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data-action=" combobox-commit:query-builder#comboboxCommit mousedown:query-builder#resultsMousedown " data-target="query-builder.resultsList" data-persist-list=false id="query-builder-test-results" ></ul> </div> <div class="FormControl-inlineValidation" id="validation-0961f9dc-dc5e-48fb-ac52-1ffb3bc5e807" hidden="hidden"> <span class="FormControl-inlineValidation--visual"> <svg aria-hidden="true" height="12" viewBox="0 0 12 12" version="1.1" width="12" data-view-component="true" class="octicon octicon-alert-fill"> <path d="M4.855.708c.5-.896 1.79-.896 2.29 0l4.675 8.351a1.312 1.312 0 0 1-1.146 1.954H1.33A1.313 1.313 0 0 1 .183 9.058ZM7 7V3H5v4Zm-1 3a1 1 0 1 0 0-2 1 1 0 0 0 0 2Z"></path> </svg> </span> <span></span> </div> </div> <div data-target="query-builder.screenReaderFeedback" aria-live="polite" aria-atomic="true" class="sr-only"></div> </query-builder></form> <div class="d-flex flex-row color-fg-muted px-3 text-small color-bg-default search-feedback-prompt"> <a target="_blank" href="https://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax" data-view-component="true" class="Link color-fg-accent text-normal ml-2"> Search syntax tips </a> <div class="d-flex flex-1"></div> </div> </div> </div> </div> </modal-dialog></div> </div> <div data-action="click:qbsearch-input#retract" class="dark-backdrop position-fixed" hidden data-target="qbsearch-input.darkBackdrop"></div> <div class="color-fg-default"> <dialog-helper> <dialog data-target="qbsearch-input.feedbackDialog" data-action="close:qbsearch-input#handleDialogClose cancel:qbsearch-input#handleDialogClose" id="feedback-dialog" aria-modal="true" aria-labelledby="feedback-dialog-title" aria-describedby="feedback-dialog-description" data-view-component="true" class="Overlay Overlay-whenNarrow Overlay--size-medium Overlay--motion-scaleFade Overlay--disableScroll"> <div data-view-component="true" class="Overlay-header"> <div class="Overlay-headerContentWrap"> <div class="Overlay-titleWrap"> <h1 class="Overlay-title " id="feedback-dialog-title"> Provide feedback </h1> </div> <div class="Overlay-actionWrap"> <button data-close-dialog-id="feedback-dialog" aria-label="Close" type="button" data-view-component="true" class="close-button Overlay-closeButton"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg></button> </div> </div> </div> <scrollable-region data-labelled-by="feedback-dialog-title"> <div data-view-component="true" class="Overlay-body"> </option></form><form id="code-search-feedback-form" data-turbo="false" action="/search/feedback" accept-charset="UTF-8" method="post"><input type="hidden" data-csrf="true" name="authenticity_token" value="wlQiO9DE6a9DyFlC8TW0r63pu/WKEd/hcBNl7RwLp41eTcIjrsTR7lZnpSogLGSF97sLVTfNML70+3LXORltjw==" /> <p>We read every piece of feedback, and take your input very seriously.</p> <textarea name="feedback" class="form-control width-full mb-2" style="height: 120px" id="feedback"></textarea> <input name="include_email" id="include_email" aria-label="Include my email address so I can be contacted" class="form-control mr-2" type="checkbox"> <label for="include_email" style="font-weight: normal">Include my email address so I can be contacted</label> </form></div> </scrollable-region> <div data-view-component="true" class="Overlay-footer Overlay-footer--alignEnd"> <button data-close-dialog-id="feedback-dialog" type="button" data-view-component="true" class="btn"> Cancel </button> <button form="code-search-feedback-form" data-action="click:qbsearch-input#submitFeedback" type="submit" data-view-component="true" class="btn-primary btn"> Submit feedback </button> </div> </dialog></dialog-helper> <custom-scopes data-target="qbsearch-input.customScopesManager"> <dialog-helper> <dialog data-target="custom-scopes.customScopesModalDialog" data-action="close:qbsearch-input#handleDialogClose cancel:qbsearch-input#handleDialogClose" id="custom-scopes-dialog" aria-modal="true" aria-labelledby="custom-scopes-dialog-title" aria-describedby="custom-scopes-dialog-description" data-view-component="true" class="Overlay Overlay-whenNarrow Overlay--size-medium Overlay--motion-scaleFade Overlay--disableScroll"> <div data-view-component="true" class="Overlay-header Overlay-header--divided"> <div class="Overlay-headerContentWrap"> <div class="Overlay-titleWrap"> <h1 class="Overlay-title " id="custom-scopes-dialog-title"> Saved searches </h1> <h2 id="custom-scopes-dialog-description" class="Overlay-description">Use saved searches to filter your results more quickly</h2> </div> <div class="Overlay-actionWrap"> <button data-close-dialog-id="custom-scopes-dialog" aria-label="Close" type="button" data-view-component="true" class="close-button Overlay-closeButton"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg></button> </div> </div> </div> <scrollable-region data-labelled-by="custom-scopes-dialog-title"> <div data-view-component="true" class="Overlay-body"> <div data-target="custom-scopes.customScopesModalDialogFlash"></div> <div hidden class="create-custom-scope-form" data-target="custom-scopes.createCustomScopeForm"> </option></form><form id="custom-scopes-dialog-form" data-turbo="false" action="/search/custom_scopes" 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dir=\"auto\"\u003eTensorFlow Data Validation\u003c/h1\u003e\u003ca id=\"user-content-tensorflow-data-validation\" class=\"anchor\" aria-label=\"Permalink: TensorFlow Data Validation\" href=\"#tensorflow-data-validation\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/tensorflow/data-validation\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/19a008ef54c81d566a31f3a8d1333fd7cd914dca885a37c356430f697975cdec/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f707974686f6e253743332e39253743332e3130253743332e31312d626c7565\" alt=\"Python\" data-canonical-src=\"https://img.shields.io/badge/python%7C3.9%7C3.10%7C3.11-blue\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://badge.fury.io/py/tensorflow-data-validation\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/8125ee51e231f8036c376b58a0415802f72cd54d4f6eb37e13213ea67336f102/68747470733a2f2f62616467652e667572792e696f2f70792f74656e736f72666c6f772d646174612d76616c69646174696f6e2e737667\" alt=\"PyPI\" data-canonical-src=\"https://badge.fury.io/py/tensorflow-data-validation.svg\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003ca href=\"https://www.tensorflow.org/tfx/data_validation/api_docs/python/tfdv\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/7dd9414d06088a904f56a7b38e6efcfa2439fec4eea73328bb88b2a1939eb971/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6170692d7265666572656e63652d626c75652e737667\" alt=\"Documentation\" data-canonical-src=\"https://img.shields.io/badge/api-reference-blue.svg\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003cem\u003eTensorFlow Data Validation\u003c/em\u003e (TFDV) is a library for exploring and validating\nmachine learning data. It is designed to be highly scalable\nand to work well with TensorFlow and \u003ca href=\"https://www.tensorflow.org/tfx\" rel=\"nofollow\"\u003eTensorFlow Extended (TFX)\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eTF Data Validation includes:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eScalable calculation of summary statistics of training and test data.\u003c/li\u003e\n\u003cli\u003eIntegration with a viewer for data distributions and statistics, as well\nas faceted comparison of pairs of features (\u003ca href=\"https://github.com/PAIR-code/facets\"\u003eFacets\u003c/a\u003e)\u003c/li\u003e\n\u003cli\u003eAutomated \u003ca href=\"https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/schema.proto\"\u003edata-schema\u003c/a\u003e\ngeneration to describe expectations about data\nlike required values, ranges, and vocabularies\u003c/li\u003e\n\u003cli\u003eA schema viewer to help you inspect the schema.\u003c/li\u003e\n\u003cli\u003eAnomaly detection to identify \u003ca href=\"https://github.com/tensorflow/data-validation/blob/master/g3doc/anomalies.md\"\u003eanomalies\u003c/a\u003e,\nsuch as missing features,\nout-of-range values, or wrong feature types, to name a few.\u003c/li\u003e\n\u003cli\u003eAn anomalies viewer so that you can see what features have anomalies and\nlearn more in order to correct them.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003eFor instructions on using TFDV, see the \u003ca href=\"https://github.com/tensorflow/data-validation/blob/master/g3doc/get_started.md\"\u003eget started guide\u003c/a\u003e\nand try out the \u003ca href=\"https://colab.research.google.com/github/tensorflow/tfx/blob/master/docs/tutorials/data_validation/tfdv_basic.ipynb\" rel=\"nofollow\"\u003eexample notebook\u003c/a\u003e.\nSome of the techniques implemented in TFDV are described in a\n\u003ca href=\"https://mlsys.org/Conferences/2019/doc/2019/167.pdf\" rel=\"nofollow\"\u003etechnical paper published in SysML'19\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstalling from PyPI\u003c/h2\u003e\u003ca id=\"user-content-installing-from-pypi\" class=\"anchor\" aria-label=\"Permalink: Installing from PyPI\" href=\"#installing-from-pypi\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe recommended way to install TFDV is using the\n\u003ca href=\"https://pypi.org/project/tensorflow-data-validation/\" rel=\"nofollow\"\u003ePyPI package\u003c/a\u003e:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"pip install tensorflow-data-validation\"\u003e\u003cpre\u003epip install tensorflow-data-validation\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eNightly Packages\u003c/h3\u003e\u003ca id=\"user-content-nightly-packages\" class=\"anchor\" aria-label=\"Permalink: Nightly Packages\" href=\"#nightly-packages\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eTFDV also hosts nightly packages on Google Cloud. To install the latest nightly\npackage, please use the following command:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"export TFX_DEPENDENCY_SELECTOR=NIGHTLY\npip install --extra-index-url https://pypi-nightly.tensorflow.org/simple tensorflow-data-validation\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003eexport\u003c/span\u003e TFX_DEPENDENCY_SELECTOR=NIGHTLY\npip install --extra-index-url https://pypi-nightly.tensorflow.org/simple tensorflow-data-validation\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis will install the nightly packages for the major dependencies of TFDV such\nas TFX Basic Shared Libraries (TFX-BSL) and TensorFlow Metadata (TFMD).\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eSometimes TFDV uses those dependencies' most recent changes, which are not yet\nreleased. Because of this, it is safer to use nightly versions of those\ndependent libraries when using nightly TFDV. Export the\n\u003ccode\u003eTFX_DEPENDENCY_SELECTOR\u003c/code\u003e environment variable to do so.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eNOTE: These nightly packages are unstable and breakages are likely to happen.\nThe fix could often take a week or more depending on the complexity involved.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eBuild with Docker\u003c/h2\u003e\u003ca id=\"user-content-build-with-docker\" class=\"anchor\" aria-label=\"Permalink: Build with Docker\" href=\"#build-with-docker\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThis is the recommended way to build TFDV under Linux, and is continuously\ntested at Google.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e1. Install Docker\u003c/h3\u003e\u003ca id=\"user-content-1-install-docker\" class=\"anchor\" aria-label=\"Permalink: 1. Install Docker\" href=\"#1-install-docker\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003ePlease first install \u003ccode\u003edocker\u003c/code\u003e and \u003ccode\u003edocker-compose\u003c/code\u003e by following the directions:\n\u003ca href=\"https://docs.docker.com/install/\" rel=\"nofollow\"\u003edocker\u003c/a\u003e;\n\u003ca href=\"https://docs.docker.com/compose/install/\" rel=\"nofollow\"\u003edocker-compose\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e2. Clone the TFDV repository\u003c/h3\u003e\u003ca id=\"user-content-2-clone-the-tfdv-repository\" class=\"anchor\" aria-label=\"Permalink: 2. Clone the TFDV repository\" href=\"#2-clone-the-tfdv-repository\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"git clone https://github.com/tensorflow/data-validation\ncd data-validation\"\u003e\u003cpre\u003egit clone https://github.com/tensorflow/data-validation\n\u003cspan class=\"pl-c1\"\u003ecd\u003c/span\u003e data-validation\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eNote that these instructions will install the latest master branch of TensorFlow\nData Validation. If you want to install a specific branch (such as a release\nbranch), pass \u003ccode\u003e-b \u0026lt;branchname\u0026gt;\u003c/code\u003e to the \u003ccode\u003egit clone\u003c/code\u003e command.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e3. Build the pip package\u003c/h3\u003e\u003ca id=\"user-content-3-build-the-pip-package\" class=\"anchor\" aria-label=\"Permalink: 3. Build the pip package\" href=\"#3-build-the-pip-package\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThen, run the following at the project root:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"sudo docker-compose build manylinux2010\nsudo docker-compose run -e PYTHON_VERSION=${PYTHON_VERSION} manylinux2010\"\u003e\u003cpre\u003esudo docker-compose build manylinux2010\nsudo docker-compose run -e PYTHON_VERSION=\u003cspan class=\"pl-smi\"\u003e${PYTHON_VERSION}\u003c/span\u003e manylinux2010\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003ewhere \u003ccode\u003ePYTHON_VERSION\u003c/code\u003e is one of \u003ccode\u003e{39, 310, 311}\u003c/code\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eA wheel will be produced under \u003ccode\u003edist/\u003c/code\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e4. Install the pip package\u003c/h3\u003e\u003ca id=\"user-content-4-install-the-pip-package\" class=\"anchor\" aria-label=\"Permalink: 4. Install the pip package\" href=\"#4-install-the-pip-package\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"pip install dist/*.whl\"\u003e\u003cpre\u003epip install dist/\u003cspan class=\"pl-k\"\u003e*\u003c/span\u003e.whl\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eBuild from source\u003c/h2\u003e\u003ca id=\"user-content-build-from-source\" class=\"anchor\" aria-label=\"Permalink: Build from source\" href=\"#build-from-source\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e1. Prerequisites\u003c/h3\u003e\u003ca id=\"user-content-1-prerequisites\" class=\"anchor\" aria-label=\"Permalink: 1. Prerequisites\" href=\"#1-prerequisites\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eTo compile and use TFDV, you need to set up some prerequisites.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstall NumPy\u003c/h4\u003e\u003ca id=\"user-content-install-numpy\" class=\"anchor\" aria-label=\"Permalink: Install NumPy\" href=\"#install-numpy\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eIf NumPy is not installed on your system, install it now by following \u003ca href=\"https://www.scipy.org/scipylib/download.html\" rel=\"nofollow\"\u003ethese\ndirections\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch4 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstall Bazel\u003c/h4\u003e\u003ca id=\"user-content-install-bazel\" class=\"anchor\" aria-label=\"Permalink: Install Bazel\" href=\"#install-bazel\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eIf Bazel is not installed on your system, install it now by following \u003ca href=\"https://bazel.build/versions/master/docs/install.html\" rel=\"nofollow\"\u003ethese\ndirections\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e2. Clone the TFDV repository\u003c/h3\u003e\u003ca id=\"user-content-2-clone-the-tfdv-repository-1\" class=\"anchor\" aria-label=\"Permalink: 2. Clone the TFDV repository\" href=\"#2-clone-the-tfdv-repository-1\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"git clone https://github.com/tensorflow/data-validation\ncd data-validation\"\u003e\u003cpre\u003egit clone https://github.com/tensorflow/data-validation\n\u003cspan class=\"pl-c1\"\u003ecd\u003c/span\u003e data-validation\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eNote that these instructions will install the latest master branch of TensorFlow\nData Validation. If you want to install a specific branch (such as a release\nbranch), pass \u003ccode\u003e-b \u0026lt;branchname\u0026gt;\u003c/code\u003e to the \u003ccode\u003egit clone\u003c/code\u003e command.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e3. Build the pip package\u003c/h3\u003e\u003ca id=\"user-content-3-build-the-pip-package-1\" class=\"anchor\" aria-label=\"Permalink: 3. Build the pip package\" href=\"#3-build-the-pip-package-1\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003ccode\u003eTFDV\u003c/code\u003e wheel is Python version dependent -- to build the pip package that\nworks for a specific Python version, use that Python binary to run:\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"python setup.py bdist_wheel\"\u003e\u003cpre\u003epython setup.py bdist_wheel\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eYou can find the generated \u003ccode\u003e.whl\u003c/code\u003e file in the \u003ccode\u003edist\u003c/code\u003e subdirectory.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e4. Install the pip package\u003c/h3\u003e\u003ca id=\"user-content-4-install-the-pip-package-1\" class=\"anchor\" aria-label=\"Permalink: 4. Install the pip package\" href=\"#4-install-the-pip-package-1\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"pip install dist/*.whl\"\u003e\u003cpre\u003epip install dist/\u003cspan class=\"pl-k\"\u003e*\u003c/span\u003e.whl\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eSupported platforms\u003c/h2\u003e\u003ca id=\"user-content-supported-platforms\" class=\"anchor\" aria-label=\"Permalink: Supported platforms\" href=\"#supported-platforms\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eTFDV is tested on the following 64-bit operating systems:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003emacOS 12.5 (Monterey) or later.\u003c/li\u003e\n\u003cli\u003eUbuntu 20.04 or later.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eNotable Dependencies\u003c/h2\u003e\u003ca id=\"user-content-notable-dependencies\" class=\"anchor\" aria-label=\"Permalink: Notable Dependencies\" href=\"#notable-dependencies\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eTensorFlow is required.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://beam.apache.org/\" rel=\"nofollow\"\u003eApache Beam\u003c/a\u003e is required; it's the way that efficient\ndistributed computation is supported. By default, Apache Beam runs in local\nmode but can also run in distributed mode using\n\u003ca href=\"https://cloud.google.com/dataflow/\" rel=\"nofollow\"\u003eGoogle Cloud Dataflow\u003c/a\u003e and other Apache\nBeam\n\u003ca href=\"https://beam.apache.org/documentation/runners/capability-matrix/\" rel=\"nofollow\"\u003erunners\u003c/a\u003e.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://arrow.apache.org/\" rel=\"nofollow\"\u003eApache Arrow\u003c/a\u003e is also required. TFDV uses Arrow to\nrepresent data internally in order to make use of vectorized numpy functions.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eCompatible versions\u003c/h2\u003e\u003ca id=\"user-content-compatible-versions\" class=\"anchor\" aria-label=\"Permalink: Compatible versions\" href=\"#compatible-versions\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eThe following table shows the package versions that are\ncompatible with each other. This is determined by our testing framework, but\nother \u003cem\u003euntested\u003c/em\u003e combinations may also work.\u003c/p\u003e\n\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003etensorflow-data-validation\u003c/th\u003e\n\u003cth\u003eapache-beam[gcp]\u003c/th\u003e\n\u003cth\u003epyarrow\u003c/th\u003e\n\u003cth\u003etensorflow\u003c/th\u003e\n\u003cth\u003etensorflow-metadata\u003c/th\u003e\n\u003cth\u003etensorflow-transform\u003c/th\u003e\n\u003cth\u003etfx-bsl\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/master/RELEASE.md\"\u003eGitHub master\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.59.0\u003c/td\u003e\n\u003ctd\u003e10.0.1\u003c/td\u003e\n\u003ctd\u003enightly (2.x)\u003c/td\u003e\n\u003ctd\u003e1.16.1\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.16.1\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.16.1/RELEASE.md\"\u003e1.16.1\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.59.0\u003c/td\u003e\n\u003ctd\u003e10.0.1\u003c/td\u003e\n\u003ctd\u003e2.16\u003c/td\u003e\n\u003ctd\u003e1.16.1\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.16.1\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.16.0/RELEASE.md\"\u003e1.16.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.59.0\u003c/td\u003e\n\u003ctd\u003e10.0.1\u003c/td\u003e\n\u003ctd\u003e2.16\u003c/td\u003e\n\u003ctd\u003e1.16.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.16.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.15.1/RELEASE.md\"\u003e1.15.1\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.47.0\u003c/td\u003e\n\u003ctd\u003e10.0.0\u003c/td\u003e\n\u003ctd\u003e2.15\u003c/td\u003e\n\u003ctd\u003e1.15.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.15.1\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.15.0/RELEASE.md\"\u003e1.15.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.47.0\u003c/td\u003e\n\u003ctd\u003e10.0.0\u003c/td\u003e\n\u003ctd\u003e2.15\u003c/td\u003e\n\u003ctd\u003e1.15.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.15.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.14.0/RELEASE.md\"\u003e1.14.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.47.0\u003c/td\u003e\n\u003ctd\u003e10.0.0\u003c/td\u003e\n\u003ctd\u003e2.13\u003c/td\u003e\n\u003ctd\u003e1.14.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.14.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.13.0/RELEASE.md\"\u003e1.13.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.40.0\u003c/td\u003e\n\u003ctd\u003e6.0.0\u003c/td\u003e\n\u003ctd\u003e2.12\u003c/td\u003e\n\u003ctd\u003e1.13.1\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.13.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.12.0/RELEASE.md\"\u003e1.12.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.40.0\u003c/td\u003e\n\u003ctd\u003e6.0.0\u003c/td\u003e\n\u003ctd\u003e2.11\u003c/td\u003e\n\u003ctd\u003e1.12.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.12.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.11.0/RELEASE.md\"\u003e1.11.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.40.0\u003c/td\u003e\n\u003ctd\u003e6.0.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.10\u003c/td\u003e\n\u003ctd\u003e1.11.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.11.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.10.0/RELEASE.md\"\u003e1.10.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.40.0\u003c/td\u003e\n\u003ctd\u003e6.0.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.9\u003c/td\u003e\n\u003ctd\u003e1.10.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.10.1\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.9.0/RELEASE.md\"\u003e1.9.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.38.0\u003c/td\u003e\n\u003ctd\u003e5.0.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.9\u003c/td\u003e\n\u003ctd\u003e1.9.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.9.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.8.0/RELEASE.md\"\u003e1.8.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.38.0\u003c/td\u003e\n\u003ctd\u003e5.0.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.8\u003c/td\u003e\n\u003ctd\u003e1.8.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.8.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.7.0/RELEASE.md\"\u003e1.7.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.36.0\u003c/td\u003e\n\u003ctd\u003e5.0.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.8\u003c/td\u003e\n\u003ctd\u003e1.7.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.7.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.6.0/RELEASE.md\"\u003e1.6.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.35.0\u003c/td\u003e\n\u003ctd\u003e5.0.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.7\u003c/td\u003e\n\u003ctd\u003e1.6.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.6.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.5.0/RELEASE.md\"\u003e1.5.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.34.0\u003c/td\u003e\n\u003ctd\u003e5.0.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.7\u003c/td\u003e\n\u003ctd\u003e1.5.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.5.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.4.0/RELEASE.md\"\u003e1.4.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.32.0\u003c/td\u003e\n\u003ctd\u003e4.0.1\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.6\u003c/td\u003e\n\u003ctd\u003e1.4.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.4.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.3.0/RELEASE.md\"\u003e1.3.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.32.0\u003c/td\u003e\n\u003ctd\u003e2.0.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.6\u003c/td\u003e\n\u003ctd\u003e1.2.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.3.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.2.0/RELEASE.md\"\u003e1.2.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.31.0\u003c/td\u003e\n\u003ctd\u003e2.0.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.5\u003c/td\u003e\n\u003ctd\u003e1.2.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.2.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.1.1/RELEASE.md\"\u003e1.1.1\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.29.0\u003c/td\u003e\n\u003ctd\u003e2.0.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.5\u003c/td\u003e\n\u003ctd\u003e1.1.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.1.1\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.1.0/RELEASE.md\"\u003e1.1.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.29.0\u003c/td\u003e\n\u003ctd\u003e2.0.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.5\u003c/td\u003e\n\u003ctd\u003e1.1.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.1.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v1.0.0/RELEASE.md\"\u003e1.0.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.29.0\u003c/td\u003e\n\u003ctd\u003e2.0.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.5\u003c/td\u003e\n\u003ctd\u003e1.0.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.0.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.30.0/RELEASE.md\"\u003e0.30.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.28.0\u003c/td\u003e\n\u003ctd\u003e2.0.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.4\u003c/td\u003e\n\u003ctd\u003e0.30.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e0.30.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.29.0/RELEASE.md\"\u003e0.29.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.28.0\u003c/td\u003e\n\u003ctd\u003e2.0.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.4\u003c/td\u003e\n\u003ctd\u003e0.29.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e0.29.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.28.0/RELEASE.md\"\u003e0.28.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.28.0\u003c/td\u003e\n\u003ctd\u003e2.0.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.4\u003c/td\u003e\n\u003ctd\u003e0.28.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e0.28.1\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.27.0/RELEASE.md\"\u003e0.27.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.27.0\u003c/td\u003e\n\u003ctd\u003e2.0.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.4\u003c/td\u003e\n\u003ctd\u003e0.27.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e0.27.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.26.1/RELEASE.md\"\u003e0.26.1\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.28.0\u003c/td\u003e\n\u003ctd\u003e0.17.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.3\u003c/td\u003e\n\u003ctd\u003e0.26.0\u003c/td\u003e\n\u003ctd\u003e0.26.0\u003c/td\u003e\n\u003ctd\u003e0.26.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.26.0/RELEASE.md\"\u003e0.26.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.25.0\u003c/td\u003e\n\u003ctd\u003e0.17.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.3\u003c/td\u003e\n\u003ctd\u003e0.26.0\u003c/td\u003e\n\u003ctd\u003e0.26.0\u003c/td\u003e\n\u003ctd\u003e0.26.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.25.0/RELEASE.md\"\u003e0.25.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.25.0\u003c/td\u003e\n\u003ctd\u003e0.17.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.3\u003c/td\u003e\n\u003ctd\u003e0.25.0\u003c/td\u003e\n\u003ctd\u003e0.25.0\u003c/td\u003e\n\u003ctd\u003e0.25.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.24.1/RELEASE.md\"\u003e0.24.1\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.24.0\u003c/td\u003e\n\u003ctd\u003e0.17.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.3\u003c/td\u003e\n\u003ctd\u003e0.24.0\u003c/td\u003e\n\u003ctd\u003e0.24.1\u003c/td\u003e\n\u003ctd\u003e0.24.1\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.24.0/RELEASE.md\"\u003e0.24.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.23.0\u003c/td\u003e\n\u003ctd\u003e0.17.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.3\u003c/td\u003e\n\u003ctd\u003e0.24.0\u003c/td\u003e\n\u003ctd\u003e0.24.0\u003c/td\u003e\n\u003ctd\u003e0.24.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.23.1/RELEASE.md\"\u003e0.23.1\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.24.0\u003c/td\u003e\n\u003ctd\u003e0.17.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.3\u003c/td\u003e\n\u003ctd\u003e0.23.0\u003c/td\u003e\n\u003ctd\u003e0.23.0\u003c/td\u003e\n\u003ctd\u003e0.23.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.23.0/RELEASE.md\"\u003e0.23.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.23.0\u003c/td\u003e\n\u003ctd\u003e0.17.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.3\u003c/td\u003e\n\u003ctd\u003e0.23.0\u003c/td\u003e\n\u003ctd\u003e0.23.0\u003c/td\u003e\n\u003ctd\u003e0.23.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.22.2/RELEASE.md\"\u003e0.22.2\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.20.0\u003c/td\u003e\n\u003ctd\u003e0.16.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.2\u003c/td\u003e\n\u003ctd\u003e0.22.0\u003c/td\u003e\n\u003ctd\u003e0.22.0\u003c/td\u003e\n\u003ctd\u003e0.22.1\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.22.1/RELEASE.md\"\u003e0.22.1\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.20.0\u003c/td\u003e\n\u003ctd\u003e0.16.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.2\u003c/td\u003e\n\u003ctd\u003e0.22.0\u003c/td\u003e\n\u003ctd\u003e0.22.0\u003c/td\u003e\n\u003ctd\u003e0.22.1\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.22.0/RELEASE.md\"\u003e0.22.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.20.0\u003c/td\u003e\n\u003ctd\u003e0.16.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.2\u003c/td\u003e\n\u003ctd\u003e0.22.0\u003c/td\u003e\n\u003ctd\u003e0.22.0\u003c/td\u003e\n\u003ctd\u003e0.22.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.21.5/RELEASE.md\"\u003e0.21.5\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.17.0\u003c/td\u003e\n\u003ctd\u003e0.15.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.1\u003c/td\u003e\n\u003ctd\u003e0.21.0\u003c/td\u003e\n\u003ctd\u003e0.21.1\u003c/td\u003e\n\u003ctd\u003e0.21.3\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.21.4/RELEASE.md\"\u003e0.21.4\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.17.0\u003c/td\u003e\n\u003ctd\u003e0.15.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.1\u003c/td\u003e\n\u003ctd\u003e0.21.0\u003c/td\u003e\n\u003ctd\u003e0.21.1\u003c/td\u003e\n\u003ctd\u003e0.21.3\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.21.2/RELEASE.md\"\u003e0.21.2\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.17.0\u003c/td\u003e\n\u003ctd\u003e0.15.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.1\u003c/td\u003e\n\u003ctd\u003e0.21.0\u003c/td\u003e\n\u003ctd\u003e0.21.0\u003c/td\u003e\n\u003ctd\u003e0.21.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.21.1/RELEASE.md\"\u003e0.21.1\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.17.0\u003c/td\u003e\n\u003ctd\u003e0.15.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.1\u003c/td\u003e\n\u003ctd\u003e0.21.0\u003c/td\u003e\n\u003ctd\u003e0.21.0\u003c/td\u003e\n\u003ctd\u003e0.21.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.21.0/RELEASE.md\"\u003e0.21.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.17.0\u003c/td\u003e\n\u003ctd\u003e0.15.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.1\u003c/td\u003e\n\u003ctd\u003e0.21.0\u003c/td\u003e\n\u003ctd\u003e0.21.0\u003c/td\u003e\n\u003ctd\u003e0.21.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.15.0/RELEASE.md\"\u003e0.15.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.16.0\u003c/td\u003e\n\u003ctd\u003e0.14.0\u003c/td\u003e\n\u003ctd\u003e1.15 / 2.0\u003c/td\u003e\n\u003ctd\u003e0.15.0\u003c/td\u003e\n\u003ctd\u003e0.15.0\u003c/td\u003e\n\u003ctd\u003e0.15.0\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.14.1/RELEASE.md\"\u003e0.14.1\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.14.0\u003c/td\u003e\n\u003ctd\u003e0.14.0\u003c/td\u003e\n\u003ctd\u003e1.14\u003c/td\u003e\n\u003ctd\u003e0.14.0\u003c/td\u003e\n\u003ctd\u003e0.14.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.14.0/RELEASE.md\"\u003e0.14.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.14.0\u003c/td\u003e\n\u003ctd\u003e0.14.0\u003c/td\u003e\n\u003ctd\u003e1.14\u003c/td\u003e\n\u003ctd\u003e0.14.0\u003c/td\u003e\n\u003ctd\u003e0.14.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.13.1/RELEASE.md\"\u003e0.13.1\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.11.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.13\u003c/td\u003e\n\u003ctd\u003e0.12.1\u003c/td\u003e\n\u003ctd\u003e0.13.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.13.0/RELEASE.md\"\u003e0.13.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.11.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.13\u003c/td\u003e\n\u003ctd\u003e0.12.1\u003c/td\u003e\n\u003ctd\u003e0.13.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.12.0/RELEASE.md\"\u003e0.12.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.10.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.12\u003c/td\u003e\n\u003ctd\u003e0.12.1\u003c/td\u003e\n\u003ctd\u003e0.12.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.11.0/RELEASE.md\"\u003e0.11.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.8.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.11\u003c/td\u003e\n\u003ctd\u003e0.9.0\u003c/td\u003e\n\u003ctd\u003e0.11.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/tensorflow/data-validation/blob/v0.9.0/RELEASE.md\"\u003e0.9.0\u003c/a\u003e\u003c/td\u003e\n\u003ctd\u003e2.6.0\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003e1.9\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003ctd\u003en/a\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eQuestions\u003c/h2\u003e\u003ca id=\"user-content-questions\" class=\"anchor\" aria-label=\"Permalink: Questions\" href=\"#questions\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003ePlease direct any questions about working with TF Data Validation to\n\u003ca href=\"https://stackoverflow.com\" rel=\"nofollow\"\u003eStack Overflow\u003c/a\u003e using the\n\u003ca href=\"https://stackoverflow.com/questions/tagged/tensorflow-data-validation\" rel=\"nofollow\"\u003etensorflow-data-validation\u003c/a\u003e\ntag.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eLinks\u003c/h2\u003e\u003ca id=\"user-content-links\" class=\"anchor\" aria-label=\"Permalink: Links\" href=\"#links\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://www.tensorflow.org/tfx/data_validation/get_started\" rel=\"nofollow\"\u003eTensorFlow Data Validation Getting Started Guide\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://colab.research.google.com/github/tensorflow/tfx/blob/master/docs/tutorials/data_validation/tfdv_basic.ipynb\" rel=\"nofollow\"\u003eTensorFlow Data Validation Notebook\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://www.tensorflow.org/tfx/data_validation/api_docs/python/tfdv\" rel=\"nofollow\"\u003eTensorFlow Data Validation API Documentation\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://medium.com/tensorflow/introducing-tensorflow-data-validation-data-understanding-validation-and-monitoring-at-scale-d38e3952c2f0\" rel=\"nofollow\"\u003eTensorFlow Data Validation Blog Post\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://pypi.org/project/tensorflow-data-validation/\" rel=\"nofollow\"\u003eTensorFlow Data Validation PyPI\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://mlsys.org/Conferences/2019/doc/2019/167.pdf\" rel=\"nofollow\"\u003eTensorFlow Data Validation Paper\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://conf.slac.stanford.edu/xldb2018/sites/xldb2018.conf.slac.stanford.edu/files/Tues_09.45_NeoklisPolyzotis_Data%20Analysis%20and%20Validation%20(1).pdf\" rel=\"nofollow\"\u003eTensorFlow Data Validation Slides\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/article\u003e","loaded":true,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":[{"level":1,"text":"TensorFlow Data Validation","anchor":"tensorflow-data-validation","htmlText":"TensorFlow Data Validation"},{"level":2,"text":"Installing from PyPI","anchor":"installing-from-pypi","htmlText":"Installing from PyPI"},{"level":3,"text":"Nightly Packages","anchor":"nightly-packages","htmlText":"Nightly Packages"},{"level":2,"text":"Build with Docker","anchor":"build-with-docker","htmlText":"Build with Docker"},{"level":3,"text":"1. Install Docker","anchor":"1-install-docker","htmlText":"1. Install Docker"},{"level":3,"text":"2. Clone the TFDV repository","anchor":"2-clone-the-tfdv-repository","htmlText":"2. Clone the TFDV repository"},{"level":3,"text":"3. Build the pip package","anchor":"3-build-the-pip-package","htmlText":"3. Build the pip package"},{"level":3,"text":"4. Install the pip package","anchor":"4-install-the-pip-package","htmlText":"4. Install the pip package"},{"level":2,"text":"Build from source","anchor":"build-from-source","htmlText":"Build from source"},{"level":3,"text":"1. Prerequisites","anchor":"1-prerequisites","htmlText":"1. Prerequisites"},{"level":4,"text":"Install NumPy","anchor":"install-numpy","htmlText":"Install NumPy"},{"level":4,"text":"Install Bazel","anchor":"install-bazel","htmlText":"Install Bazel"},{"level":3,"text":"2. Clone the TFDV repository","anchor":"2-clone-the-tfdv-repository-1","htmlText":"2. Clone the TFDV repository"},{"level":3,"text":"3. Build the pip package","anchor":"3-build-the-pip-package-1","htmlText":"3. Build the pip package"},{"level":3,"text":"4. Install the pip package","anchor":"4-install-the-pip-package-1","htmlText":"4. Install the pip package"},{"level":2,"text":"Supported platforms","anchor":"supported-platforms","htmlText":"Supported platforms"},{"level":2,"text":"Notable Dependencies","anchor":"notable-dependencies","htmlText":"Notable Dependencies"},{"level":2,"text":"Compatible versions","anchor":"compatible-versions","htmlText":"Compatible 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width="16" height="16" fill="currentColor" style="display:inline-block;user-select:none;vertical-align:text-bottom;overflow:visible"><path d="M5.75 2.5h8.5a.75.75 0 0 1 0 1.5h-8.5a.75.75 0 0 1 0-1.5Zm0 5h8.5a.75.75 0 0 1 0 1.5h-8.5a.75.75 0 0 1 0-1.5Zm0 5h8.5a.75.75 0 0 1 0 1.5h-8.5a.75.75 0 0 1 0-1.5ZM2 14a1 1 0 1 1 0-2 1 1 0 0 1 0 2Zm1-6a1 1 0 1 1-2 0 1 1 0 0 1 2 0ZM2 4a1 1 0 1 1 0-2 1 1 0 0 1 0 2Z"></path></svg></button></div><div class="Box-sc-g0xbh4-0 QkQOb js-snippet-clipboard-copy-unpositioned" data-hpc="true"><article class="markdown-body entry-content container-lg" itemprop="text"> <div class="markdown-heading" dir="auto"><h1 tabindex="-1" class="heading-element" dir="auto">TensorFlow Data Validation</h1><a id="user-content-tensorflow-data-validation" class="anchor" aria-label="Permalink: TensorFlow Data Validation" href="#tensorflow-data-validation"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><a href="https://github.com/tensorflow/data-validation"><img src="https://camo.githubusercontent.com/19a008ef54c81d566a31f3a8d1333fd7cd914dca885a37c356430f697975cdec/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f707974686f6e253743332e39253743332e3130253743332e31312d626c7565" alt="Python" data-canonical-src="https://img.shields.io/badge/python%7C3.9%7C3.10%7C3.11-blue" style="max-width: 100%;"></a> <a href="https://badge.fury.io/py/tensorflow-data-validation" rel="nofollow"><img src="https://camo.githubusercontent.com/8125ee51e231f8036c376b58a0415802f72cd54d4f6eb37e13213ea67336f102/68747470733a2f2f62616467652e667572792e696f2f70792f74656e736f72666c6f772d646174612d76616c69646174696f6e2e737667" alt="PyPI" data-canonical-src="https://badge.fury.io/py/tensorflow-data-validation.svg" style="max-width: 100%;"></a> <a href="https://www.tensorflow.org/tfx/data_validation/api_docs/python/tfdv" rel="nofollow"><img src="https://camo.githubusercontent.com/7dd9414d06088a904f56a7b38e6efcfa2439fec4eea73328bb88b2a1939eb971/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6170692d7265666572656e63652d626c75652e737667" alt="Documentation" data-canonical-src="https://img.shields.io/badge/api-reference-blue.svg" style="max-width: 100%;"></a></p> <p dir="auto"><em>TensorFlow Data Validation</em> (TFDV) is a library for exploring and validating machine learning data. It is designed to be highly scalable and to work well with TensorFlow and <a href="https://www.tensorflow.org/tfx" rel="nofollow">TensorFlow Extended (TFX)</a>.</p> <p dir="auto">TF Data Validation includes:</p> <ul dir="auto"> <li>Scalable calculation of summary statistics of training and test data.</li> <li>Integration with a viewer for data distributions and statistics, as well as faceted comparison of pairs of features (<a href="https://github.com/PAIR-code/facets">Facets</a>)</li> <li>Automated <a href="https://github.com/tensorflow/metadata/blob/master/tensorflow_metadata/proto/v0/schema.proto">data-schema</a> generation to describe expectations about data like required values, ranges, and vocabularies</li> <li>A schema viewer to help you inspect the schema.</li> <li>Anomaly detection to identify <a href="https://github.com/tensorflow/data-validation/blob/master/g3doc/anomalies.md">anomalies</a>, such as missing features, out-of-range values, or wrong feature types, to name a few.</li> <li>An anomalies viewer so that you can see what features have anomalies and learn more in order to correct them.</li> </ul> <p dir="auto">For instructions on using TFDV, see the <a href="https://github.com/tensorflow/data-validation/blob/master/g3doc/get_started.md">get started guide</a> and try out the <a href="https://colab.research.google.com/github/tensorflow/tfx/blob/master/docs/tutorials/data_validation/tfdv_basic.ipynb" rel="nofollow">example notebook</a>. Some of the techniques implemented in TFDV are described in a <a href="https://mlsys.org/Conferences/2019/doc/2019/167.pdf" rel="nofollow">technical paper published in SysML'19</a>.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Installing from PyPI</h2><a id="user-content-installing-from-pypi" class="anchor" aria-label="Permalink: Installing from PyPI" href="#installing-from-pypi"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">The recommended way to install TFDV is using the <a href="https://pypi.org/project/tensorflow-data-validation/" rel="nofollow">PyPI package</a>:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="pip install tensorflow-data-validation"><pre>pip install tensorflow-data-validation</pre></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Nightly Packages</h3><a id="user-content-nightly-packages" class="anchor" aria-label="Permalink: Nightly Packages" href="#nightly-packages"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">TFDV also hosts nightly packages on Google Cloud. To install the latest nightly package, please use the following command:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="export TFX_DEPENDENCY_SELECTOR=NIGHTLY pip install --extra-index-url https://pypi-nightly.tensorflow.org/simple tensorflow-data-validation"><pre><span class="pl-k">export</span> TFX_DEPENDENCY_SELECTOR=NIGHTLY pip install --extra-index-url https://pypi-nightly.tensorflow.org/simple tensorflow-data-validation</pre></div> <p dir="auto">This will install the nightly packages for the major dependencies of TFDV such as TFX Basic Shared Libraries (TFX-BSL) and TensorFlow Metadata (TFMD).</p> <p dir="auto">Sometimes TFDV uses those dependencies' most recent changes, which are not yet released. Because of this, it is safer to use nightly versions of those dependent libraries when using nightly TFDV. Export the <code>TFX_DEPENDENCY_SELECTOR</code> environment variable to do so.</p> <p dir="auto">NOTE: These nightly packages are unstable and breakages are likely to happen. The fix could often take a week or more depending on the complexity involved.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Build with Docker</h2><a id="user-content-build-with-docker" class="anchor" aria-label="Permalink: Build with Docker" href="#build-with-docker"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">This is the recommended way to build TFDV under Linux, and is continuously tested at Google.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">1. Install Docker</h3><a id="user-content-1-install-docker" class="anchor" aria-label="Permalink: 1. Install Docker" href="#1-install-docker"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Please first install <code>docker</code> and <code>docker-compose</code> by following the directions: <a href="https://docs.docker.com/install/" rel="nofollow">docker</a>; <a href="https://docs.docker.com/compose/install/" rel="nofollow">docker-compose</a>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">2. Clone the TFDV repository</h3><a id="user-content-2-clone-the-tfdv-repository" class="anchor" aria-label="Permalink: 2. Clone the TFDV repository" href="#2-clone-the-tfdv-repository"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="git clone https://github.com/tensorflow/data-validation cd data-validation"><pre>git clone https://github.com/tensorflow/data-validation <span class="pl-c1">cd</span> data-validation</pre></div> <p dir="auto">Note that these instructions will install the latest master branch of TensorFlow Data Validation. If you want to install a specific branch (such as a release branch), pass <code>-b <branchname></code> to the <code>git clone</code> command.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">3. Build the pip package</h3><a id="user-content-3-build-the-pip-package" class="anchor" aria-label="Permalink: 3. Build the pip package" href="#3-build-the-pip-package"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Then, run the following at the project root:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="sudo docker-compose build manylinux2010 sudo docker-compose run -e PYTHON_VERSION=${PYTHON_VERSION} manylinux2010"><pre>sudo docker-compose build manylinux2010 sudo docker-compose run -e PYTHON_VERSION=<span class="pl-smi">${PYTHON_VERSION}</span> manylinux2010</pre></div> <p dir="auto">where <code>PYTHON_VERSION</code> is one of <code>{39, 310, 311}</code>.</p> <p dir="auto">A wheel will be produced under <code>dist/</code>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">4. Install the pip package</h3><a id="user-content-4-install-the-pip-package" class="anchor" aria-label="Permalink: 4. Install the pip package" href="#4-install-the-pip-package"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="pip install dist/*.whl"><pre>pip install dist/<span class="pl-k">*</span>.whl</pre></div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Build from source</h2><a id="user-content-build-from-source" class="anchor" aria-label="Permalink: Build from source" href="#build-from-source"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">1. Prerequisites</h3><a id="user-content-1-prerequisites" class="anchor" aria-label="Permalink: 1. Prerequisites" href="#1-prerequisites"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">To compile and use TFDV, you need to set up some prerequisites.</p> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Install NumPy</h4><a id="user-content-install-numpy" class="anchor" aria-label="Permalink: Install NumPy" href="#install-numpy"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">If NumPy is not installed on your system, install it now by following <a href="https://www.scipy.org/scipylib/download.html" rel="nofollow">these directions</a>.</p> <div class="markdown-heading" dir="auto"><h4 tabindex="-1" class="heading-element" dir="auto">Install Bazel</h4><a id="user-content-install-bazel" class="anchor" aria-label="Permalink: Install Bazel" href="#install-bazel"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">If Bazel is not installed on your system, install it now by following <a href="https://bazel.build/versions/master/docs/install.html" rel="nofollow">these directions</a>.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">2. Clone the TFDV repository</h3><a id="user-content-2-clone-the-tfdv-repository-1" class="anchor" aria-label="Permalink: 2. Clone the TFDV repository" href="#2-clone-the-tfdv-repository-1"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="git clone https://github.com/tensorflow/data-validation cd data-validation"><pre>git clone https://github.com/tensorflow/data-validation <span class="pl-c1">cd</span> data-validation</pre></div> <p dir="auto">Note that these instructions will install the latest master branch of TensorFlow Data Validation. If you want to install a specific branch (such as a release branch), pass <code>-b <branchname></code> to the <code>git clone</code> command.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">3. Build the pip package</h3><a id="user-content-3-build-the-pip-package-1" class="anchor" aria-label="Permalink: 3. Build the pip package" href="#3-build-the-pip-package-1"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><code>TFDV</code> wheel is Python version dependent -- to build the pip package that works for a specific Python version, use that Python binary to run:</p> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="python setup.py bdist_wheel"><pre>python setup.py bdist_wheel</pre></div> <p dir="auto">You can find the generated <code>.whl</code> file in the <code>dist</code> subdirectory.</p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">4. Install the pip package</h3><a id="user-content-4-install-the-pip-package-1" class="anchor" aria-label="Permalink: 4. Install the pip package" href="#4-install-the-pip-package-1"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-shell notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="pip install dist/*.whl"><pre>pip install dist/<span class="pl-k">*</span>.whl</pre></div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Supported platforms</h2><a id="user-content-supported-platforms" class="anchor" aria-label="Permalink: Supported platforms" href="#supported-platforms"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">TFDV is tested on the following 64-bit operating systems:</p> <ul dir="auto"> <li>macOS 12.5 (Monterey) or later.</li> <li>Ubuntu 20.04 or later.</li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Notable Dependencies</h2><a id="user-content-notable-dependencies" class="anchor" aria-label="Permalink: Notable Dependencies" href="#notable-dependencies"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">TensorFlow is required.</p> <p dir="auto"><a href="https://beam.apache.org/" rel="nofollow">Apache Beam</a> is required; it's the way that efficient distributed computation is supported. By default, Apache Beam runs in local mode but can also run in distributed mode using <a href="https://cloud.google.com/dataflow/" rel="nofollow">Google Cloud Dataflow</a> and other Apache Beam <a href="https://beam.apache.org/documentation/runners/capability-matrix/" rel="nofollow">runners</a>.</p> <p dir="auto"><a href="https://arrow.apache.org/" rel="nofollow">Apache Arrow</a> is also required. TFDV uses Arrow to represent data internally in order to make use of vectorized numpy functions.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Compatible versions</h2><a id="user-content-compatible-versions" class="anchor" aria-label="Permalink: Compatible versions" href="#compatible-versions"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">The following table shows the package versions that are compatible with each other. This is determined by our testing framework, but other <em>untested</em> combinations may also work.</p> <markdown-accessiblity-table><table> <thead> <tr> <th>tensorflow-data-validation</th> <th>apache-beam[gcp]</th> <th>pyarrow</th> <th>tensorflow</th> <th>tensorflow-metadata</th> <th>tensorflow-transform</th> <th>tfx-bsl</th> </tr> </thead> <tbody> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/master/RELEASE.md">GitHub master</a></td> <td>2.59.0</td> <td>10.0.1</td> <td>nightly (2.x)</td> <td>1.16.1</td> <td>n/a</td> <td>1.16.1</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.16.1/RELEASE.md">1.16.1</a></td> <td>2.59.0</td> <td>10.0.1</td> <td>2.16</td> <td>1.16.1</td> <td>n/a</td> <td>1.16.1</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.16.0/RELEASE.md">1.16.0</a></td> <td>2.59.0</td> <td>10.0.1</td> <td>2.16</td> <td>1.16.0</td> <td>n/a</td> <td>1.16.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.15.1/RELEASE.md">1.15.1</a></td> <td>2.47.0</td> <td>10.0.0</td> <td>2.15</td> <td>1.15.0</td> <td>n/a</td> <td>1.15.1</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.15.0/RELEASE.md">1.15.0</a></td> <td>2.47.0</td> <td>10.0.0</td> <td>2.15</td> <td>1.15.0</td> <td>n/a</td> <td>1.15.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.14.0/RELEASE.md">1.14.0</a></td> <td>2.47.0</td> <td>10.0.0</td> <td>2.13</td> <td>1.14.0</td> <td>n/a</td> <td>1.14.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.13.0/RELEASE.md">1.13.0</a></td> <td>2.40.0</td> <td>6.0.0</td> <td>2.12</td> <td>1.13.1</td> <td>n/a</td> <td>1.13.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.12.0/RELEASE.md">1.12.0</a></td> <td>2.40.0</td> <td>6.0.0</td> <td>2.11</td> <td>1.12.0</td> <td>n/a</td> <td>1.12.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.11.0/RELEASE.md">1.11.0</a></td> <td>2.40.0</td> <td>6.0.0</td> <td>1.15 / 2.10</td> <td>1.11.0</td> <td>n/a</td> <td>1.11.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.10.0/RELEASE.md">1.10.0</a></td> <td>2.40.0</td> <td>6.0.0</td> <td>1.15 / 2.9</td> <td>1.10.0</td> <td>n/a</td> <td>1.10.1</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.9.0/RELEASE.md">1.9.0</a></td> <td>2.38.0</td> <td>5.0.0</td> <td>1.15 / 2.9</td> <td>1.9.0</td> <td>n/a</td> <td>1.9.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.8.0/RELEASE.md">1.8.0</a></td> <td>2.38.0</td> <td>5.0.0</td> <td>1.15 / 2.8</td> <td>1.8.0</td> <td>n/a</td> <td>1.8.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.7.0/RELEASE.md">1.7.0</a></td> <td>2.36.0</td> <td>5.0.0</td> <td>1.15 / 2.8</td> <td>1.7.0</td> <td>n/a</td> <td>1.7.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.6.0/RELEASE.md">1.6.0</a></td> <td>2.35.0</td> <td>5.0.0</td> <td>1.15 / 2.7</td> <td>1.6.0</td> <td>n/a</td> <td>1.6.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.5.0/RELEASE.md">1.5.0</a></td> <td>2.34.0</td> <td>5.0.0</td> <td>1.15 / 2.7</td> <td>1.5.0</td> <td>n/a</td> <td>1.5.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.4.0/RELEASE.md">1.4.0</a></td> <td>2.32.0</td> <td>4.0.1</td> <td>1.15 / 2.6</td> <td>1.4.0</td> <td>n/a</td> <td>1.4.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.3.0/RELEASE.md">1.3.0</a></td> <td>2.32.0</td> <td>2.0.0</td> <td>1.15 / 2.6</td> <td>1.2.0</td> <td>n/a</td> <td>1.3.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.2.0/RELEASE.md">1.2.0</a></td> <td>2.31.0</td> <td>2.0.0</td> <td>1.15 / 2.5</td> <td>1.2.0</td> <td>n/a</td> <td>1.2.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.1.1/RELEASE.md">1.1.1</a></td> <td>2.29.0</td> <td>2.0.0</td> <td>1.15 / 2.5</td> <td>1.1.0</td> <td>n/a</td> <td>1.1.1</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.1.0/RELEASE.md">1.1.0</a></td> <td>2.29.0</td> <td>2.0.0</td> <td>1.15 / 2.5</td> <td>1.1.0</td> <td>n/a</td> <td>1.1.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v1.0.0/RELEASE.md">1.0.0</a></td> <td>2.29.0</td> <td>2.0.0</td> <td>1.15 / 2.5</td> <td>1.0.0</td> <td>n/a</td> <td>1.0.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.30.0/RELEASE.md">0.30.0</a></td> <td>2.28.0</td> <td>2.0.0</td> <td>1.15 / 2.4</td> <td>0.30.0</td> <td>n/a</td> <td>0.30.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.29.0/RELEASE.md">0.29.0</a></td> <td>2.28.0</td> <td>2.0.0</td> <td>1.15 / 2.4</td> <td>0.29.0</td> <td>n/a</td> <td>0.29.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.28.0/RELEASE.md">0.28.0</a></td> <td>2.28.0</td> <td>2.0.0</td> <td>1.15 / 2.4</td> <td>0.28.0</td> <td>n/a</td> <td>0.28.1</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.27.0/RELEASE.md">0.27.0</a></td> <td>2.27.0</td> <td>2.0.0</td> <td>1.15 / 2.4</td> <td>0.27.0</td> <td>n/a</td> <td>0.27.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.26.1/RELEASE.md">0.26.1</a></td> <td>2.28.0</td> <td>0.17.0</td> <td>1.15 / 2.3</td> <td>0.26.0</td> <td>0.26.0</td> <td>0.26.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.26.0/RELEASE.md">0.26.0</a></td> <td>2.25.0</td> <td>0.17.0</td> <td>1.15 / 2.3</td> <td>0.26.0</td> <td>0.26.0</td> <td>0.26.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.25.0/RELEASE.md">0.25.0</a></td> <td>2.25.0</td> <td>0.17.0</td> <td>1.15 / 2.3</td> <td>0.25.0</td> <td>0.25.0</td> <td>0.25.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.24.1/RELEASE.md">0.24.1</a></td> <td>2.24.0</td> <td>0.17.0</td> <td>1.15 / 2.3</td> <td>0.24.0</td> <td>0.24.1</td> <td>0.24.1</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.24.0/RELEASE.md">0.24.0</a></td> <td>2.23.0</td> <td>0.17.0</td> <td>1.15 / 2.3</td> <td>0.24.0</td> <td>0.24.0</td> <td>0.24.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.23.1/RELEASE.md">0.23.1</a></td> <td>2.24.0</td> <td>0.17.0</td> <td>1.15 / 2.3</td> <td>0.23.0</td> <td>0.23.0</td> <td>0.23.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.23.0/RELEASE.md">0.23.0</a></td> <td>2.23.0</td> <td>0.17.0</td> <td>1.15 / 2.3</td> <td>0.23.0</td> <td>0.23.0</td> <td>0.23.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.22.2/RELEASE.md">0.22.2</a></td> <td>2.20.0</td> <td>0.16.0</td> <td>1.15 / 2.2</td> <td>0.22.0</td> <td>0.22.0</td> <td>0.22.1</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.22.1/RELEASE.md">0.22.1</a></td> <td>2.20.0</td> <td>0.16.0</td> <td>1.15 / 2.2</td> <td>0.22.0</td> <td>0.22.0</td> <td>0.22.1</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.22.0/RELEASE.md">0.22.0</a></td> <td>2.20.0</td> <td>0.16.0</td> <td>1.15 / 2.2</td> <td>0.22.0</td> <td>0.22.0</td> <td>0.22.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.21.5/RELEASE.md">0.21.5</a></td> <td>2.17.0</td> <td>0.15.0</td> <td>1.15 / 2.1</td> <td>0.21.0</td> <td>0.21.1</td> <td>0.21.3</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.21.4/RELEASE.md">0.21.4</a></td> <td>2.17.0</td> <td>0.15.0</td> <td>1.15 / 2.1</td> <td>0.21.0</td> <td>0.21.1</td> <td>0.21.3</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.21.2/RELEASE.md">0.21.2</a></td> <td>2.17.0</td> <td>0.15.0</td> <td>1.15 / 2.1</td> <td>0.21.0</td> <td>0.21.0</td> <td>0.21.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.21.1/RELEASE.md">0.21.1</a></td> <td>2.17.0</td> <td>0.15.0</td> <td>1.15 / 2.1</td> <td>0.21.0</td> <td>0.21.0</td> <td>0.21.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.21.0/RELEASE.md">0.21.0</a></td> <td>2.17.0</td> <td>0.15.0</td> <td>1.15 / 2.1</td> <td>0.21.0</td> <td>0.21.0</td> <td>0.21.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.15.0/RELEASE.md">0.15.0</a></td> <td>2.16.0</td> <td>0.14.0</td> <td>1.15 / 2.0</td> <td>0.15.0</td> <td>0.15.0</td> <td>0.15.0</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.14.1/RELEASE.md">0.14.1</a></td> <td>2.14.0</td> <td>0.14.0</td> <td>1.14</td> <td>0.14.0</td> <td>0.14.0</td> <td>n/a</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.14.0/RELEASE.md">0.14.0</a></td> <td>2.14.0</td> <td>0.14.0</td> <td>1.14</td> <td>0.14.0</td> <td>0.14.0</td> <td>n/a</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.13.1/RELEASE.md">0.13.1</a></td> <td>2.11.0</td> <td>n/a</td> <td>1.13</td> <td>0.12.1</td> <td>0.13.0</td> <td>n/a</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.13.0/RELEASE.md">0.13.0</a></td> <td>2.11.0</td> <td>n/a</td> <td>1.13</td> <td>0.12.1</td> <td>0.13.0</td> <td>n/a</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.12.0/RELEASE.md">0.12.0</a></td> <td>2.10.0</td> <td>n/a</td> <td>1.12</td> <td>0.12.1</td> <td>0.12.0</td> <td>n/a</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.11.0/RELEASE.md">0.11.0</a></td> <td>2.8.0</td> <td>n/a</td> <td>1.11</td> <td>0.9.0</td> <td>0.11.0</td> <td>n/a</td> </tr> <tr> <td><a href="https://github.com/tensorflow/data-validation/blob/v0.9.0/RELEASE.md">0.9.0</a></td> <td>2.6.0</td> <td>n/a</td> <td>1.9</td> <td>n/a</td> <td>n/a</td> <td>n/a</td> </tr> </tbody> </table></markdown-accessiblity-table> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Questions</h2><a id="user-content-questions" class="anchor" aria-label="Permalink: Questions" href="#questions"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">Please direct any questions about working with TF Data Validation to <a href="https://stackoverflow.com" rel="nofollow">Stack Overflow</a> using the <a href="https://stackoverflow.com/questions/tagged/tensorflow-data-validation" rel="nofollow">tensorflow-data-validation</a> tag.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Links</h2><a id="user-content-links" class="anchor" aria-label="Permalink: Links" href="#links"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ul dir="auto"> <li><a href="https://www.tensorflow.org/tfx/data_validation/get_started" rel="nofollow">TensorFlow Data Validation Getting Started Guide</a></li> <li><a href="https://colab.research.google.com/github/tensorflow/tfx/blob/master/docs/tutorials/data_validation/tfdv_basic.ipynb" rel="nofollow">TensorFlow Data Validation Notebook</a></li> <li><a href="https://www.tensorflow.org/tfx/data_validation/api_docs/python/tfdv" rel="nofollow">TensorFlow Data Validation API Documentation</a></li> <li><a href="https://medium.com/tensorflow/introducing-tensorflow-data-validation-data-understanding-validation-and-monitoring-at-scale-d38e3952c2f0" rel="nofollow">TensorFlow Data Validation Blog Post</a></li> <li><a href="https://pypi.org/project/tensorflow-data-validation/" rel="nofollow">TensorFlow Data Validation PyPI</a></li> <li><a href="https://mlsys.org/Conferences/2019/doc/2019/167.pdf" rel="nofollow">TensorFlow Data Validation Paper</a></li> <li><a href="https://conf.slac.stanford.edu/xldb2018/sites/xldb2018.conf.slac.stanford.edu/files/Tues_09.45_NeoklisPolyzotis_Data%20Analysis%20and%20Validation%20(1).pdf" rel="nofollow">TensorFlow Data Validation Slides</a></li> </ul> </article></div></div></div></div></div>   <script type="application/json" id="__PRIMER_DATA_:R0:__">{"resolvedServerColorMode":"day"}</script></div> </react-partial> <input type="hidden" data-csrf="true" 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1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z"></path> </svg> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check js-clipboard-check-icon color-fg-success d-none"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> </clipboard-copy> </div> </template> </div> <div id="js-global-screen-reader-notice" class="sr-only mt-n1" aria-live="polite" aria-atomic="true" ></div> <div id="js-global-screen-reader-notice-assertive" class="sr-only mt-n1" aria-live="assertive" aria-atomic="true"></div> </body> </html>