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GitHub - sumerc/yappi: Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.
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d="M12 1C5.9225 1 1 5.9225 1 12C1 16.8675 4.14875 20.9787 8.52125 22.4362C9.07125 22.5325 9.2775 22.2025 9.2775 21.9137C9.2775 21.6525 9.26375 20.7862 9.26375 19.865C6.5 20.3737 5.785 19.1912 5.565 18.5725C5.44125 18.2562 4.905 17.28 4.4375 17.0187C4.0525 16.8125 3.5025 16.3037 4.42375 16.29C5.29 16.2762 5.90875 17.0875 6.115 17.4175C7.105 19.0812 8.68625 18.6137 9.31875 18.325C9.415 17.61 9.70375 17.1287 10.02 16.8537C7.5725 16.5787 5.015 15.63 5.015 11.4225C5.015 10.2262 5.44125 9.23625 6.1425 8.46625C6.0325 8.19125 5.6475 7.06375 6.2525 5.55125C6.2525 5.55125 7.17375 5.2625 9.2775 6.67875C10.1575 6.43125 11.0925 6.3075 12.0275 6.3075C12.9625 6.3075 13.8975 6.43125 14.7775 6.67875C16.8813 5.24875 17.8025 5.55125 17.8025 5.55125C18.4075 7.06375 18.0225 8.19125 17.9125 8.46625C18.6138 9.23625 19.04 10.2125 19.04 11.4225C19.04 15.6437 16.4688 16.5787 14.0213 16.8537C14.42 17.1975 14.7638 17.8575 14.7638 18.8887C14.7638 20.36 14.75 21.5425 14.75 21.9137C14.75 22.2025 14.9563 22.5462 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class="HeaderMenu-wrapper d-flex flex-column flex-self-start flex-lg-row flex-auto rounded rounded-lg-0"> <nav class="HeaderMenu-nav" aria-label="Global"> <ul class="d-lg-flex list-style-none"> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Product <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 d-lg-flex flex-wrap dropdown-menu-wide"> <div class="HeaderMenu-column px-lg-4 border-lg-right mb-4 mb-lg-0 pr-lg-7"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"github_copilot","context":"product","tag":"link","label":"github_copilot_link_product_navbar"}" href="https://github.com/features/copilot"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-copilot color-fg-subtle mr-3"> <path d="M23.922 16.992c-.861 1.495-5.859 5.023-11.922 5.023-6.063 0-11.061-3.528-11.922-5.023A.641.641 0 0 1 0 16.736v-2.869a.841.841 0 0 1 .053-.22c.372-.935 1.347-2.292 2.605-2.656.167-.429.414-1.055.644-1.517a10.195 10.195 0 0 1-.052-1.086c0-1.331.282-2.499 1.132-3.368.397-.406.89-.717 1.474-.952 1.399-1.136 3.392-2.093 6.122-2.093 2.731 0 4.767.957 6.166 2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.832.832 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256ZM12.172 11h-.344a4.323 4.323 0 0 1-.355.508C10.703 12.455 9.555 13 7.965 13c-1.725 0-2.989-.359-3.782-1.259a2.005 2.005 0 0 1-.085-.104L4 11.741v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.323 4.323 0 0 1-.355-.508h-.016.016Zm.641-2.935c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 0-1.14-.243-1.847-.705-2.319-.477-.488-1.319-.862-2.824-1.025-1.487-.161-2.192.138-2.533.529-.269.307-.437.808-.438 1.578v.021c0 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class="octicon octicon-shield-check color-fg-subtle mr-3"> <path d="M16.53 9.78a.75.75 0 0 0-1.06-1.06L11 13.19l-1.97-1.97a.75.75 0 0 0-1.06 1.06l2.5 2.5a.75.75 0 0 0 1.06 0l5-5Z"></path><path d="m12.54.637 8.25 2.675A1.75 1.75 0 0 1 22 4.976V10c0 6.19-3.771 10.704-9.401 12.83a1.704 1.704 0 0 1-1.198 0C5.77 20.705 2 16.19 2 10V4.976c0-.758.489-1.43 1.21-1.664L11.46.637a1.748 1.748 0 0 1 1.08 0Zm-.617 1.426-8.25 2.676a.249.249 0 0 0-.173.237V10c0 5.46 3.28 9.483 8.43 11.426a.199.199 0 0 0 .14 0C17.22 19.483 20.5 15.461 20.5 10V4.976a.25.25 0 0 0-.173-.237l-8.25-2.676a.253.253 0 0 0-.154 0Z"></path> </svg> <div> <div class="color-fg-default h4">Security</div> Find and fix vulnerabilities </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"actions","context":"product","tag":"link","label":"actions_link_product_navbar"}" href="https://github.com/features/actions"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-workflow color-fg-subtle mr-3"> <path d="M1 3a2 2 0 0 1 2-2h6.5a2 2 0 0 1 2 2v6.5a2 2 0 0 1-2 2H7v4.063C7 16.355 7.644 17 8.438 17H12.5v-2.5a2 2 0 0 1 2-2H21a2 2 0 0 1 2 2V21a2 2 0 0 1-2 2h-6.5a2 2 0 0 1-2-2v-2.5H8.437A2.939 2.939 0 0 1 5.5 15.562V11.5H3a2 2 0 0 1-2-2Zm2-.5a.5.5 0 0 0-.5.5v6.5a.5.5 0 0 0 .5.5h6.5a.5.5 0 0 0 .5-.5V3a.5.5 0 0 0-.5-.5ZM14.5 14a.5.5 0 0 0-.5.5V21a.5.5 0 0 0 .5.5H21a.5.5 0 0 0 .5-.5v-6.5a.5.5 0 0 0-.5-.5Z"></path> </svg> <div> <div class="color-fg-default h4">Actions</div> Automate any workflow </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"codespaces","context":"product","tag":"link","label":"codespaces_link_product_navbar"}" href="https://github.com/features/codespaces"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-codespaces color-fg-subtle mr-3"> <path d="M3.5 3.75C3.5 2.784 4.284 2 5.25 2h13.5c.966 0 1.75.784 1.75 1.75v7.5A1.75 1.75 0 0 1 18.75 13H5.25a1.75 1.75 0 0 1-1.75-1.75Zm-2 12c0-.966.784-1.75 1.75-1.75h17.5c.966 0 1.75.784 1.75 1.75v4a1.75 1.75 0 0 1-1.75 1.75H3.25a1.75 1.75 0 0 1-1.75-1.75ZM5.25 3.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h13.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Zm-2 12a.25.25 0 0 0-.25.25v4c0 .138.112.25.25.25h17.5a.25.25 0 0 0 .25-.25v-4a.25.25 0 0 0-.25-.25Z"></path><path d="M10 17.75a.75.75 0 0 1 .75-.75h6.5a.75.75 0 0 1 0 1.5h-6.5a.75.75 0 0 1-.75-.75Zm-4 0a.75.75 0 0 1 .75-.75h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1-.75-.75Z"></path> </svg> <div> <div class="color-fg-default h4">Codespaces</div> Instant dev environments </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"issues","context":"product","tag":"link","label":"issues_link_product_navbar"}" href="https://github.com/features/issues"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-issue-opened color-fg-subtle mr-3"> <path d="M12 1c6.075 0 11 4.925 11 11s-4.925 11-11 11S1 18.075 1 12 5.925 1 12 1ZM2.5 12a9.5 9.5 0 0 0 9.5 9.5 9.5 9.5 0 0 0 9.5-9.5A9.5 9.5 0 0 0 12 2.5 9.5 9.5 0 0 0 2.5 12Zm9.5 2a2 2 0 1 1-.001-3.999A2 2 0 0 1 12 14Z"></path> </svg> <div> <div class="color-fg-default h4">Issues</div> Plan and track work </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"code_review","context":"product","tag":"link","label":"code_review_link_product_navbar"}" href="https://github.com/features/code-review"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-code-review color-fg-subtle mr-3"> <path d="M10.3 6.74a.75.75 0 0 1-.04 1.06l-2.908 2.7 2.908 2.7a.75.75 0 1 1-1.02 1.1l-3.5-3.25a.75.75 0 0 1 0-1.1l3.5-3.25a.75.75 0 0 1 1.06.04Zm3.44 1.06a.75.75 0 1 1 1.02-1.1l3.5 3.25a.75.75 0 0 1 0 1.1l-3.5 3.25a.75.75 0 1 1-1.02-1.1l2.908-2.7-2.908-2.7Z"></path><path d="M1.5 4.25c0-.966.784-1.75 1.75-1.75h17.5c.966 0 1.75.784 1.75 1.75v12.5a1.75 1.75 0 0 1-1.75 1.75h-9.69l-3.573 3.573A1.458 1.458 0 0 1 5 21.043V18.5H3.25a1.75 1.75 0 0 1-1.75-1.75ZM3.25 4a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h2.5a.75.75 0 0 1 .75.75v3.19l3.72-3.72a.749.749 0 0 1 .53-.22h10a.25.25 0 0 0 .25-.25V4.25a.25.25 0 0 0-.25-.25Z"></path> </svg> <div> <div class="color-fg-default h4">Code Review</div> Manage code changes </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"discussions","context":"product","tag":"link","label":"discussions_link_product_navbar"}" href="https://github.com/features/discussions"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-comment-discussion color-fg-subtle mr-3"> <path d="M1.75 1h12.5c.966 0 1.75.784 1.75 1.75v9.5A1.75 1.75 0 0 1 14.25 14H8.061l-2.574 2.573A1.458 1.458 0 0 1 3 15.543V14H1.75A1.75 1.75 0 0 1 0 12.25v-9.5C0 1.784.784 1 1.75 1ZM1.5 2.75v9.5c0 .138.112.25.25.25h2a.75.75 0 0 1 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width="24" data-view-component="true" class="octicon octicon-code-square color-fg-subtle mr-3"> <path d="M10.3 8.24a.75.75 0 0 1-.04 1.06L7.352 12l2.908 2.7a.75.75 0 1 1-1.02 1.1l-3.5-3.25a.75.75 0 0 1 0-1.1l3.5-3.25a.75.75 0 0 1 1.06.04Zm3.44 1.06a.75.75 0 1 1 1.02-1.1l3.5 3.25a.75.75 0 0 1 0 1.1l-3.5 3.25a.75.75 0 1 1-1.02-1.1l2.908-2.7-2.908-2.7Z"></path><path d="M2 3.75C2 2.784 2.784 2 3.75 2h16.5c.966 0 1.75.784 1.75 1.75v16.5A1.75 1.75 0 0 1 20.25 22H3.75A1.75 1.75 0 0 1 2 20.25Zm1.75-.25a.25.25 0 0 0-.25.25v16.5c0 .138.112.25.25.25h16.5a.25.25 0 0 0 .25-.25V3.75a.25.25 0 0 0-.25-.25Z"></path> </svg> <div> <div class="color-fg-default h4">Code Search</div> Find more, search less </div> </a></li> </ul> </div> </div> <div class="HeaderMenu-column px-lg-4"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0 border-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="product-explore-heading">Explore</span> <ul class="list-style-none f5" 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0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{"location":"navbar","action":"github_skills","context":"product","tag":"link","label":"github_skills_link_product_navbar"}" href="https://skills.github.com"> GitHub Skills <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 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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"> <!-- '"` --><!-- </textarea></xmp> --></option></form><form id="custom-scopes-dialog-form" data-turbo="false" action="/search/custom_scopes" accept-charset="UTF-8" method="post"><input type="hidden" data-csrf="true" name="authenticity_token" value="P7ehP+gSDX8CaD4wrW3+dBIE4STMlWeUsXzGHhl5ng5RVbIMwi02Tjrcil4/CTkfYHL7PrGL+fqgTQzh2Ektqg==" /> <div data-target="custom-scopes.customScopesModalDialogFlash"></div> <input type="hidden" 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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 align=\"center\" dir=\"auto\"\u003e\n A tracing profiler that is \u003cb\u003emultithreading, asyncio and gevent\u003c/b\u003e aware.\n\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://freepalestine.dev\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/7d3e0c85842b8982576517fff47dc995af7e9adced5c1726ee4f4480e94edaa6/68747470733a2f2f6672656570616c657374696e652e6465762f6865616465722f31\" alt=\"FreePalestine.Dev\" data-canonical-src=\"https://freepalestine.dev/header/1\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp align=\"center\" dir=\"auto\"\u003e\n \u003ca href=\"https://github.com/sumerc/yappi/actions/workflows/main.yml\"\u003e\u003cimg 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src=\"https://camo.githubusercontent.com/9ee3ae56ed6f67fb2bf0bc47275c72875ea0e8c25485cc9e5c01dd6e13162388/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f73756d6572632f79617070692e737667\" data-canonical-src=\"https://img.shields.io/github/license/sumerc/yappi.svg\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n \u003ca href=\"https://freepalestine.dev\" rel=\"nofollow\"\u003e\u003cimg src=\"https://camo.githubusercontent.com/cd913501028a923f36c47c373bd4454d4c06c3801516f188ac9bfb0a6a3d26bf/68747470733a2f2f6672656570616c657374696e652e6465762f62616467653f743d6426753d3026723d31\" alt=\"From the river to the sea, Palestine will be free\" data-canonical-src=\"https://freepalestine.dev/badge?t=d\u0026amp;u=0\u0026amp;r=1\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eHighlights\u003c/h2\u003e\u003ca id=\"user-content-highlights\" class=\"anchor\" aria-label=\"Permalink: Highlights\" href=\"#highlights\"\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\u003cstrong\u003eFast\u003c/strong\u003e: Yappi is fast. It is completely written in C and lots of love and care went into making it fast.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eUnique\u003c/strong\u003e: Yappi supports multithreaded, \u003ca href=\"https://github.com/sumerc/yappi/blob/master/doc/coroutine-profiling.md\"\u003easyncio\u003c/a\u003e and \u003ca href=\"https://github.com/sumerc/yappi/blob/master/doc/greenlet-profiling.md\"\u003egevent\u003c/a\u003e profiling. Tagging/filtering multiple profiler results has interesting \u003ca href=\"https://github.com/sumerc/yappi/blob/master/doc/api.md#set_tag_callback\"\u003euse cases\u003c/a\u003e.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eIntuitive\u003c/strong\u003e: Profiler can be started/stopped and results can be obtained from any time and any thread.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eStandards Compliant\u003c/strong\u003e: Profiler results can be saved in \u003ca href=\"http://valgrind.org/docs/manual/cl-format.html\" rel=\"nofollow\"\u003ecallgrind\u003c/a\u003e or \u003ca href=\"http://docs.python.org/3.4/library/profile.html#pstats.Stats\" rel=\"nofollow\"\u003epstat\u003c/a\u003e formats.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eRich in Feature set\u003c/strong\u003e: Profiler results can show either \u003ca href=\"https://en.wikipedia.org/wiki/Elapsed_real_time\" rel=\"nofollow\"\u003eWall Time\u003c/a\u003e or actual \u003ca href=\"http://en.wikipedia.org/wiki/CPU_time\" rel=\"nofollow\"\u003eCPU Time\u003c/a\u003e and can be aggregated from different sessions. Various flags are defined for filtering and sorting profiler results.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eRobust\u003c/strong\u003e: Yappi has been around for years.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eMotivation\u003c/h2\u003e\u003ca id=\"user-content-motivation\" class=\"anchor\" aria-label=\"Permalink: Motivation\" href=\"#motivation\"\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\"\u003eCPython standard distribution comes with three deterministic profilers. \u003ccode\u003ecProfile\u003c/code\u003e, \u003ccode\u003eProfile\u003c/code\u003e and \u003ccode\u003ehotshot\u003c/code\u003e. \u003ccode\u003ecProfile\u003c/code\u003e is implemented as a C module based on \u003ccode\u003elsprof\u003c/code\u003e, \u003ccode\u003eProfile\u003c/code\u003e is in pure Python and \u003ccode\u003ehotshot\u003c/code\u003e can be seen as a small subset of a cProfile. The major issue is that all of these profilers lack support for multi-threaded programs and CPU time.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eIf you want to profile a multi-threaded application, you must give an entry point to these profilers and then maybe merge the outputs. None of these profilers are designed to work on long-running multi-threaded applications. It is also not possible to profile an application that start/stop/retrieve traces on the fly with these profilers.\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eNow fast forwarding to 2019: With the latest improvements on \u003ccode\u003easyncio\u003c/code\u003e library and asynchronous frameworks, most of the current profilers lacks the ability to show correct wall/cpu time or even call count information per-coroutine. Thus we need a different kind of approach to profile asynchronous code. Yappi, with v1.2 introduces the concept of \u003ccode\u003ecoroutine profiling\u003c/code\u003e. With \u003ccode\u003ecoroutine-profiling\u003c/code\u003e, you should be able to profile correct wall/cpu time and call count of your coroutine. (including the time spent in context switches, too). You can see details \u003ca href=\"https://github.com/sumerc/yappi/blob/master/doc/coroutine-profiling.md\"\u003ehere\u003c/a\u003e.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eInstallation\u003c/h2\u003e\u003ca id=\"user-content-installation\" class=\"anchor\" aria-label=\"Permalink: Installation\" href=\"#installation\"\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\"\u003eCan be installed via PyPI\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"$ pip install yappi\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003e$ pip install yappi\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eOR from the source directly.\u003c/p\u003e\n\u003cdiv class=\"snippet-clipboard-content notranslate position-relative overflow-auto\" data-snippet-clipboard-copy-content=\"$ pip install git+https://github.com/sumerc/yappi#egg=yappi\"\u003e\u003cpre class=\"notranslate\"\u003e\u003ccode\u003e$ pip install git+https://github.com/sumerc/yappi#egg=yappi\n\u003c/code\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eExamples\u003c/h2\u003e\u003ca id=\"user-content-examples\" class=\"anchor\" aria-label=\"Permalink: Examples\" href=\"#examples\"\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\"\u003eA simple example:\u003c/h3\u003e\u003ca id=\"user-content-a-simple-example\" class=\"anchor\" aria-label=\"Permalink: A simple example:\" href=\"#a-simple-example\"\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-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"import yappi\n\ndef a():\n for _ in range(10000000): # do something CPU heavy\n pass\n\nyappi.set_clock_type(\u0026quot;cpu\u0026quot;) # Use set_clock_type(\u0026quot;wall\u0026quot;) for wall time\nyappi.start()\na()\n\nyappi.get_func_stats().print_all()\nyappi.get_thread_stats().print_all()\n'''\n\nClock type: CPU\nOrdered by: totaltime, desc\n\nname ncall tsub ttot tavg \ndoc.py:5 a 1 0.117907 0.117907 0.117907\n\nname id tid ttot scnt \n_MainThread 0 139867147315008 0.118297 1\n'''\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e\n\n\u003cspan class=\"pl-k\"\u003edef\u003c/span\u003e \u003cspan class=\"pl-en\"\u003ea\u003c/span\u003e():\n \u003cspan class=\"pl-k\"\u003efor\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003e_\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003ein\u003c/span\u003e \u003cspan class=\"pl-en\"\u003erange\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003e10000000\u003c/span\u003e): \u003cspan class=\"pl-c\"\u003e# do something CPU heavy\u003c/span\u003e\n \u003cspan class=\"pl-k\"\u003epass\u003c/span\u003e\n\n\u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eset_clock_type\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\"cpu\"\u003c/span\u003e) \u003cspan class=\"pl-c\"\u003e# Use set_clock_type(\"wall\") for wall time\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003estart\u003c/span\u003e()\n\u003cspan class=\"pl-en\"\u003ea\u003c/span\u003e()\n\n\u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eget_func_stats\u003c/span\u003e().\u003cspan class=\"pl-c1\"\u003eprint_all\u003c/span\u003e()\n\u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eget_thread_stats\u003c/span\u003e().\u003cspan class=\"pl-c1\"\u003eprint_all\u003c/span\u003e()\n\u003cspan class=\"pl-s\"\u003e'''\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003eClock type: CPU\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003eOrdered by: totaltime, desc\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003ename ncall tsub ttot tavg \u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003edoc.py:5 a 1 0.117907 0.117907 0.117907\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003ename id tid ttot scnt \u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e_MainThread 0 139867147315008 0.118297 1\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e'''\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eProfile a multithreaded application:\u003c/h3\u003e\u003ca id=\"user-content-profile-a-multithreaded-application\" class=\"anchor\" aria-label=\"Permalink: Profile a multithreaded application:\" href=\"#profile-a-multithreaded-application\"\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\"\u003eYou can profile a multithreaded application via Yappi and can easily retrieve\nper-thread profile information by filtering on \u003ccode\u003ectx_id\u003c/code\u003e with \u003ccode\u003eget_func_stats\u003c/code\u003e API.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"import yappi\nimport time\nimport threading\n\n_NTHREAD = 3\n\n\ndef _work(n):\n time.sleep(n * 0.1)\n\n\nyappi.start()\n\nthreads = []\n# generate _NTHREAD threads\nfor i in range(_NTHREAD):\n t = threading.Thread(target=_work, args=(i + 1, ))\n t.start()\n threads.append(t)\n# wait all threads to finish\nfor t in threads:\n t.join()\n\nyappi.stop()\n\n# retrieve thread stats by their thread id (given by yappi)\nthreads = yappi.get_thread_stats()\nfor thread in threads:\n print(\n \u0026quot;Function stats for (%s) (%d)\u0026quot; % (thread.name, thread.id)\n ) # it is the Thread.__class__.__name__\n yappi.get_func_stats(ctx_id=thread.id).print_all()\n'''\nFunction stats for (Thread) (3)\n\nname ncall tsub ttot tavg\n..hon3.7/threading.py:859 Thread.run 1 0.000017 0.000062 0.000062\ndoc3.py:8 _work 1 0.000012 0.000045 0.000045\n\nFunction stats for (Thread) (2)\n\nname ncall tsub ttot tavg\n..hon3.7/threading.py:859 Thread.run 1 0.000017 0.000065 0.000065\ndoc3.py:8 _work 1 0.000010 0.000048 0.000048\n\n\nFunction stats for (Thread) (1)\n\nname ncall tsub ttot tavg\n..hon3.7/threading.py:859 Thread.run 1 0.000010 0.000043 0.000043\ndoc3.py:8 _work 1 0.000006 0.000033 0.000033\n'''\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003etime\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ethreading\u003c/span\u003e\n\n\u003cspan class=\"pl-s1\"\u003e_NTHREAD\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e3\u003c/span\u003e\n\n\n\u003cspan class=\"pl-k\"\u003edef\u003c/span\u003e \u003cspan class=\"pl-en\"\u003e_work\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003en\u003c/span\u003e):\n \u003cspan class=\"pl-s1\"\u003etime\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003esleep\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003en\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e*\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e0.1\u003c/span\u003e)\n\n\n\u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003estart\u003c/span\u003e()\n\n\u003cspan class=\"pl-s1\"\u003ethreads\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e []\n\u003cspan class=\"pl-c\"\u003e# generate _NTHREAD threads\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003efor\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ei\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003ein\u003c/span\u003e \u003cspan class=\"pl-en\"\u003erange\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003e_NTHREAD\u003c/span\u003e):\n \u003cspan class=\"pl-s1\"\u003et\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ethreading\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eThread\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003etarget\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003e_work\u003c/span\u003e, \u003cspan class=\"pl-s1\"\u003eargs\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003ei\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e+\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e1\u003c/span\u003e, ))\n \u003cspan class=\"pl-s1\"\u003et\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003estart\u003c/span\u003e()\n \u003cspan class=\"pl-s1\"\u003ethreads\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eappend\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003et\u003c/span\u003e)\n\u003cspan class=\"pl-c\"\u003e# wait all threads to finish\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003efor\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003et\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003ein\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ethreads\u003c/span\u003e:\n \u003cspan class=\"pl-s1\"\u003et\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003ejoin\u003c/span\u003e()\n\n\u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003estop\u003c/span\u003e()\n\n\u003cspan class=\"pl-c\"\u003e# retrieve thread stats by their thread id (given by yappi)\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003ethreads\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eget_thread_stats\u003c/span\u003e()\n\u003cspan class=\"pl-k\"\u003efor\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ethread\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003ein\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ethreads\u003c/span\u003e:\n \u003cspan class=\"pl-en\"\u003eprint\u003c/span\u003e(\n \u003cspan class=\"pl-s\"\u003e\"Function stats for (%s) (%d)\"\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e%\u003c/span\u003e (\u003cspan class=\"pl-s1\"\u003ethread\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003ename\u003c/span\u003e, \u003cspan class=\"pl-s1\"\u003ethread\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eid\u003c/span\u003e)\n ) \u003cspan class=\"pl-c\"\u003e# it is the Thread.__class__.__name__\u003c/span\u003e\n \u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eget_func_stats\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003ectx_id\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-s1\"\u003ethread\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eid\u003c/span\u003e).\u003cspan class=\"pl-c1\"\u003eprint_all\u003c/span\u003e()\n\u003cspan class=\"pl-s\"\u003e'''\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003eFunction stats for (Thread) (3)\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003ename ncall tsub ttot tavg\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e..hon3.7/threading.py:859 Thread.run 1 0.000017 0.000062 0.000062\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003edoc3.py:8 _work 1 0.000012 0.000045 0.000045\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003eFunction stats for (Thread) (2)\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003ename ncall tsub ttot tavg\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e..hon3.7/threading.py:859 Thread.run 1 0.000017 0.000065 0.000065\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003edoc3.py:8 _work 1 0.000010 0.000048 0.000048\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003eFunction stats for (Thread) (1)\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003ename ncall tsub ttot tavg\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e..hon3.7/threading.py:859 Thread.run 1 0.000010 0.000043 0.000043\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003edoc3.py:8 _work 1 0.000006 0.000033 0.000033\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e'''\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eDifferent ways to filter/sort stats:\u003c/h3\u003e\u003ca id=\"user-content-different-ways-to-filtersort-stats\" class=\"anchor\" aria-label=\"Permalink: Different ways to filter/sort stats:\" href=\"#different-ways-to-filtersort-stats\"\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\"\u003eYou can use \u003ccode\u003efilter_callback\u003c/code\u003e on \u003ccode\u003eget_func_stats\u003c/code\u003e API to filter on functions, modules\nor whatever available in \u003ccode\u003eYFuncStat\u003c/code\u003e object.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"import package_a\nimport yappi\nimport sys\n\ndef a():\n pass\n\ndef b():\n pass\n\nyappi.start()\na()\nb()\npackage_a.a()\nyappi.stop()\n\n# filter by module object\ncurrent_module = sys.modules[__name__]\nstats = yappi.get_func_stats(\n filter_callback=lambda x: yappi.module_matches(x, [current_module])\n) # x is a yappi.YFuncStat object\nstats.sort(\u0026quot;name\u0026quot;, \u0026quot;desc\u0026quot;).print_all()\n'''\nClock type: CPU\nOrdered by: name, desc\n\nname ncall tsub ttot tavg\ndoc2.py:10 b 1 0.000001 0.000001 0.000001\ndoc2.py:6 a 1 0.000001 0.000001 0.000001\n'''\n\n# filter by function object\nstats = yappi.get_func_stats(\n filter_callback=lambda x: yappi.func_matches(x, [a, b])\n).print_all()\n'''\nname ncall tsub ttot tavg\ndoc2.py:6 a 1 0.000001 0.000001 0.000001\ndoc2.py:10 b 1 0.000001 0.000001 0.000001\n'''\n\n# filter by module name\nstats = yappi.get_func_stats(filter_callback=lambda x: 'package_a' in x.module\n ).print_all()\n'''\nname ncall tsub ttot tavg\npackage_a/__init__.py:1 a 1 0.000001 0.000001 0.000001\n'''\n\n# filter by function name\nstats = yappi.get_func_stats(filter_callback=lambda x: 'a' in x.name\n ).print_all()\n'''\nname ncall tsub ttot tavg\ndoc2.py:6 a 1 0.000001 0.000001 0.000001\npackage_a/__init__.py:1 a 1 0.000001 0.000001 0.000001\n'''\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003epackage_a\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003esys\u003c/span\u003e\n\n\u003cspan class=\"pl-k\"\u003edef\u003c/span\u003e \u003cspan class=\"pl-en\"\u003ea\u003c/span\u003e():\n \u003cspan class=\"pl-k\"\u003epass\u003c/span\u003e\n\n\u003cspan class=\"pl-k\"\u003edef\u003c/span\u003e \u003cspan class=\"pl-en\"\u003eb\u003c/span\u003e():\n \u003cspan class=\"pl-k\"\u003epass\u003c/span\u003e\n\n\u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003estart\u003c/span\u003e()\n\u003cspan class=\"pl-en\"\u003ea\u003c/span\u003e()\n\u003cspan class=\"pl-en\"\u003eb\u003c/span\u003e()\n\u003cspan class=\"pl-s1\"\u003epackage_a\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003ea\u003c/span\u003e()\n\u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003estop\u003c/span\u003e()\n\n\u003cspan class=\"pl-c\"\u003e# filter by module object\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003ecurrent_module\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003esys\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003emodules\u003c/span\u003e[\u003cspan class=\"pl-s1\"\u003e__name__\u003c/span\u003e]\n\u003cspan class=\"pl-s1\"\u003estats\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eget_func_stats\u003c/span\u003e(\n \u003cspan class=\"pl-s1\"\u003efilter_callback\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-k\"\u003elambda\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ex\u003c/span\u003e: \u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003emodule_matches\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003ex\u003c/span\u003e, [\u003cspan class=\"pl-s1\"\u003ecurrent_module\u003c/span\u003e])\n) \u003cspan class=\"pl-c\"\u003e# x is a yappi.YFuncStat object\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003estats\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003esort\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\"name\"\u003c/span\u003e, \u003cspan class=\"pl-s\"\u003e\"desc\"\u003c/span\u003e).\u003cspan class=\"pl-c1\"\u003eprint_all\u003c/span\u003e()\n\u003cspan class=\"pl-s\"\u003e'''\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003eClock type: CPU\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003eOrdered by: name, desc\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003ename ncall tsub ttot tavg\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003edoc2.py:10 b 1 0.000001 0.000001 0.000001\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003edoc2.py:6 a 1 0.000001 0.000001 0.000001\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e'''\u003c/span\u003e\n\n\u003cspan class=\"pl-c\"\u003e# filter by function object\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003estats\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eget_func_stats\u003c/span\u003e(\n \u003cspan class=\"pl-s1\"\u003efilter_callback\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-k\"\u003elambda\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ex\u003c/span\u003e: \u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003efunc_matches\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003ex\u003c/span\u003e, [\u003cspan class=\"pl-s1\"\u003ea\u003c/span\u003e, \u003cspan class=\"pl-s1\"\u003eb\u003c/span\u003e])\n).\u003cspan class=\"pl-c1\"\u003eprint_all\u003c/span\u003e()\n\u003cspan class=\"pl-s\"\u003e'''\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003ename ncall tsub ttot tavg\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003edoc2.py:6 a 1 0.000001 0.000001 0.000001\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003edoc2.py:10 b 1 0.000001 0.000001 0.000001\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e'''\u003c/span\u003e\n\n\u003cspan class=\"pl-c\"\u003e# filter by module name\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003estats\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eget_func_stats\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003efilter_callback\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-k\"\u003elambda\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ex\u003c/span\u003e: \u003cspan class=\"pl-s\"\u003e'package_a'\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003ein\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ex\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003emodule\u003c/span\u003e\n ).\u003cspan class=\"pl-c1\"\u003eprint_all\u003c/span\u003e()\n\u003cspan class=\"pl-s\"\u003e'''\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003ename ncall tsub ttot tavg\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003epackage_a/__init__.py:1 a 1 0.000001 0.000001 0.000001\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e'''\u003c/span\u003e\n\n\u003cspan class=\"pl-c\"\u003e# filter by function name\u003c/span\u003e\n\u003cspan class=\"pl-s1\"\u003estats\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eget_func_stats\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003efilter_callback\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-k\"\u003elambda\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ex\u003c/span\u003e: \u003cspan class=\"pl-s\"\u003e'a'\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003ein\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003ex\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003ename\u003c/span\u003e\n ).\u003cspan class=\"pl-c1\"\u003eprint_all\u003c/span\u003e()\n\u003cspan class=\"pl-s\"\u003e'''\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003ename ncall tsub ttot tavg\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003edoc2.py:6 a 1 0.000001 0.000001 0.000001\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003epackage_a/__init__.py:1 a 1 0.000001 0.000001 0.000001\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e'''\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eProfile an asyncio application:\u003c/h3\u003e\u003ca id=\"user-content-profile-an-asyncio-application\" class=\"anchor\" aria-label=\"Permalink: Profile an asyncio application:\" href=\"#profile-an-asyncio-application\"\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\"\u003eYou can see that coroutine wall-time's are correctly profiled.\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"import asyncio\nimport yappi\n\nasync def foo():\n await asyncio.sleep(1.0)\n await baz()\n await asyncio.sleep(0.5)\n\nasync def bar():\n await asyncio.sleep(2.0)\n\nasync def baz():\n await asyncio.sleep(1.0)\n\nyappi.set_clock_type(\u0026quot;WALL\u0026quot;)\nwith yappi.run():\n asyncio.run(foo())\n asyncio.run(bar())\nyappi.get_func_stats().print_all()\n'''\nClock type: WALL\nOrdered by: totaltime, desc\n\nname ncall tsub ttot tavg \ndoc4.py:5 foo 1 0.000030 2.503808 2.503808\ndoc4.py:11 bar 1 0.000012 2.002492 2.002492\ndoc4.py:15 baz 1 0.000013 1.001397 1.001397\n'''\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003easyncio\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e\n\n\u003cspan class=\"pl-k\"\u003easync\u003c/span\u003e \u003cspan class=\"pl-k\"\u003edef\u003c/span\u003e \u003cspan class=\"pl-en\"\u003efoo\u003c/span\u003e():\n \u003cspan class=\"pl-k\"\u003eawait\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003easyncio\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003esleep\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003e1.0\u003c/span\u003e)\n \u003cspan class=\"pl-k\"\u003eawait\u003c/span\u003e \u003cspan class=\"pl-en\"\u003ebaz\u003c/span\u003e()\n \u003cspan class=\"pl-k\"\u003eawait\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003easyncio\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003esleep\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003e0.5\u003c/span\u003e)\n\n\u003cspan class=\"pl-k\"\u003easync\u003c/span\u003e \u003cspan class=\"pl-k\"\u003edef\u003c/span\u003e \u003cspan class=\"pl-en\"\u003ebar\u003c/span\u003e():\n \u003cspan class=\"pl-k\"\u003eawait\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003easyncio\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003esleep\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003e2.0\u003c/span\u003e)\n\n\u003cspan class=\"pl-k\"\u003easync\u003c/span\u003e \u003cspan class=\"pl-k\"\u003edef\u003c/span\u003e \u003cspan class=\"pl-en\"\u003ebaz\u003c/span\u003e():\n \u003cspan class=\"pl-k\"\u003eawait\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003easyncio\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003esleep\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003e1.0\u003c/span\u003e)\n\n\u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eset_clock_type\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\"WALL\"\u003c/span\u003e)\n\u003cspan class=\"pl-k\"\u003ewith\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003erun\u003c/span\u003e():\n \u003cspan class=\"pl-s1\"\u003easyncio\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003erun\u003c/span\u003e(\u003cspan class=\"pl-en\"\u003efoo\u003c/span\u003e())\n \u003cspan class=\"pl-s1\"\u003easyncio\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003erun\u003c/span\u003e(\u003cspan class=\"pl-en\"\u003ebar\u003c/span\u003e())\n\u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eget_func_stats\u003c/span\u003e().\u003cspan class=\"pl-c1\"\u003eprint_all\u003c/span\u003e()\n\u003cspan class=\"pl-s\"\u003e'''\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003eClock type: WALL\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003eOrdered by: totaltime, desc\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003ename ncall tsub ttot tavg \u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003edoc4.py:5 foo 1 0.000030 2.503808 2.503808\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003edoc4.py:11 bar 1 0.000012 2.002492 2.002492\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003edoc4.py:15 baz 1 0.000013 1.001397 1.001397\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e'''\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eProfile a gevent application:\u003c/h3\u003e\u003ca id=\"user-content-profile-a-gevent-application\" class=\"anchor\" aria-label=\"Permalink: Profile a gevent application:\" href=\"#profile-a-gevent-application\"\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\"\u003eYou can use yappi to profile greenlet applications now!\u003c/p\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"import yappi\nfrom greenlet import greenlet\nimport time\n\nclass GreenletA(greenlet):\n def run(self):\n time.sleep(1)\n\nyappi.set_context_backend(\u0026quot;greenlet\u0026quot;)\nyappi.set_clock_type(\u0026quot;wall\u0026quot;)\n\nyappi.start(builtins=True)\na = GreenletA()\na.switch()\nyappi.stop()\n\nyappi.get_func_stats().print_all()\n'''\nname ncall tsub ttot tavg\ntests/test_random.py:6 GreenletA.run 1 0.000007 1.000494 1.000494\ntime.sleep 1 1.000487 1.000487 1.000487\n'''\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003efrom\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003egreenlet\u003c/span\u003e \u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003egreenlet\u003c/span\u003e\n\u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003etime\u003c/span\u003e\n\n\u003cspan class=\"pl-k\"\u003eclass\u003c/span\u003e \u003cspan class=\"pl-v\"\u003eGreenletA\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003egreenlet\u003c/span\u003e):\n \u003cspan class=\"pl-k\"\u003edef\u003c/span\u003e \u003cspan class=\"pl-en\"\u003erun\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003eself\u003c/span\u003e):\n \u003cspan class=\"pl-s1\"\u003etime\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003esleep\u003c/span\u003e(\u003cspan class=\"pl-c1\"\u003e1\u003c/span\u003e)\n\n\u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eset_context_backend\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\"greenlet\"\u003c/span\u003e)\n\u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eset_clock_type\u003c/span\u003e(\u003cspan class=\"pl-s\"\u003e\"wall\"\u003c/span\u003e)\n\n\u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003estart\u003c/span\u003e(\u003cspan class=\"pl-s1\"\u003ebuiltins\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e\u003cspan class=\"pl-c1\"\u003eTrue\u003c/span\u003e)\n\u003cspan class=\"pl-s1\"\u003ea\u003c/span\u003e \u003cspan class=\"pl-c1\"\u003e=\u003c/span\u003e \u003cspan class=\"pl-en\"\u003eGreenletA\u003c/span\u003e()\n\u003cspan class=\"pl-s1\"\u003ea\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eswitch\u003c/span\u003e()\n\u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003estop\u003c/span\u003e()\n\n\u003cspan class=\"pl-s1\"\u003eyappi\u003c/span\u003e.\u003cspan class=\"pl-c1\"\u003eget_func_stats\u003c/span\u003e().\u003cspan class=\"pl-c1\"\u003eprint_all\u003c/span\u003e()\n\u003cspan class=\"pl-s\"\u003e'''\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003ename ncall tsub ttot tavg\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003etests/test_random.py:6 GreenletA.run 1 0.000007 1.000494 1.000494\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003etime.sleep 1 1.000487 1.000487 1.000487\u003c/span\u003e\n\u003cspan class=\"pl-s\"\u003e'''\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eDocumentation\u003c/h2\u003e\u003ca id=\"user-content-documentation\" class=\"anchor\" aria-label=\"Permalink: Documentation\" href=\"#documentation\"\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\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/sumerc/yappi/blob/master/doc/introduction.md\"\u003eIntroduction\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/sumerc/yappi/blob/master/doc/clock_types.md\"\u003eClock Types\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/sumerc/yappi/blob/master/doc/api.md\"\u003eAPI\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/sumerc/yappi/blob/master/doc/coroutine-profiling.md\"\u003eCoroutine Profiling\u003c/a\u003e \u003cem\u003e(new in 1.2)\u003c/em\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/sumerc/yappi/blob/master/doc/greenlet-profiling.md\"\u003eGreenlet Profiling\u003c/a\u003e \u003cem\u003e(new in 1.3)\u003c/em\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003eNote: Yes. I know I should be moving docs to readthedocs.io. Stay tuned!\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eRelated Talks\u003c/h2\u003e\u003ca id=\"user-content-related-talks\" class=\"anchor\" aria-label=\"Permalink: Related Talks\" href=\"#related-talks\"\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\"\u003eSpecial thanks to A.Jesse Jiryu Davis:\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\u003ca href=\"https://www.youtube.com/watch?v=4uJWWXYHxaM\" rel=\"nofollow\"\u003ePython Performance Profiling: The Guts And The Glory (PyCon 2015)\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003ePyCharm Integration\u003c/h2\u003e\u003ca id=\"user-content-pycharm-integration\" class=\"anchor\" aria-label=\"Permalink: PyCharm Integration\" href=\"#pycharm-integration\"\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\"\u003eYappi is the default profiler in \u003ccode\u003ePyCharm\u003c/code\u003e. If you have Yappi installed, \u003ccode\u003ePyCharm\u003c/code\u003e will use it. See \u003ca href=\"https://www.jetbrains.com/help/pycharm/profiler.html\" rel=\"nofollow\"\u003ethe official\u003c/a\u003e documentation for more details.\u003c/p\u003e\n\u003c/article\u003e","loaded":true,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":[{"level":1,"text":"Yappi","anchor":"yappi","htmlText":"Yappi"},{"level":2,"text":"Highlights","anchor":"highlights","htmlText":"Highlights"},{"level":2,"text":"Motivation","anchor":"motivation","htmlText":"Motivation"},{"level":2,"text":"Installation","anchor":"installation","htmlText":"Installation"},{"level":2,"text":"Examples","anchor":"examples","htmlText":"Examples"},{"level":3,"text":"A simple example:","anchor":"a-simple-example","htmlText":"A simple example:"},{"level":3,"text":"Profile a multithreaded application:","anchor":"profile-a-multithreaded-application","htmlText":"Profile a multithreaded application:"},{"level":3,"text":"Different ways to filter/sort 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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 undefined" data-hpc="true"><article class="markdown-body entry-content container-lg" itemprop="text"><p align="center" dir="auto"> <a target="_blank" rel="noopener noreferrer nofollow" href="https://raw.githubusercontent.com/sumerc/yappi/master/Misc/logo.png"><img src="https://raw.githubusercontent.com/sumerc/yappi/master/Misc/logo.png" alt="yappi" style="max-width: 100%;"></a> </p> <div class="markdown-heading" dir="auto"><h1 align="center" tabindex="-1" class="heading-element" dir="auto">Yappi</h1><a id="user-content-yappi" class="anchor" aria-label="Permalink: Yappi" href="#yappi"><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 align="center" dir="auto"> A tracing profiler that is <b>multithreading, asyncio and gevent</b> aware. </p> <p dir="auto"><a href="https://freepalestine.dev" rel="nofollow"><img src="https://camo.githubusercontent.com/7d3e0c85842b8982576517fff47dc995af7e9adced5c1726ee4f4480e94edaa6/68747470733a2f2f6672656570616c657374696e652e6465762f6865616465722f31" alt="FreePalestine.Dev" data-canonical-src="https://freepalestine.dev/header/1" style="max-width: 100%;"></a></p> <p align="center" dir="auto"> <a href="https://github.com/sumerc/yappi/actions/workflows/main.yml"><img src="https://github.com/sumerc/yappi/workflows/CI/badge.svg?branch=master" style="max-width: 100%;"></a> <a href="https://pypi.org/project/yappi/" rel="nofollow"><img src="https://camo.githubusercontent.com/d4ab1087154428f91669127be87eca195236b7a41b13245a638c76ee8c91d650/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f79617070692e737667" data-canonical-src="https://img.shields.io/pypi/v/yappi.svg" style="max-width: 100%;"></a> <a href="https://pypi.org/project/yappi/" rel="nofollow"><img src="https://camo.githubusercontent.com/5ba2ef331490e12a3f7cbccfd18254290f8acbf1fc163778e4ed88d8228a4d31/68747470733a2f2f696d672e736869656c64732e696f2f707970692f64772f79617070692e737667" data-canonical-src="https://img.shields.io/pypi/dw/yappi.svg" style="max-width: 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src="https://camo.githubusercontent.com/9ee3ae56ed6f67fb2bf0bc47275c72875ea0e8c25485cc9e5c01dd6e13162388/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f6c6963656e73652f73756d6572632f79617070692e737667" data-canonical-src="https://img.shields.io/github/license/sumerc/yappi.svg" style="max-width: 100%;"></a> <a href="https://freepalestine.dev" rel="nofollow"><img src="https://camo.githubusercontent.com/cd913501028a923f36c47c373bd4454d4c06c3801516f188ac9bfb0a6a3d26bf/68747470733a2f2f6672656570616c657374696e652e6465762f62616467653f743d6426753d3026723d31" alt="From the river to the sea, Palestine will be free" data-canonical-src="https://freepalestine.dev/badge?t=d&u=0&r=1" style="max-width: 100%;"></a> </p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Highlights</h2><a id="user-content-highlights" class="anchor" aria-label="Permalink: Highlights" href="#highlights"><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><strong>Fast</strong>: Yappi is fast. It is completely written in C and lots of love and care went into making it fast.</li> <li><strong>Unique</strong>: Yappi supports multithreaded, <a href="https://github.com/sumerc/yappi/blob/master/doc/coroutine-profiling.md">asyncio</a> and <a href="https://github.com/sumerc/yappi/blob/master/doc/greenlet-profiling.md">gevent</a> profiling. Tagging/filtering multiple profiler results has interesting <a href="https://github.com/sumerc/yappi/blob/master/doc/api.md#set_tag_callback">use cases</a>.</li> <li><strong>Intuitive</strong>: Profiler can be started/stopped and results can be obtained from any time and any thread.</li> <li><strong>Standards Compliant</strong>: Profiler results can be saved in <a href="http://valgrind.org/docs/manual/cl-format.html" rel="nofollow">callgrind</a> or <a href="http://docs.python.org/3.4/library/profile.html#pstats.Stats" rel="nofollow">pstat</a> formats.</li> <li><strong>Rich in Feature set</strong>: Profiler results can show either <a href="https://en.wikipedia.org/wiki/Elapsed_real_time" rel="nofollow">Wall Time</a> or actual <a href="http://en.wikipedia.org/wiki/CPU_time" rel="nofollow">CPU Time</a> and can be aggregated from different sessions. Various flags are defined for filtering and sorting profiler results.</li> <li><strong>Robust</strong>: Yappi has been around for years.</li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Motivation</h2><a id="user-content-motivation" class="anchor" aria-label="Permalink: Motivation" href="#motivation"><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">CPython standard distribution comes with three deterministic profilers. <code>cProfile</code>, <code>Profile</code> and <code>hotshot</code>. <code>cProfile</code> is implemented as a C module based on <code>lsprof</code>, <code>Profile</code> is in pure Python and <code>hotshot</code> can be seen as a small subset of a cProfile. The major issue is that all of these profilers lack support for multi-threaded programs and CPU time.</p> <p dir="auto">If you want to profile a multi-threaded application, you must give an entry point to these profilers and then maybe merge the outputs. None of these profilers are designed to work on long-running multi-threaded applications. It is also not possible to profile an application that start/stop/retrieve traces on the fly with these profilers.</p> <p dir="auto">Now fast forwarding to 2019: With the latest improvements on <code>asyncio</code> library and asynchronous frameworks, most of the current profilers lacks the ability to show correct wall/cpu time or even call count information per-coroutine. Thus we need a different kind of approach to profile asynchronous code. Yappi, with v1.2 introduces the concept of <code>coroutine profiling</code>. With <code>coroutine-profiling</code>, you should be able to profile correct wall/cpu time and call count of your coroutine. (including the time spent in context switches, too). You can see details <a href="https://github.com/sumerc/yappi/blob/master/doc/coroutine-profiling.md">here</a>.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Installation</h2><a id="user-content-installation" class="anchor" aria-label="Permalink: Installation" href="#installation"><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">Can be installed via PyPI</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="$ pip install yappi"><pre class="notranslate"><code>$ pip install yappi </code></pre></div> <p dir="auto">OR from the source directly.</p> <div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="$ pip install git+https://github.com/sumerc/yappi#egg=yappi"><pre class="notranslate"><code>$ pip install git+https://github.com/sumerc/yappi#egg=yappi </code></pre></div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Examples</h2><a id="user-content-examples" class="anchor" aria-label="Permalink: Examples" href="#examples"><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">A simple example:</h3><a id="user-content-a-simple-example" class="anchor" aria-label="Permalink: A simple example:" href="#a-simple-example"><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-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="import yappi def a(): for _ in range(10000000): # do something CPU heavy pass yappi.set_clock_type("cpu") # Use set_clock_type("wall") for wall time yappi.start() a() yappi.get_func_stats().print_all() yappi.get_thread_stats().print_all() ''' Clock type: CPU Ordered by: totaltime, desc name ncall tsub ttot tavg doc.py:5 a 1 0.117907 0.117907 0.117907 name id tid ttot scnt _MainThread 0 139867147315008 0.118297 1 '''"><pre><span class="pl-k">import</span> <span class="pl-s1">yappi</span> <span class="pl-k">def</span> <span class="pl-en">a</span>(): <span class="pl-k">for</span> <span class="pl-s1">_</span> <span class="pl-c1">in</span> <span class="pl-en">range</span>(<span class="pl-c1">10000000</span>): <span class="pl-c"># do something CPU heavy</span> <span class="pl-k">pass</span> <span class="pl-s1">yappi</span>.<span class="pl-c1">set_clock_type</span>(<span class="pl-s">"cpu"</span>) <span class="pl-c"># Use set_clock_type("wall") for wall time</span> <span class="pl-s1">yappi</span>.<span class="pl-c1">start</span>() <span class="pl-en">a</span>() <span class="pl-s1">yappi</span>.<span class="pl-c1">get_func_stats</span>().<span class="pl-c1">print_all</span>() <span class="pl-s1">yappi</span>.<span class="pl-c1">get_thread_stats</span>().<span class="pl-c1">print_all</span>() <span class="pl-s">'''</span> <span class="pl-s"></span> <span class="pl-s">Clock type: CPU</span> <span class="pl-s">Ordered by: totaltime, desc</span> <span class="pl-s"></span> <span class="pl-s">name ncall tsub ttot tavg </span> <span class="pl-s">doc.py:5 a 1 0.117907 0.117907 0.117907</span> <span class="pl-s"></span> <span class="pl-s">name id tid ttot scnt </span> <span class="pl-s">_MainThread 0 139867147315008 0.118297 1</span> <span class="pl-s">'''</span></pre></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Profile a multithreaded application:</h3><a id="user-content-profile-a-multithreaded-application" class="anchor" aria-label="Permalink: Profile a multithreaded application:" href="#profile-a-multithreaded-application"><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">You can profile a multithreaded application via Yappi and can easily retrieve per-thread profile information by filtering on <code>ctx_id</code> with <code>get_func_stats</code> API.</p> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="import yappi import time import threading _NTHREAD = 3 def _work(n): time.sleep(n * 0.1) yappi.start() threads = [] # generate _NTHREAD threads for i in range(_NTHREAD): t = threading.Thread(target=_work, args=(i + 1, )) t.start() threads.append(t) # wait all threads to finish for t in threads: t.join() yappi.stop() # retrieve thread stats by their thread id (given by yappi) threads = yappi.get_thread_stats() for thread in threads: print( "Function stats for (%s) (%d)" % (thread.name, thread.id) ) # it is the Thread.__class__.__name__ yappi.get_func_stats(ctx_id=thread.id).print_all() ''' Function stats for (Thread) (3) name ncall tsub ttot tavg ..hon3.7/threading.py:859 Thread.run 1 0.000017 0.000062 0.000062 doc3.py:8 _work 1 0.000012 0.000045 0.000045 Function stats for (Thread) (2) name ncall tsub ttot tavg ..hon3.7/threading.py:859 Thread.run 1 0.000017 0.000065 0.000065 doc3.py:8 _work 1 0.000010 0.000048 0.000048 Function stats for (Thread) (1) name ncall tsub ttot tavg ..hon3.7/threading.py:859 Thread.run 1 0.000010 0.000043 0.000043 doc3.py:8 _work 1 0.000006 0.000033 0.000033 '''"><pre><span class="pl-k">import</span> <span class="pl-s1">yappi</span> <span class="pl-k">import</span> <span class="pl-s1">time</span> <span class="pl-k">import</span> <span class="pl-s1">threading</span> <span class="pl-s1">_NTHREAD</span> <span class="pl-c1">=</span> <span class="pl-c1">3</span> <span class="pl-k">def</span> <span class="pl-en">_work</span>(<span class="pl-s1">n</span>): <span class="pl-s1">time</span>.<span class="pl-c1">sleep</span>(<span class="pl-s1">n</span> <span class="pl-c1">*</span> <span class="pl-c1">0.1</span>) <span class="pl-s1">yappi</span>.<span class="pl-c1">start</span>() <span class="pl-s1">threads</span> <span class="pl-c1">=</span> [] <span class="pl-c"># generate _NTHREAD threads</span> <span class="pl-k">for</span> <span class="pl-s1">i</span> <span class="pl-c1">in</span> <span class="pl-en">range</span>(<span class="pl-s1">_NTHREAD</span>): <span class="pl-s1">t</span> <span class="pl-c1">=</span> <span class="pl-s1">threading</span>.<span class="pl-c1">Thread</span>(<span class="pl-s1">target</span><span class="pl-c1">=</span><span class="pl-s1">_work</span>, <span class="pl-s1">args</span><span class="pl-c1">=</span>(<span class="pl-s1">i</span> <span class="pl-c1">+</span> <span class="pl-c1">1</span>, )) <span class="pl-s1">t</span>.<span class="pl-c1">start</span>() <span class="pl-s1">threads</span>.<span class="pl-c1">append</span>(<span class="pl-s1">t</span>) <span class="pl-c"># wait all threads to finish</span> <span class="pl-k">for</span> <span class="pl-s1">t</span> <span class="pl-c1">in</span> <span class="pl-s1">threads</span>: <span class="pl-s1">t</span>.<span class="pl-c1">join</span>() <span class="pl-s1">yappi</span>.<span class="pl-c1">stop</span>() <span class="pl-c"># retrieve thread stats by their thread id (given by yappi)</span> <span class="pl-s1">threads</span> <span class="pl-c1">=</span> <span class="pl-s1">yappi</span>.<span class="pl-c1">get_thread_stats</span>() <span class="pl-k">for</span> <span class="pl-s1">thread</span> <span class="pl-c1">in</span> <span class="pl-s1">threads</span>: <span class="pl-en">print</span>( <span class="pl-s">"Function stats for (%s) (%d)"</span> <span class="pl-c1">%</span> (<span class="pl-s1">thread</span>.<span class="pl-c1">name</span>, <span class="pl-s1">thread</span>.<span class="pl-c1">id</span>) ) <span class="pl-c"># it is the Thread.__class__.__name__</span> <span class="pl-s1">yappi</span>.<span class="pl-c1">get_func_stats</span>(<span class="pl-s1">ctx_id</span><span class="pl-c1">=</span><span class="pl-s1">thread</span>.<span class="pl-c1">id</span>).<span class="pl-c1">print_all</span>() <span class="pl-s">'''</span> <span class="pl-s">Function stats for (Thread) (3)</span> <span class="pl-s"></span> <span class="pl-s">name ncall tsub ttot tavg</span> <span class="pl-s">..hon3.7/threading.py:859 Thread.run 1 0.000017 0.000062 0.000062</span> <span class="pl-s">doc3.py:8 _work 1 0.000012 0.000045 0.000045</span> <span class="pl-s"></span> <span class="pl-s">Function stats for (Thread) (2)</span> <span class="pl-s"></span> <span class="pl-s">name ncall tsub ttot tavg</span> <span class="pl-s">..hon3.7/threading.py:859 Thread.run 1 0.000017 0.000065 0.000065</span> <span class="pl-s">doc3.py:8 _work 1 0.000010 0.000048 0.000048</span> <span class="pl-s"></span> <span class="pl-s"></span> <span class="pl-s">Function stats for (Thread) (1)</span> <span class="pl-s"></span> <span class="pl-s">name ncall tsub ttot tavg</span> <span class="pl-s">..hon3.7/threading.py:859 Thread.run 1 0.000010 0.000043 0.000043</span> <span class="pl-s">doc3.py:8 _work 1 0.000006 0.000033 0.000033</span> <span class="pl-s">'''</span></pre></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Different ways to filter/sort stats:</h3><a id="user-content-different-ways-to-filtersort-stats" class="anchor" aria-label="Permalink: Different ways to filter/sort stats:" href="#different-ways-to-filtersort-stats"><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">You can use <code>filter_callback</code> on <code>get_func_stats</code> API to filter on functions, modules or whatever available in <code>YFuncStat</code> object.</p> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="import package_a import yappi import sys def a(): pass def b(): pass yappi.start() a() b() package_a.a() yappi.stop() # filter by module object current_module = sys.modules[__name__] stats = yappi.get_func_stats( filter_callback=lambda x: yappi.module_matches(x, [current_module]) ) # x is a yappi.YFuncStat object stats.sort("name", "desc").print_all() ''' Clock type: CPU Ordered by: name, desc name ncall tsub ttot tavg doc2.py:10 b 1 0.000001 0.000001 0.000001 doc2.py:6 a 1 0.000001 0.000001 0.000001 ''' # filter by function object stats = yappi.get_func_stats( filter_callback=lambda x: yappi.func_matches(x, [a, b]) ).print_all() ''' name ncall tsub ttot tavg doc2.py:6 a 1 0.000001 0.000001 0.000001 doc2.py:10 b 1 0.000001 0.000001 0.000001 ''' # filter by module name stats = yappi.get_func_stats(filter_callback=lambda x: 'package_a' in x.module ).print_all() ''' name ncall tsub ttot tavg package_a/__init__.py:1 a 1 0.000001 0.000001 0.000001 ''' # filter by function name stats = yappi.get_func_stats(filter_callback=lambda x: 'a' in x.name ).print_all() ''' name ncall tsub ttot tavg doc2.py:6 a 1 0.000001 0.000001 0.000001 package_a/__init__.py:1 a 1 0.000001 0.000001 0.000001 '''"><pre><span class="pl-k">import</span> <span class="pl-s1">package_a</span> <span class="pl-k">import</span> <span class="pl-s1">yappi</span> <span class="pl-k">import</span> <span class="pl-s1">sys</span> <span class="pl-k">def</span> <span class="pl-en">a</span>(): <span class="pl-k">pass</span> <span class="pl-k">def</span> <span class="pl-en">b</span>(): <span class="pl-k">pass</span> <span class="pl-s1">yappi</span>.<span class="pl-c1">start</span>() <span class="pl-en">a</span>() <span class="pl-en">b</span>() <span class="pl-s1">package_a</span>.<span class="pl-c1">a</span>() <span class="pl-s1">yappi</span>.<span class="pl-c1">stop</span>() <span class="pl-c"># filter by module object</span> <span class="pl-s1">current_module</span> <span class="pl-c1">=</span> <span class="pl-s1">sys</span>.<span class="pl-c1">modules</span>[<span class="pl-s1">__name__</span>] <span class="pl-s1">stats</span> <span class="pl-c1">=</span> <span class="pl-s1">yappi</span>.<span class="pl-c1">get_func_stats</span>( <span class="pl-s1">filter_callback</span><span class="pl-c1">=</span><span class="pl-k">lambda</span> <span class="pl-s1">x</span>: <span class="pl-s1">yappi</span>.<span class="pl-c1">module_matches</span>(<span class="pl-s1">x</span>, [<span class="pl-s1">current_module</span>]) ) <span class="pl-c"># x is a yappi.YFuncStat object</span> <span class="pl-s1">stats</span>.<span class="pl-c1">sort</span>(<span class="pl-s">"name"</span>, <span class="pl-s">"desc"</span>).<span class="pl-c1">print_all</span>() <span class="pl-s">'''</span> <span class="pl-s">Clock type: CPU</span> <span class="pl-s">Ordered by: name, desc</span> <span class="pl-s"></span> <span class="pl-s">name ncall tsub ttot tavg</span> <span class="pl-s">doc2.py:10 b 1 0.000001 0.000001 0.000001</span> <span class="pl-s">doc2.py:6 a 1 0.000001 0.000001 0.000001</span> <span class="pl-s">'''</span> <span class="pl-c"># filter by function object</span> <span class="pl-s1">stats</span> <span class="pl-c1">=</span> <span class="pl-s1">yappi</span>.<span class="pl-c1">get_func_stats</span>( <span class="pl-s1">filter_callback</span><span class="pl-c1">=</span><span class="pl-k">lambda</span> <span class="pl-s1">x</span>: <span class="pl-s1">yappi</span>.<span class="pl-c1">func_matches</span>(<span class="pl-s1">x</span>, [<span class="pl-s1">a</span>, <span class="pl-s1">b</span>]) ).<span class="pl-c1">print_all</span>() <span class="pl-s">'''</span> <span class="pl-s">name ncall tsub ttot tavg</span> <span class="pl-s">doc2.py:6 a 1 0.000001 0.000001 0.000001</span> <span class="pl-s">doc2.py:10 b 1 0.000001 0.000001 0.000001</span> <span class="pl-s">'''</span> <span class="pl-c"># filter by module name</span> <span class="pl-s1">stats</span> <span class="pl-c1">=</span> <span class="pl-s1">yappi</span>.<span class="pl-c1">get_func_stats</span>(<span class="pl-s1">filter_callback</span><span class="pl-c1">=</span><span class="pl-k">lambda</span> <span class="pl-s1">x</span>: <span class="pl-s">'package_a'</span> <span class="pl-c1">in</span> <span class="pl-s1">x</span>.<span class="pl-c1">module</span> ).<span class="pl-c1">print_all</span>() <span class="pl-s">'''</span> <span class="pl-s">name ncall tsub ttot tavg</span> <span class="pl-s">package_a/__init__.py:1 a 1 0.000001 0.000001 0.000001</span> <span class="pl-s">'''</span> <span class="pl-c"># filter by function name</span> <span class="pl-s1">stats</span> <span class="pl-c1">=</span> <span class="pl-s1">yappi</span>.<span class="pl-c1">get_func_stats</span>(<span class="pl-s1">filter_callback</span><span class="pl-c1">=</span><span class="pl-k">lambda</span> <span class="pl-s1">x</span>: <span class="pl-s">'a'</span> <span class="pl-c1">in</span> <span class="pl-s1">x</span>.<span class="pl-c1">name</span> ).<span class="pl-c1">print_all</span>() <span class="pl-s">'''</span> <span class="pl-s">name ncall tsub ttot tavg</span> <span class="pl-s">doc2.py:6 a 1 0.000001 0.000001 0.000001</span> <span class="pl-s">package_a/__init__.py:1 a 1 0.000001 0.000001 0.000001</span> <span class="pl-s">'''</span></pre></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Profile an asyncio application:</h3><a id="user-content-profile-an-asyncio-application" class="anchor" aria-label="Permalink: Profile an asyncio application:" href="#profile-an-asyncio-application"><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">You can see that coroutine wall-time's are correctly profiled.</p> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="import asyncio import yappi async def foo(): await asyncio.sleep(1.0) await baz() await asyncio.sleep(0.5) async def bar(): await asyncio.sleep(2.0) async def baz(): await asyncio.sleep(1.0) yappi.set_clock_type("WALL") with yappi.run(): asyncio.run(foo()) asyncio.run(bar()) yappi.get_func_stats().print_all() ''' Clock type: WALL Ordered by: totaltime, desc name ncall tsub ttot tavg doc4.py:5 foo 1 0.000030 2.503808 2.503808 doc4.py:11 bar 1 0.000012 2.002492 2.002492 doc4.py:15 baz 1 0.000013 1.001397 1.001397 '''"><pre><span class="pl-k">import</span> <span class="pl-s1">asyncio</span> <span class="pl-k">import</span> <span class="pl-s1">yappi</span> <span class="pl-k">async</span> <span class="pl-k">def</span> <span class="pl-en">foo</span>(): <span class="pl-k">await</span> <span class="pl-s1">asyncio</span>.<span class="pl-c1">sleep</span>(<span class="pl-c1">1.0</span>) <span class="pl-k">await</span> <span class="pl-en">baz</span>() <span class="pl-k">await</span> <span class="pl-s1">asyncio</span>.<span class="pl-c1">sleep</span>(<span class="pl-c1">0.5</span>) <span class="pl-k">async</span> <span class="pl-k">def</span> <span class="pl-en">bar</span>(): <span class="pl-k">await</span> <span class="pl-s1">asyncio</span>.<span class="pl-c1">sleep</span>(<span class="pl-c1">2.0</span>) <span class="pl-k">async</span> <span class="pl-k">def</span> <span class="pl-en">baz</span>(): <span class="pl-k">await</span> <span class="pl-s1">asyncio</span>.<span class="pl-c1">sleep</span>(<span class="pl-c1">1.0</span>) <span class="pl-s1">yappi</span>.<span class="pl-c1">set_clock_type</span>(<span class="pl-s">"WALL"</span>) <span class="pl-k">with</span> <span class="pl-s1">yappi</span>.<span class="pl-c1">run</span>(): <span class="pl-s1">asyncio</span>.<span class="pl-c1">run</span>(<span class="pl-en">foo</span>()) <span class="pl-s1">asyncio</span>.<span class="pl-c1">run</span>(<span class="pl-en">bar</span>()) <span class="pl-s1">yappi</span>.<span class="pl-c1">get_func_stats</span>().<span class="pl-c1">print_all</span>() <span class="pl-s">'''</span> <span class="pl-s">Clock type: WALL</span> <span class="pl-s">Ordered by: totaltime, desc</span> <span class="pl-s"></span> <span class="pl-s">name ncall tsub ttot tavg </span> <span class="pl-s">doc4.py:5 foo 1 0.000030 2.503808 2.503808</span> <span class="pl-s">doc4.py:11 bar 1 0.000012 2.002492 2.002492</span> <span class="pl-s">doc4.py:15 baz 1 0.000013 1.001397 1.001397</span> <span class="pl-s">'''</span></pre></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">Profile a gevent application:</h3><a id="user-content-profile-a-gevent-application" class="anchor" aria-label="Permalink: Profile a gevent application:" href="#profile-a-gevent-application"><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">You can use yappi to profile greenlet applications now!</p> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="import yappi from greenlet import greenlet import time class GreenletA(greenlet): def run(self): time.sleep(1) yappi.set_context_backend("greenlet") yappi.set_clock_type("wall") yappi.start(builtins=True) a = GreenletA() a.switch() yappi.stop() yappi.get_func_stats().print_all() ''' name ncall tsub ttot tavg tests/test_random.py:6 GreenletA.run 1 0.000007 1.000494 1.000494 time.sleep 1 1.000487 1.000487 1.000487 '''"><pre><span class="pl-k">import</span> <span class="pl-s1">yappi</span> <span class="pl-k">from</span> <span class="pl-s1">greenlet</span> <span class="pl-k">import</span> <span class="pl-s1">greenlet</span> <span class="pl-k">import</span> <span class="pl-s1">time</span> <span class="pl-k">class</span> <span class="pl-v">GreenletA</span>(<span class="pl-s1">greenlet</span>): <span class="pl-k">def</span> <span class="pl-en">run</span>(<span class="pl-s1">self</span>): <span class="pl-s1">time</span>.<span class="pl-c1">sleep</span>(<span class="pl-c1">1</span>) <span class="pl-s1">yappi</span>.<span class="pl-c1">set_context_backend</span>(<span class="pl-s">"greenlet"</span>) <span class="pl-s1">yappi</span>.<span class="pl-c1">set_clock_type</span>(<span class="pl-s">"wall"</span>) <span class="pl-s1">yappi</span>.<span class="pl-c1">start</span>(<span class="pl-s1">builtins</span><span class="pl-c1">=</span><span class="pl-c1">True</span>) <span class="pl-s1">a</span> <span class="pl-c1">=</span> <span class="pl-en">GreenletA</span>() <span class="pl-s1">a</span>.<span class="pl-c1">switch</span>() <span class="pl-s1">yappi</span>.<span class="pl-c1">stop</span>() <span class="pl-s1">yappi</span>.<span class="pl-c1">get_func_stats</span>().<span class="pl-c1">print_all</span>() <span class="pl-s">'''</span> <span class="pl-s">name ncall tsub ttot tavg</span> <span class="pl-s">tests/test_random.py:6 GreenletA.run 1 0.000007 1.000494 1.000494</span> <span class="pl-s">time.sleep 1 1.000487 1.000487 1.000487</span> <span class="pl-s">'''</span></pre></div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Documentation</h2><a id="user-content-documentation" class="anchor" aria-label="Permalink: Documentation" href="#documentation"><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> <p dir="auto"><a href="https://github.com/sumerc/yappi/blob/master/doc/introduction.md">Introduction</a></p> </li> <li> <p dir="auto"><a href="https://github.com/sumerc/yappi/blob/master/doc/clock_types.md">Clock Types</a></p> </li> <li> <p dir="auto"><a href="https://github.com/sumerc/yappi/blob/master/doc/api.md">API</a></p> </li> <li> <p dir="auto"><a href="https://github.com/sumerc/yappi/blob/master/doc/coroutine-profiling.md">Coroutine Profiling</a> <em>(new in 1.2)</em></p> </li> <li> <p dir="auto"><a href="https://github.com/sumerc/yappi/blob/master/doc/greenlet-profiling.md">Greenlet Profiling</a> <em>(new in 1.3)</em></p> <p dir="auto">Note: Yes. I know I should be moving docs to readthedocs.io. Stay tuned!</p> </li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">Related Talks</h2><a id="user-content-related-talks" class="anchor" aria-label="Permalink: Related Talks" href="#related-talks"><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">Special thanks to A.Jesse Jiryu Davis:</p> <ul dir="auto"> <li><a href="https://www.youtube.com/watch?v=4uJWWXYHxaM" rel="nofollow">Python Performance Profiling: The Guts And The Glory (PyCon 2015)</a></li> </ul> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">PyCharm Integration</h2><a id="user-content-pycharm-integration" class="anchor" aria-label="Permalink: PyCharm Integration" href="#pycharm-integration"><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">Yappi is the default profiler in <code>PyCharm</code>. If you have Yappi installed, <code>PyCharm</code> will use it. See <a href="https://www.jetbrains.com/help/pycharm/profiler.html" rel="nofollow">the official</a> documentation for more details.</p> </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" value="rnqTfeesD19142marNzIMq4b9GC2uM1TdInSx3BtVfiqslK+3iR272VMl711GyyNfCEOO1Te7RMew85nORml+w==" /> </div> <div data-view-component="true" class="Layout-sidebar"> <div class="BorderGrid about-margin" data-pjax> <div class="BorderGrid-row"> <div class="BorderGrid-cell"> <div class="hide-sm hide-md"> <h2 class="mb-3 h4">About</h2> <p class="f4 my-3"> Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware. </p> <h3 class="sr-only">Topics</h3> <div class="my-3"> <div class="f6"> <a href="/topics/python" title="Topic: python" data-view-component="true" class="topic-tag topic-tag-link"> python </a> <a href="/topics/profile" title="Topic: profile" data-view-component="true" class="topic-tag topic-tag-link"> profile </a> <a href="/topics/performance" title="Topic: performance" data-view-component="true" class="topic-tag topic-tag-link"> performance </a> <a href="/topics/cpu" title="Topic: cpu" data-view-component="true" class="topic-tag topic-tag-link"> cpu </a> <a href="/topics/asynchronous" title="Topic: asynchronous" data-view-component="true" class="topic-tag topic-tag-link"> asynchronous </a> <a href="/topics/thread" title="Topic: thread" data-view-component="true" class="topic-tag topic-tag-link"> thread </a> <a href="/topics/multithreading" title="Topic: multithreading" data-view-component="true" class="topic-tag topic-tag-link"> multithreading </a> <a href="/topics/greenlet" title="Topic: greenlet" data-view-component="true" class="topic-tag topic-tag-link"> greenlet </a> <a href="/topics/multi-threaded-applications" title="Topic: multi-threaded-applications" data-view-component="true" class="topic-tag topic-tag-link"> multi-threaded-applications </a> <a href="/topics/asyncio" title="Topic: asyncio" data-view-component="true" class="topic-tag topic-tag-link"> asyncio </a> <a href="/topics/gevent" title="Topic: gevent" data-view-component="true" class="topic-tag topic-tag-link"> gevent </a> <a href="/topics/coroutine" title="Topic: coroutine" data-view-component="true" class="topic-tag topic-tag-link"> coroutine </a> <a href="/topics/asgi" title="Topic: asgi" data-view-component="true" class="topic-tag topic-tag-link"> asgi </a> <a href="/topics/profilers" title="Topic: profilers" data-view-component="true" class="topic-tag topic-tag-link"> profilers </a> </div> </div> <h3 class="sr-only">Resources</h3> <div class="mt-2"> <a class="Link--muted" data-analytics-event="{"category":"Repository Overview","action":"click","label":"location:sidebar;file:readme"}" href="#readme-ov-file"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" 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