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<!DOCTYPE html><html><head><meta charSet="UTF-8"/><meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1"/><title>Plotly Dash App Examples</title><meta name="title" content="Plotly Dash App Examples"/><meta name="description" content="Combined with Python, Plotly Dash delivers interactive, customizable data apps. Explore examples in a wide range of industries and advanced analytic needs."/><meta name="twitter:title" content="Plotly Dash App Examples"/><meta name="twitter:description" content="Combined with Python, Plotly Dash delivers interactive, customizable data apps. 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0 0 1px rgba(0, 0, 0, 0.05);--chakra-shadows-sm:0 1px 2px 0 rgba(0, 0, 0, 0.05);--chakra-shadows-base:0 1px 3px 0 rgba(0, 0, 0, 0.1),0 1px 2px 0 rgba(0, 0, 0, 0.06);--chakra-shadows-md:0 4px 6px -1px rgba(0, 0, 0, 0.1),0 2px 4px -1px rgba(0, 0, 0, 0.06);--chakra-shadows-lg:0 10px 15px -3px rgba(0, 0, 0, 0.1),0 4px 6px -2px rgba(0, 0, 0, 0.05);--chakra-shadows-xl:0 20px 25px -5px rgba(0, 0, 0, 0.1),0 10px 10px -5px rgba(0, 0, 0, 0.04);--chakra-shadows-2xl:0 25px 50px -12px rgba(0, 0, 0, 0.25);--chakra-shadows-outline:0 0 0 3px rgba(66, 153, 225, 0.6);--chakra-shadows-inner:inset 0 2px 4px 0 rgba(0,0,0,0.06);--chakra-shadows-none:none;--chakra-shadows-dark-lg:rgba(0, 0, 0, 0.1) 0px 0px 0px 1px,rgba(0, 0, 0, 0.2) 0px 5px 10px,rgba(0, 0, 0, 0.4) 0px 15px 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130 131 / 96%);--chakra-colors-pink:#fe2d6d;--chakra-colors-customGradient:linear-gradient(135deg, #7A76FF, #7A76FF, #7FE4FF);--chakra-colors-radialGradientPurple:radial-gradient(#A29FFF, transparent, transparent, transparent, transparent, transparent, transparent);--chakra-colors-radialGradientCyan:radial-gradient(#7FE4FF, transparent, transparent, transparent, transparent, transparent, transparent);--chakra-shadows-ctaButton:2px 1000px 1px #ffffff inset;--chakra-shadows-ctaButtonSecondary:2px 1000px 1px #f1fcfe inset;--chakra-shadows-ctaButtonHover:2px 1000px 1px #7A76FF inset;}.chakra-ui-dark :host:not([data-theme]),.chakra-ui-dark :root:not([data-theme]),.chakra-ui-dark [data-theme]:not([data-theme]),[data-theme=dark] :host:not([data-theme]),[data-theme=dark] :root:not([data-theme]),[data-theme=dark] 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1mloc4z">.css-1mloc4z{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:stretch;-webkit-box-align:stretch;-ms-flex-align:stretch;align-items:stretch;-webkit-box-pack:justify;-webkit-justify-content:space-between;justify-content:space-between;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:0.5rem;height:100%;}</style><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://biomedical.dev6.rightinformation.com/genomic-analysis"><style data-emotion="css dq96cv">.css-dq96cv{font-family:var(--chakra-fonts-heading);font-weight:var(--chakra-fontWeights-bold);cursor:pointer;font-size:18px;color:var(--chakra-colors-textPrimary);line-height:21px;}.css-dq96cv:hover,.css-dq96cv[data-hover]{color:#7A76FF;}</style><h2 class="chakra-heading css-dq96cv">AI-Based Gene Expression Profiling</h2></a><style data-emotion="css 9hqzp9">.css-9hqzp9{font-size:var(--chakra-fontSizes-md);color:var(--chakra-colors-bodyText);line-height:1.25;padding:2px 0;margin:0!important;}</style><p class="chakra-text css-9hqzp9">AI analysis of Thyroid cancer genes and bio-lab results.</p><a target="_blank" href="https://community.plotly.com/t/dash-chatgpt-app-challenge/75763/25"><style data-emotion="css 1vx18qg">.css-1vx18qg{cursor:pointer;text-transform:uppercase;color:#7A76FF;font-weight:600;font-size:11px;line-height:13px;letter-spacing:0.15em;}</style><p class="chakra-text css-1vx18qg">Learn More</p></a><style data-emotion="css 17ciwu4">.css-17ciwu4{width:100%;min-height:null;}</style><div class="css-17ciwu4"><style data-emotion="css 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34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 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9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://stocktistics.com/stocksaavy"><h2 class="chakra-heading css-dq96cv">Stock Savvy News App</h2></a><p class="chakra-text css-9hqzp9">Dash App with LangChain that answers questions about current stock market news for companies in S&P 500.</p><a target="_blank" href="https://community.plotly.com/t/dash-langchain-app-building-challenge/79663/8"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://community.plotly.com/u/troyscribner/summary"><p class="chakra-text css-1dyswoq">Troy Scribner</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/troyscribner/stocknews"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style 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9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://chatdocs.dkedar.com/"><h2 class="chakra-heading css-dq96cv">Knowledge-Base Explorer with AI</h2></a><p class="chakra-text css-9hqzp9">Use Dash with GPT4 to find answers from articles, websites, videos, and text.</p><a target="_blank" href="https://community.plotly.com/t/dash-chatgpt-app-challenge/75763/28"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://community.plotly.com/u/dkedar7/summary"><p class="chakra-text css-1dyswoq">Kedar Dabhadkar</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/dkedar7/embedchain-fastdash"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div></div><style data-emotion="css 1jasywb">.css-1jasywb{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-box-pack:end;-ms-flex-pack:end;-webkit-justify-content:flex-end;justify-content:flex-end;-webkit-flex-direction:column;-ms-flex-direction:column;flex-direction:column;gap:0.5rem;-webkit-align-content:center;-ms-flex-line-pack:center;align-content:center;width:100%;padding-top:var(--chakra-space-4);padding-bottom:var(--chakra-space-4);}</style><div class="chakra-stack css-1jasywb"><a target="_blank" rel="noopener noreferrer" href="/examples/generative-ai-chatgpt/"><style data-emotion="css b3ey0">.css-b3ey0{font-weight:600;font-size:14px;line-height:16px;letter-spacing:0.15em;text-transform:uppercase;color:#7A76FF;text-align:right;cursor:pointer;}</style><p class="chakra-text css-b3ey0">View All</p></a></div></section></div><div id="Connecting to APIs" class="css-0"><section class="css-79elbk"><div class="chakra-stack css-1e4h4ss"><a target="_blank" rel="noopener noreferrer" href="/examples/connecting-to-apis/"><h2 class="chakra-heading css-kjf8m6">Connecting to APIs</h2></a><p class="chakra-text css-xq3pvm">API integrations allow data exchange between multiple systems, keeping data in sync and enhancing productivity. Explore how to Dash enables connection to any API.</p></div><div class="css-11wsifs"><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 12382oc">.css-12382oc{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/0c67396b-da0f-4a09-9894-b9076c8003bd_APIs1+Satellite+Dashboard.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-12382oc"><a target="_blank" href="https://gallery.plotly.host/dash-daq-satellite-dashboard"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://gallery.plotly.host/dash-daq-satellite-dashboard"><h2 class="chakra-heading css-dq96cv">Satellite Dashboard</h2></a><p class="chakra-text css-9hqzp9">Track and monitor satellites in real-time.</p><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://plotly.com/contact-us/"><p class="chakra-text css-1dyswoq">Plotly</p></a></div></div><div class="css-4g6ai3"><a target="_blank" 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css-abcl1w" role="group"><style data-emotion="css 1dur7cr">.css-1dur7cr{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/61d23dc6-ddf6-45e0-9531-bef8ef558c06_APIs3+HERA+Radio+Telescope+and+Weather+App+.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-1dur7cr"><a target="_blank" href="https://heranow.reionization.org/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 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stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://dash.gallery/dash-medical-provider-charges/"><h2 class="chakra-heading css-dq96cv">Medical Provider Charges Dashboard</h2></a><p class="chakra-text css-9hqzp9">Explore medical provider charges across different states.</p><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://plotly.com/contact-us/"><p class="chakra-text css-1dyswoq">Plotly</p></a></div></div><div class="css-4g6ai3"><a target="_blank" 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css-1dyswoq">ITI</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/Mahmoud2227/IMDB-Dashboard"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 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target="_blank" href="https://community.plotly.com/u/dan_baker/summary"><p class="chakra-text css-1dyswoq">Dan Baker</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/danny-baker/atlas"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 1qpp4wy">.css-1qpp4wy{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/5422560b-f0d9-4a58-9c58-4971805f2cd7_Geo2+CBE+Clima+Visualization+App.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-1qpp4wy"><a target="_blank" href="https://clima.cbe.berkeley.edu/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://clima.cbe.berkeley.edu/"><h2 class="chakra-heading css-dq96cv">CBE Clima Visualization App</h2></a><p class="chakra-text css-9hqzp9">Visualize climate data with time series, heatmaps, maps, wind roses, and more.</p><a target="_blank" href="https://cbe-berkeley.gitbook.io/clima/"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://arxiv.org/abs/2212.04609"><p class="chakra-text css-1dyswoq">Center for the Built Environment (Berkeley)</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/CenterForTheBuiltEnvironment/clima"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css s0qw">.css-s0qw{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/a73da88b-29fb-4b57-b9c2-8f648a73a6eb_Geo3+NOAA+Saildrone+Missions.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-s0qw"><a target="_blank" href="https://viz.pmel.noaa.gov/saildrone/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://viz.pmel.noaa.gov/saildrone/"><h2 class="chakra-heading css-dq96cv">NOAA Saildrone Missions</h2></a><p class="chakra-text css-9hqzp9">Track sail drones deployed by the National Oceanic and Atmospheric Administration.</p><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://www.pmel.noaa.gov/people/roland-schweitzer"><p class="chakra-text css-1dyswoq">Roland Schweitzer</p></a></div></div></div></div></div></div></div></div><div class="chakra-stack css-1jasywb"><a target="_blank" rel="noopener noreferrer" href="/examples/geospatial/"><p class="chakra-text css-b3ey0">View All</p></a></div></section></div><div id="Image, Video & Audio" class="css-0"><section class="css-79elbk"><div class="chakra-stack css-1e4h4ss"><a target="_blank" rel="noopener noreferrer" href="/examples/image-video-audio/"><h2 class="chakra-heading css-kjf8m6">Image, Video & Audio</h2></a><p class="chakra-text css-xq3pvm">Explore how to use Dash for interactive image processing, computer vision, video analysis, and audio engineering. </p></div><div class="css-11wsifs"><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 1lz7pop">.css-1lz7pop{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/e10ddc6c-32bb-4afc-bf73-d0efd48b5fe9_Image2+X+Ray+Image+Analysis.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-1lz7pop"><a target="_blank" href="https://dash.gallery/dash-covid-xray/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://dash.gallery/dash-covid-xray/"><h2 class="chakra-heading css-dq96cv">X-Ray Image Analysis</h2></a><p class="chakra-text css-9hqzp9">Annotate medical images to extract, train, and visualize occlusions.</p><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://plotly.com/contact-us/"><p class="chakra-text css-1dyswoq">Plotly</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/plotly/dash-sample-apps/tree/main/apps/dash-covid-xray"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 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3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://trompa-mtg.upf.edu/vis-mtg-mer/"><h2 class="chakra-heading css-dq96cv">Music Emotion Recognition</h2></a><p class="chakra-text css-9hqzp9">Filter songs by various parameters and run real time frequency analysis.</p><a target="_blank" href="https://github.com/juansgomez87/vis-mtg-mer#abstract"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://www.linkedin.com/in/juan-sebasti%C3%A1n-g%C3%B3mez-ca%C3%B1%C3%B3n-69a28365/"><p class="chakra-text css-1dyswoq">Juan Sebastián Gómez Cañón</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/juansgomez87/vis-mtg-mer"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 13dhtyh">.css-13dhtyh{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/a03d7656-8195-417b-9d98-1edcac7a06cf_Image4+Autonomous+Vehicle+Perception+%26+Computer+Vision.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-13dhtyh"><a target="_blank" href="https://dash.gallery/dash-lyft-explorer/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://dash.gallery/dash-lyft-explorer/"><h2 class="chakra-heading css-dq96cv">Vehicle Perception & Computer Vision</h2></a><p class="chakra-text css-9hqzp9">A frame-by-frame autonomous vehicle explorer from the Lyft perception dataset in Python.</p><a target="_blank" href="https://medium.com/plotly/the-history-of-autonomous-vehicle-datasets-and-3-open-source-python-apps-for-visualizing-them-afee9d13f58a"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://plotly.com/contact-us/"><p class="chakra-text css-1dyswoq">Plotly</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/plotly/dash-sample-apps/tree/main/apps/dash-lyft-explorer"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div></div><div class="chakra-stack css-1jasywb"><a target="_blank" rel="noopener noreferrer" href="/examples/image-video-audio/"><p class="chakra-text css-b3ey0">View All</p></a></div></section></div><div id="Machine Learning" class="css-0"><section class="css-79elbk"><div class="chakra-stack css-1e4h4ss"><a target="_blank" rel="noopener noreferrer" href="/examples/machine-learning/"><h2 class="chakra-heading css-kjf8m6">Machine Learning</h2></a><p class="chakra-text css-xq3pvm">Unlike traditional BI tools, the Dash framework sits on top of machine learning models, giving it its interactive characteristic. Explore how to use Dash for machine learning.</p></div><div class="css-11wsifs"><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 183wvq8">.css-183wvq8{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/af18df4c-97d6-46eb-ab93-cce5993ff577_MachineLearning1+Predicting+Housing+Prices.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-183wvq8"><a target="_blank" href="https://shapash-demo.ossbymaif.fr/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://shapash-demo.ossbymaif.fr/"><h2 class="chakra-heading css-dq96cv">Predicting Housing Prices</h2></a><p class="chakra-text css-9hqzp9">Correlate house features with this explainable machine learning app.</p><a target="_blank" href="https://pub.towardsai.net/shapash-making-ml-models-understandable-by-everyone-8f96ad469eb3"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://github.com/MAIF"><p class="chakra-text css-1dyswoq">MAIF</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/MAIF/shapash"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 12dir96">.css-12dir96{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/40b4dd44-41bf-4dd3-915f-2e2d3339d055_MachineLearning4+Customer+Segmentation+and+Churn+Prediction.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-12dir96"><a target="_blank" href="http://plotlychallengechurn-env.eba-jidvvwmp.us-east-2.elasticbeanstalk.com/summary"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="http://plotlychallengechurn-env.eba-jidvvwmp.us-east-2.elasticbeanstalk.com/summary"><h2 class="chakra-heading css-dq96cv">Customer Segmentation</h2></a><p class="chakra-text css-9hqzp9">Segmenting telecom customers and predicting churn using random forest classifiers.</p><a target="_blank" href="https://community.plotly.com/t/holiday-community-app-building-challenge/70393/8"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://community.plotly.com/u/aschutte"><p class="chakra-text css-1dyswoq">Andrew Schutte</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/almostBurtMacklin/Plotly-Challenge-Public"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 1q58yn6">.css-1q58yn6{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/9af67539-8c2c-433e-bc32-32fb2862487b_MachineLearning6+Salesforce+Explainable+AI.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-1q58yn6"><a target="_blank" href="https://omnixai-24e10803fd23.herokuapp.com/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://omnixai-24e10803fd23.herokuapp.com/"><h2 class="chakra-heading css-dq96cv">Salesforce Explainable AI</h2></a><p class="chakra-text css-9hqzp9">An explainable AI dashboard by the Salesforce AI Research group.</p><a target="_blank" href="https://www.linkedin.com/posts/wenzhuo-yang-23bb7122_github-salesforceomnixai-omnixai-a-library-activity-6941934045463212032-RBTF"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://www.linkedin.com/in/wenzhuo-yang-23bb7122/"><p class="chakra-text css-1dyswoq">Wenzhuo Yang</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/salesforce/OmniXAI"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div></div><div class="chakra-stack css-1jasywb"><a target="_blank" rel="noopener noreferrer" href="/examples/machine-learning/"><p class="chakra-text css-b3ey0">View All</p></a></div></section></div><div id="Natural Language Processing" class="css-0"><section class="css-79elbk"><div class="chakra-stack css-1e4h4ss"><a target="_blank" rel="noopener noreferrer" href="/examples/natural-language-processing/"><h2 class="chakra-heading css-kjf8m6">Natural Language Processing</h2></a><p class="chakra-text css-xq3pvm">If Dash can handle AI and large amounts of data, natural language processing (NLP) is the 'natural' next step. Explore how to put Dash to the test for NLP.</p></div><div class="css-11wsifs"><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 1vdxt4j">.css-1vdxt4j{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/a297c25d-7862-4b9b-9e1d-dea21919d80e_NLP-1+Bank+Consumer+Complaints.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-1vdxt4j"><a target="_blank" href="https://dash.gallery/dash-nlp/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://dash.gallery/dash-nlp/"><h2 class="chakra-heading css-dq96cv">Bank Consumer Complaints</h2></a><p class="chakra-text css-9hqzp9">Natural Language Processing and customer segmentation from consumer complaints.</p><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://plotly.com/contact-us/"><p class="chakra-text css-1dyswoq">Plotly</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/plotly/dash-sample-apps/tree/main/apps/dash-nlp"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 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9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://dash.gallery/dash-cytoscape-lda/"><h2 class="chakra-heading css-dq96cv">LDA Topic Analysis</h2></a><p class="chakra-text css-9hqzp9">Latent Dirichlet Allocation performed in Python across a scientific paper dataset.</p><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://plotly.com/contact-us/"><p class="chakra-text css-1dyswoq">Plotly</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/plotly/dash-sample-apps/tree/main/apps/dash-cytoscape-lda"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 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9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://research-analytics.herokuapp.com/"><h2 class="chakra-heading css-dq96cv">Research Analytics</h2></a><p class="chakra-text css-9hqzp9">Explore topics, authors, and papers across several journals.</p><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://community.plotly.com/u/jhupiterz/summary"><p class="chakra-text css-1dyswoq">Julie Hartz</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/jhupiterz/research-analytics/blob/main/README.md"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div></div><div class="chakra-stack css-1jasywb"><a target="_blank" rel="noopener noreferrer" href="/examples/natural-language-processing/"><p class="chakra-text css-b3ey0">View All</p></a></div></section></div><div id="Predictive Analytics, Forecasting" class="css-0"><section class="css-79elbk"><div class="chakra-stack css-1e4h4ss"><a target="_blank" rel="noopener noreferrer" href="/examples/predictive-analytics/"><h2 class="chakra-heading css-kjf8m6">Predictive Analytics, Forecasting</h2></a><p class="chakra-text css-xq3pvm">Traditional BI tools answers, "What happened?". Plotly and Dash answers, "What if?". Explore these examples of Python in predictive analytics and forecasting.</p></div><div class="css-11wsifs"><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 2o6c2f">.css-2o6c2f{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/288737f5-723e-4ecc-878c-bdcd4f499b3b_Predictive1+Financial+Forecasting+Model+.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-2o6c2f"><a target="_blank" href="https://business-forecast-lab.com/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://business-forecast-lab.com/"><h2 class="chakra-heading css-dq96cv">Financial Forecasting</h2></a><p class="chakra-text css-9hqzp9">A comparison of 15 Python time series forecasting models across 108 indicators.</p><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://www.sydney.edu.au/business/our-research/research-areas/business-analytics.html"><p class="chakra-text css-1dyswoq">University of Sydney</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/forecastlab/forecast_dash"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 1728bf">.css-1728bf{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/b53412b5-598b-4976-afe5-5394874db81e_Predictive+Analytics+-+Harvard+Age+Prediction+App.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-1728bf"><a target="_blank" href="https://www.multidimensionality-of-aging.net/model_interpretability/time_series"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://www.multidimensionality-of-aging.net/model_interpretability/time_series"><h2 class="chakra-heading css-dq96cv">Harvard Age Prediction</h2></a><p class="chakra-text css-9hqzp9">Chronological age predictors with the tools of deep learning.</p><a target="_blank" href="https://www.medrxiv.org/content/10.1101/2021.04.25.21255767v1.full.pdf"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://github.com/theovincent"><p class="chakra-text css-1dyswoq">Théo Vincent</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/Deep-Learning-and-Aging/Website"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css rsm33k">.css-rsm33k{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/b7d08fc2-1b82-4b6e-80c1-595d36460c04_sarima.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-rsm33k"><a target="_blank" href="https://gabria1.pythonanywhere.com/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://gabria1.pythonanywhere.com/"><h2 class="chakra-heading css-dq96cv">SARIMA Tuner</h2></a><p class="chakra-text css-9hqzp9">Learn about the steps needed to work with time series data, fitting sARIMA models to make predictions.</p><a target="_blank" href="https://community.plotly.com/t/plotly-dash-example-apps-challenge/73449/30"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://community.plotly.com/u/gabri"><p class="chakra-text css-1dyswoq">Gabriele</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/gabri-al/sarima_dashboard"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div></div><div class="chakra-stack css-1jasywb"><a target="_blank" rel="noopener noreferrer" href="/examples/predictive-analytics/"><p class="chakra-text css-b3ey0">View All</p></a></div></section></div><div id="Sports Analytics" class="css-0"><section class="css-79elbk"><div class="chakra-stack css-1e4h4ss"><a target="_blank" rel="noopener noreferrer" href="/examples/sports-analytics/"><h2 class="chakra-heading css-kjf8m6">Sports Analytics</h2></a><p class="chakra-text css-xq3pvm">Kansas City Chiefs utilize Dash for social media analytics, real-time ticket pricing, and predictive analytics for gameday crowds. Explore other ways to use Python and Dash for sports analytics.</p></div><div class="css-11wsifs"><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 7t6ilt">.css-7t6ilt{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/ZoL_1B5LeNNTwsOc_NFL-App.png?auto=format,compress?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-7t6ilt"><a target="_blank" href="https://nflstatsdashboard.pythonanywhere.com/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://nflstatsdashboard.pythonanywhere.com/"><h2 class="chakra-heading css-dq96cv">NFL Stats Dashboard</h2></a><p class="chakra-text css-9hqzp9">Visualize NFL offense statistics with interactive charts for player and team stats over multiple seasons.</p><a target="_blank" href="https://community.plotly.com/t/nfl-stats-dashboard/84748"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://www.linkedin.com/in/alfredo-munoz-gutierrez/"><p class="chakra-text css-1dyswoq">Alfredo Gutierrez</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/Alfredomg7/NFLStatsDashboard"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css ij149j">.css-ij149j{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/a5ceaa84-5d28-417c-a1d5-679d3abdb259_SportsFormula+1+Grand+Prix.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-ij149j"><a target="_blank" href="https://f1dash.azurewebsites.net/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://f1dash.azurewebsites.net/"><h2 class="chakra-heading css-dq96cv">Formula 1 Grand Prix</h2></a><p class="chakra-text css-9hqzp9">View and compare lap by lap times of all grand prix races.</p><a target="_blank" href="https://www.reddit.com/r/formula1/comments/wb5yxv/i_made_an_interactive_f1_dashboard_to_explore"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://www.linkedin.com/in/fraser-tarbet-baab67225/"><p class="chakra-text css-1dyswoq">Fraser Tarbet</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/FraserTarbet/F1Dash"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css d8nsfj">.css-d8nsfj{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/d88100c4-a5b7-4ec8-992a-efb2a973aefc_Sports2+NBA+Assists.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-d8nsfj"><a target="_blank" href="https://tracking-dashboard-app.herokuapp.com/dashboard"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://tracking-dashboard-app.herokuapp.com/dashboard"><h2 class="chakra-heading css-dq96cv">NBA Assists</h2></a><p class="chakra-text css-9hqzp9">Track NBA assists, shot coordinates, and player performance across multiple seasons.</p><a target="_blank" href="https://tracking-dashboard-app.herokuapp.com/home"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://www.linkedin.com/in/lukar-huang-50682a146/"><p class="chakra-text css-1dyswoq">Lukar Huang</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/lukarh/assist-tracking-app"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div></div><div class="chakra-stack css-1jasywb"><a target="_blank" rel="noopener noreferrer" href="/examples/sports-analytics/"><p class="chakra-text css-b3ey0">View All</p></a></div></section></div><div id="Bioinformatics & Life Sciences" class="css-0"><section class="css-79elbk"><div class="chakra-stack css-1e4h4ss"><a target="_blank" rel="noopener noreferrer" href="/examples/bioinformatics/"><h2 class="chakra-heading css-kjf8m6">Bioinformatics & Life Sciences</h2></a><p class="chakra-text css-xq3pvm">Singapore Institute for Clinical Sciences (SICS) is not the first to visualize health data through Dash's interactive platform. Explore examples of bioinformatics in a variety of Python and Dash applications, ranging from genomics, public health, clinical trials, 3D images, and more.</p></div><div class="css-11wsifs"><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 889ypc">.css-889ypc{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/b315e1e0-075c-43b6-bdb0-580bc8f2652d_Bio1-Biomolecular+Visualization.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-889ypc"><a target="_blank" href="https://mapiya.lcbio.pl/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://mapiya.lcbio.pl/"><h2 class="chakra-heading css-dq96cv">Biomolecular Visualization</h2></a><p class="chakra-text css-9hqzp9">Visualization of biomolecular interactions in proteins and biological complexes.</p><a target="_blank" href="https://academic.oup.com/nar/article/50/W1/W474/6582162"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://www.linkedin.com/in/sebastiankmiecik/"><p class="chakra-text css-1dyswoq">Sebastian Kmiecik</p></a></div></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css j2niey">.css-j2niey{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/c916ead0-9820-4d58-b18a-46bdd021d8e3_Bio2-Clinical+Patient+Dashboard.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-j2niey"><a target="_blank" href="https://dash.gallery/dash-clinical-analytics/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://dash.gallery/dash-clinical-analytics/"><h2 class="chakra-heading css-dq96cv">Clinical Patient Dashboard</h2></a><p class="chakra-text css-9hqzp9">Explore clinic patient volume by time of day, waiting time, and care score.</p><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://plotly.com/contact-us/"><p class="chakra-text css-1dyswoq">Plotly</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/plotly/dash-sample-apps/tree/main/apps/dash-clinical-analytics"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css xwhcld">.css-xwhcld{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/cb717071-6c6b-4d63-a0f8-728ee5d9e6e7_Bio3-National+Wastewater+Surveillance.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-xwhcld"><a target="_blank" href="https://wavesdashboard.azurewebsites.net/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://wavesdashboard.azurewebsites.net/"><h2 class="chakra-heading css-dq96cv">National Wastewater Surveillance</h2></a><p class="chakra-text css-9hqzp9">A realtime dashboard exploring emerging variants of SARS-CoV-2 in wastewater in Austria.</p><a target="_blank" href="https://www.medrxiv.org/content/10.1101/2022.05.31.22275831v1.full.pdf"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://www.linkedin.com/in/petr-triska/"><p class="chakra-text css-1dyswoq">Petr Triska</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/ptriska/WavesDash"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div></div><div class="chakra-stack css-1jasywb"><a target="_blank" rel="noopener noreferrer" href="/examples/bioinformatics/"><p class="chakra-text css-b3ey0">View All</p></a></div></section></div><div id="Business" class="css-0"><section class="css-79elbk"><div class="chakra-stack css-1e4h4ss"><a target="_blank" rel="noopener noreferrer" href="/examples/business/"><h2 class="chakra-heading css-kjf8m6">Business</h2></a><p class="chakra-text css-xq3pvm">What do Lululemon, Campbell's, and Colgate have in common? They all use Python and Dash to achieve digital transformation. Explore Dash app examples in business, ranging from customer segmentation, retail demand forecasting, and more. </p></div><div class="css-11wsifs"><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 1twsgu2">.css-1twsgu2{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/1ca5b6aa-d5b0-4a4c-8299-6ca3c9692840_Business1+Bank+Consumer+Complaints.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-1twsgu2"><a target="_blank" href="https://dash.gallery/dash-nlp/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://dash.gallery/dash-nlp/"><h2 class="chakra-heading css-dq96cv">Bank Consumer Complaints</h2></a><p class="chakra-text css-9hqzp9">Natural Language Processing and customer segmentation from consumer complaints.</p><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://plotly.com/contact-us/"><p class="chakra-text css-1dyswoq">Plotly</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/plotly/dash-sample-apps/tree/main/apps/dash-nlp"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css nqhfyu">.css-nqhfyu{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/Zv20ALVsGrYSwUOB_AmazonPurchasesApp-1-.png?auto=format,compress);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-nqhfyu"><a target="_blank" href="https://amazonchallenge-122629525979.southamerica-east1.run.app/puchase_overview"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://amazonchallenge-122629525979.southamerica-east1.run.app/puchase_overview"><h2 class="chakra-heading css-dq96cv">Amazon Purchases Dashboard</h2></a><p class="chakra-text css-9hqzp9">A detailed view of Amazon purchases from 2018 to 2022.</p><a target="_blank" href="https://community.plotly.com/t/summer-dash-app-building-challenge-amazon-purchases/84396/18"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://github.com/mayaradaher"><p class="chakra-text css-1dyswoq">Mayara Daher</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/mayaradaher/challenge-Amazon"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 1vbpjoc">.css-1vbpjoc{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/90e80f92-8a6f-40a0-a558-2d0468925b34_Business3+Retail+Demand+Transference.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-1vbpjoc"><a target="_blank" href="https://dash.gallery/retail-demand-transference/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://dash.gallery/retail-demand-transference/"><h2 class="chakra-heading css-dq96cv">Retail Demand Transference</h2></a><p class="chakra-text css-9hqzp9">Predicting consumer product demand for retails across store locations.</p><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://plotly.com/contact-us/"><p class="chakra-text css-1dyswoq">Plotly</p></a></div></div></div></div></div></div></div></div><div class="chakra-stack css-1jasywb"><a target="_blank" rel="noopener noreferrer" href="/examples/business/"><p class="chakra-text css-b3ey0">View All</p></a></div></section></div><div id="Energy & Utilities" class="css-0"><section class="css-79elbk"><div class="chakra-stack css-1e4h4ss"><a target="_blank" rel="noopener noreferrer" href="/examples/energy/"><h2 class="chakra-heading css-kjf8m6">Energy & Utilities</h2></a><p class="chakra-text css-xq3pvm">Uniper uses Dash Enterprise to scale energy trading analytics in a collaborative Azure Databricks notebook environment. Explore other examples of Python Dash applications for energy and utilities use cases.</p></div><div class="css-11wsifs"><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css e5vv0g">.css-e5vv0g{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/Zo7NzB5LeNNTxATQ_MPPappexplorepage.png?auto=format,compress);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-e5vv0g"><a target="_blank" href="https://tracker.missionpossiblepartnership.org/mpp-global-projects-map/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://tracker.missionpossiblepartnership.org/mpp-global-projects-map/"><h2 class="chakra-heading css-dq96cv">MPP Global Project Tracker</h2></a><p class="chakra-text css-9hqzp9">Track the 2030 milestones for decarbonising heavy-emitting industry and transport sectors.</p><a target="_blank" href="https://www.missionpossiblepartnership.org/tracker/"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://www.linkedin.com/company/mppindustry/"><p class="chakra-text css-1dyswoq">Mission Possible Partnership</p></a></div></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css pe53rp">.css-pe53rp{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/Zxljo4F3NbkBX8vS_BatteryStorageMonitor-1-.png?auto=format,compress);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-pe53rp"><a target="_blank" href="https://speichermonitor.eco-stor.de/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://speichermonitor.eco-stor.de/"><h2 class="chakra-heading css-dq96cv">Battery Storage Monitor</h2></a><p class="chakra-text css-9hqzp9">Track large-scale battery storage development in Germany based on public data.</p><a target="_blank" href="https://www.eco-stor.de/en/Energy%20Storage/Storage%20monitor"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://www.linkedin.com/in/amadeusteuffel/"><p class="chakra-text css-1dyswoq">Amadeus Teuffel</p></a></div></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 1e01du5">.css-1e01du5{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/97eb6cc4-718f-4135-b00a-4581221c5f66_Precious+Trade+App+%281%29.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-1e01du5"><a target="_blank" href="https://precious-trade-9495c0104c61.herokuapp.com/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://precious-trade-9495c0104c61.herokuapp.com/"><h2 class="chakra-heading css-dq96cv">Precious Trade App</h2></a><p class="chakra-text css-9hqzp9">Explore global trade networks for various precious metals and stones in 2022.</p><a target="_blank" href="https://community.plotly.com/t/global-trade-networks-exploring-app-w-cytoscape-ag-grid/82196"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://www.linkedin.com/in/tanya-lomskaya/"><p class="chakra-text css-1dyswoq">Tanya Lomskaya</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/lomska/Visualizing-Global-Trade-Networks"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div></div><div class="chakra-stack css-1jasywb"><a target="_blank" rel="noopener noreferrer" href="/examples/energy/"><p class="chakra-text css-b3ey0">View All</p></a></div></section></div><div id="Finance" class="css-0"><section class="css-79elbk"><div class="chakra-stack css-1e4h4ss"><a target="_blank" rel="noopener noreferrer" href="/examples/finance/"><h2 class="chakra-heading css-kjf8m6">Finance</h2></a><p class="chakra-text css-xq3pvm">Dash helps financial organizations like S&P Global, Liberty Mutual, Santander adapt to market trends and stay ahead of competition. Explore examples of Python and Dash in finance, ranging from quantitative analysis, machine learning, portfolio optimization, and NLP.</p></div><div class="css-11wsifs"><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 189srfh">.css-189srfh{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/e6fd79f3-31fd-4160-b221-21f5d4b2d36d_Finance1+-+Predicting+Housing+Prices.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-189srfh"><a target="_blank" href="https://shapash-demo.ossbymaif.fr/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://shapash-demo.ossbymaif.fr/"><h2 class="chakra-heading css-dq96cv">Predicting House Prices</h2></a><p class="chakra-text css-9hqzp9">Correlate house features with this explainable machine learning app.</p><a target="_blank" href="https://pub.towardsai.net/shapash-making-ml-models-understandable-by-everyone-8f96ad469eb3"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://github.com/MAIF"><p class="chakra-text css-1dyswoq">MAIF</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/MAIF/shapash"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css rhuhm8">.css-rhuhm8{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/890c0ff1-b5cb-4447-968a-49d86a4feee2_Finance4+-+Quantitative+Analysis.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-rhuhm8"><a target="_blank" href="http://webrodcepedamarin.herokuapp.com/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="http://webrodcepedamarin.herokuapp.com/"><h2 class="chakra-heading css-dq96cv">Quantitative Analysis</h2></a><p class="chakra-text css-9hqzp9">A beautiful, interactive quantitative analysis report by a quant at Credit Suisse.</p><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://www.linkedin.com/in/rodrigo-cepeda-mar%C3%ADn-7949a6151/"><p class="chakra-text css-1dyswoq">Rodrigo Cepeda Mar</p></a></div></div></div></div></div></div></div><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css 1vyig6q">.css-1vyig6q{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/872414d8-c73f-4c4f-8bea-f24e956ccb4c_Acquisitions+and+Mergers_Example+App.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-1vyig6q"><a target="_blank" href="https://www.concentration-of-banking.site/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://www.concentration-of-banking.site/"><h2 class="chakra-heading css-dq96cv">Acquisitions and Mergers</h2></a><p class="chakra-text css-9hqzp9">Explore the concentration of consolidated assets among the top 4 banks in the US.</p><a target="_blank" href="https://community.plotly.com/t/concentration-of-banking-app/83423"><p class="chakra-text css-1vx18qg">Learn More</p></a><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://www.linkedin.com/in/juan-torres-research-data-pro/"><p class="chakra-text css-1dyswoq">Juan Torres</p></a></div></div><div class="css-4g6ai3"><a target="_blank" href="https://github.com/juanchok12/Concentration-of-Banking"><svg stroke="currentColor" fill="currentColor" stroke-width="0" viewBox="0 0 1024 1024" font-size="25px" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9a127.5 127.5 0 0 1 38.1 91v112.5c.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z"></path></svg></a></div></div></div></div></div></div></div><div class="chakra-stack css-1jasywb"><a target="_blank" rel="noopener noreferrer" href="/examples/finance/"><p class="chakra-text css-b3ey0">View All</p></a></div></section></div><div id="Manufacturing & R&D" class="css-0"><section class="css-79elbk"><div class="chakra-stack css-1e4h4ss"><a target="_blank" rel="noopener noreferrer" href="/examples/manufacturing/"><h2 class="chakra-heading css-kjf8m6">Manufacturing & R&D</h2></a><p class="chakra-text css-xq3pvm">Organizations are searching for tools to accelerate data-driven decision-making. Dash is here to help. Explore Python applications for manufacturing and research and development, ranging from laboratory data collection, IoT, real-time dashboards, and more.</p></div><div class="css-11wsifs"><div class="chakra-stack css-abcl1w" role="group"><style data-emotion="css if9q7i">.css-if9q7i{height:168px!important;width:100%!important;display:block;background:none,url(https://images.prismic.io/plotly-marketing-website-2/ed30f32d-cdc2-45d9-a4f4-2367142ec64a_Manufacturing1+Manufacturing+SPC+Dashboard.png?auto=compress,format);-webkit-background-size:cover;background-size:cover;background-repeat:no-repeat;overflow:hidden!important;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;position:relative;}</style><div class="css-if9q7i"><a target="_blank" href="https://dash.gallery/dash-manufacture-spc-dashboard/"><div class="css-1yj2god"> <div class="chakra-stack css-jh95al"><p class="chakra-text css-xo9wfy">View App</p><div class="css-0"><svg stroke="currentColor" fill="none" stroke-width="2" viewBox="0 0 24 24" stroke-linecap="round" stroke-linejoin="round" color="white" style="color:white" height="1em" width="1em" xmlns="http://www.w3.org/2000/svg"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"></path><polyline points="15 3 21 3 21 9"></polyline><line x1="10" y1="14" x2="21" y2="3"></line></svg></div></div></div></a></div><div class="chakra-stack css-9yf1ih"><div class="chakra-stack css-1mloc4z"><a target="_blank" rel="noopener noreferrer" href="https://dash.gallery/dash-manufacture-spc-dashboard/"><h2 class="chakra-heading css-dq96cv">Manufacturing SPC App</h2></a><p class="chakra-text css-9hqzp9">Monitoring real-time process quality with statistical process control in Python.</p><div class="css-17ciwu4"><div class="chakra-stack css-2qlcdh"><div class="chakra-stack css-hwz0ls"><p class="chakra-text css-1kufdw7">By</p><div class="css-iwh0o7"><a target="_blank" href="https://plotly.com/contact-us/"><p class="chakra-text 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