https://streamlit.io

Streamlit • A faster way to build and share data appsStreamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.Streamlit • A faster way to build and share data apps🚀 Release 1.42 is here: authentication, dataframe updates, and more! 🤩PlaygroundGalleryComponentsCloudCommunityCommunity ProgramsStreamlit CreatorsBecome a Streamlit CreatorBecome a Streamlit AdvocateBecome a Streamlit ModeratorParticipateForumCommunity CloudGitHubBlogConnect with usYouTubeX/TwitterLinkedInNewsletterDocsDeploying? Try:FreeProDeploy with Streamlit Community CloudFor community appsShare your apps with the whole worldPublic apps onlyTotally free-> Log in with GitHubDeploy with SnowflakeFor professionalsCode in your browser or favorite editorWork with Git and CI/CDEnterprise-grade security-> Start the trial now!Deploying? Try:FreeProDeploy with Streamlit Community CloudFor community appsShare your apps with the whole worldPublic apps onlyTotally free-> Log in with GitHubDeploy with SnowflakeFor professionalsCode in your browser or favorite editorWork with Git and CI/CDEnterprise-grade security-> Start the trial now!A faster way to build and share data appsTurn your data scripts into shareable web apps in minutes. All in pure Python. No front‑end experience required.Get startedTry the live playground!PlayLearn more with theStreamlit crash course on YouTubeTrusted by over 90% of Fortune 50 companiesAs of 2024-11-15Get started in under a minuteStreamlit is an open-source app framework that is a breeze to get started with. Just install it like any other Python library: pip install streamlit← Copy to clipboardCopied! streamlit hello← Copy to clipboardCopied!And that's it! Next, check out our documentation and forums for more.Or you can skip local installation altogether:→Try a live playground in your browserThe easiest way to try Streamlit before you install.→Build in public with Streamlit Community CloudPublic apps only. Totally free. You just need a GitHub account.→Build like a pro on SnowflakeUnlimited private apps. Enterprise-grade reliability and security.Streamlit builds uponthree simple principlesEmbrace scriptingBuild an app in a few lines of code with our magically simple API. Then see it automatically update as you iteratively save the source file.MyApp.pyimport streamlit as stimport pandas as pd st.write("""# My first appHello *world!*""") df = pd.read_csv("my_data.csv")st.line_chart(df)My App • StreamlitMy first appHello world!Weave in interactionAdding a widget is the same as declaring a variable. No need to write a backend, define routes, handle HTTP requests, connect a frontend, write HTML, CSS, JavaScript, ...Deploy instantlyThe choice is yours — show off your public apps for free on Streamlit Community Cloud, go with Snowflake for enterprise‑grade deployment, or pick something else entirely!Build powerful appsCategoriesFavoritesTrendingLLMsSnowflake poweredData visualizationGeography & societySports & funScience & technologyNLP & languageFinance & businessOtherView more →Used in the world’s top data science groupsNeil TreatGoogle X“Write production-level code while producing shareable artifacts.”Kevin ZielnickiStitch Fix“...a great way to share machine learning models and analyses.”Emmanuel AmeisenInsight Data Science“Streamlit bridges experimentation and production.”Dominik MoritzVega-Lite“It's the next step in ML and data science tools.”Danny NguyenYelp“Streamlit apps are way easier to put together and iterate on.”Koen HavlikUber“Streamlit democratizes building data apps.”and...Compatible withBasically everything!And even more, with Streamlit Components! Build your own, share with the community, bask in the glory.See why developers StreamlitMax Wiertz@maxwiertzReally really pleased with @streamlit so far. Used it to build a clickable prototype for a complex piece of a web application. It turned out faster and more flexible than everything else I could find. Highly recommended! #python #streamlit #prototyping10PermalinkSaayed Alam@saayedalamWhere were you my whole life @streamlit I wanted someone like you since forever!10PermalinkRobert John | MLOps@trojrobertIf you do ML and work with Data@streamlit will breathe life into your work.16PermalinkShubham Chaudhari@Shubham28698What an awesome library @streamlit is !!!!!! So much productive, easy and flexible.From coding to deployment in just 2 days (since it was new for me).Probably i should boost up and do more projects using it.8PermalinkVinay Babu@min2broTried @streamlit today and believe me I regret spending those hours working on HTML and Javascript to build a Web apps for my Algorithms for demo. It's one of the fastest and simple way to make a web app and showcase your work using python#Python #MachineLearning8Permalink@Cmrn_DPThis past week I played with @streamlit to bring some advanced models + visuals to a non-technical team. Very easy to build & deploy and very impressive final product. Honestly, thinking more about it, I think this is a game-changer like IPython Notebooks were in 2013. https://twitter.com/calogica/status/118084480725973401664Permalink@drewsteen@universeodon.com@drdrewsteenI spent the day playing with Streamlit, which is like Shiny for python, and here's my initial review: It is very good.9PermalinkBen Jack @benrjackPut together this simple PCA dashboard with @streamlit and @plotlygraphs tonight. Streamlit is such a pleasure to use and will definitely be my first choice for my dashboarding needs https://github.com/benjaminjack/streamlit-pca #datascience30PermalinkKevin Arvai@arvkeviThe @streamlit hype is real, this app went from zero to deployed in one night! #python #DataScience https://nba-roster-turnover.herokuapp.com/35PermalinkAlireza Ghasemi@a_ghasemiUsing @streamlit and for the first time in a very long while, or ever, I don't swear under my breath while writing the UI/demo code for a #DataScience use-case. Heck it's even enjoyable! They do right everything Jupyter notebooks got wrong.7PermalinkAtharva Ingle@AtharvaIngle7In building end to end #MachineLearning #webapps my time distribution was: Actual logic and ml part : 20 %Frontend : 80%After @streamlit it has become:Logic and ml part: 100%@streamlit is 5PermalinkAnuj Syal@anuj_syalStreamlit is a blessing for data scientists. There’s no two ways about it. It not only helps them to build ML web applications, but also conveniently share and demonstrate their models to stakeholders, customers and colleagues especially if they are non-technical1PermalinkAndrej Baranovskij@andrejusbIt took me ~1 hour to build this dashboard (data is dummy) layout in @streamlit. Using default Streamlit components. I think it would take 10 times longer with HTML/JS. Now I can focus on functionality , not on div alignment Code: https://github.com/katanaml/sparrow/tree/main/sparrow-ui764Permalinkpablooomvc@pablooomvc1 StreamlitThis one is just impressive. Create and deploy data-driven web apps in the simplest way possible. These apps look great, are easy to update, and can even be interactive. Check it out: https://streamlit.io/1PermalinkHarrison Broadbent@hrrsnbbntJust spent this week using @streamlit to build a live animated map I'd never heard of them before this week but very impressed with the speed from idea->data->visualisations 1PermalinkLorenz@Lorenz_WebEvery new @streamlit release feels like Christmas 4PermalinkTeddy Bear@jo5h_ofallI just discovered the most beautiful thing ever created.@streamlit I friggin love you No hassle,no complications,no dramaJust straight up works like a dreamUgh.....I could cryMachine learning just got a whole lot fun-er20PermalinkAldo Escobar@AldoEscobarLVPQue belleza celestial streamlit y su simplicidad para crear dashboards con Python en 2 segundos7PermalinkJoshua Ouellette@jtouelletteNot gonna lie. The hours I spend each week working in @streamlit are my favorites.3PermalinkAyoub Nainia@nainia_ayoubProductionizing your machine learning model is a mandatory part of your ML project lifecycle. In that context, I have found Streamlit to be very effective and practical, not to mention how fun it is.6PermalinkMax Wiertz@maxwiertzReally really pleased with @streamlit so far. Used it to build a clickable prototype for a complex piece of a web application. It turned out faster and more flexible than everything else I could find. Highly recommended! #python #streamlit #prototyping10PermalinkSaayed Alam@saayedalamWhere were you my whole life @streamlit I wanted someone like you since forever!10PermalinkRobert John | MLOps@trojrobertIf you do ML and work with Data@streamlit will breathe life into your work.16PermalinkShubham Chaudhari@Shubham28698What an awesome library @streamlit is !!!!!! So much productive, easy and flexible.From coding to deployment in just 2 days (since it was new for me).Probably i should boost up and do more projects using it.8PermalinkVinay Babu@min2broTried @streamlit today and believe me I regret spending those hours working on HTML and Javascript to build a Web apps for my Algorithms for demo. It's one of the fastest and simple way to make a web app and showcase your work using python#Python #MachineLearning8Permalink@Cmrn_DPThis past week I played with @streamlit to bring some advanced models + visuals to a non-technical team. Very easy to build & deploy and very impressive final product. Honestly, thinking more about it, I think this is a game-changer like IPython Notebooks were in 2013. https://twitter.com/calogica/status/118084480725973401664Permalink@drewsteen@universeodon.com@drdrewsteenI spent the day playing with Streamlit, which is like Shiny for python, and here's my initial review: It is very good.9PermalinkBen Jack @benrjackPut together this simple PCA dashboard with @streamlit and @plotlygraphs tonight. Streamlit is such a pleasure to use and will definitely be my first choice for my dashboarding needs https://github.com/benjaminjack/streamlit-pca #datascience30PermalinkKevin Arvai@arvkeviThe @streamlit hype is real, this app went from zero to deployed in one night! #python #DataScience https://nba-roster-turnover.herokuapp.com/35PermalinkAlireza Ghasemi@a_ghasemiUsing @streamlit and for the first time in a very long while, or ever, I don't swear under my breath while writing the UI/demo code for a #DataScience use-case. Heck it's even enjoyable! They do right everything Jupyter notebooks got wrong.7PermalinkAtharva Ingle@AtharvaIngle7In building end to end #MachineLearning #webapps my time distribution was: Actual logic and ml part : 20 %Frontend : 80%After @streamlit it has become:Logic and ml part: 100%@streamlit is 5PermalinkAnuj Syal@anuj_syalStreamlit is a blessing for data scientists. There’s no two ways about it. It not only helps them to build ML web applications, but also conveniently share and demonstrate their models to stakeholders, customers and colleagues especially if they are non-technical1PermalinkAndrej Baranovskij@andrejusbIt took me ~1 hour to build this dashboard (data is dummy) layout in @streamlit. Using default Streamlit components. I think it would take 10 times longer with HTML/JS. Now I can focus on functionality , not on div alignment Code: https://github.com/katanaml/sparrow/tree/main/sparrow-ui764Permalinkpablooomvc@pablooomvc1 StreamlitThis one is just impressive. Create and deploy data-driven web apps in the simplest way possible. These apps look great, are easy to update, and can even be interactive. Check it out: https://streamlit.io/1PermalinkHarrison Broadbent@hrrsnbbntJust spent this week using @streamlit to build a live animated map I'd never heard of them before this week but very impressed with the speed from idea->data->visualisations 1PermalinkLorenz@Lorenz_WebEvery new @streamlit release feels like Christmas 4PermalinkTeddy Bear@jo5h_ofallI just discovered the most beautiful thing ever created.@streamlit I friggin love you No hassle,no complications,no dramaJust straight up works like a dreamUgh.....I could cryMachine learning just got a whole lot fun-er20PermalinkAldo Escobar@AldoEscobarLVPQue belleza celestial streamlit y su simplicidad para crear dashboards con Python en 2 segundos7PermalinkJoshua Ouellette@jtouelletteNot gonna lie. The hours I spend each week working in @streamlit are my favorites.3PermalinkAyoub Nainia@nainia_ayoubProductionizing your machine learning model is a mandatory part of your ML project lifecycle. In that context, I have found Streamlit to be very effective and practical, not to mention how fun it is.6PermalinkMax Wiertz@maxwiertzReally really pleased with @streamlit so far. Used it to build a clickable prototype for a complex piece of a web application. It turned out faster and more flexible than everything else I could find. Highly recommended! #python #streamlit #prototyping10PermalinkSaayed Alam@saayedalamWhere were you my whole life @streamlit I wanted someone like you since forever!10PermalinkRobert John | MLOps@trojrobertIf you do ML and work with Data@streamlit will breathe life into your work.16PermalinkShubham Chaudhari@Shubham28698What an awesome library @streamlit is !!!!!! So much productive, easy and flexible.From coding to deployment in just 2 days (since it was new for me).Probably i should boost up and do more projects using it.8PermalinkVinay Babu@min2broTried @streamlit today and believe me I regret spending those hours working on HTML and Javascript to build a Web apps for my Algorithms for demo. It's one of the fastest and simple way to make a web app and showcase your work using python#Python #MachineLearning8Permalink@Cmrn_DPThis past week I played with @streamlit to bring some advanced models + visuals to a non-technical team. Very easy to build & deploy and very impressive final product. Honestly, thinking more about it, I think this is a game-changer like IPython Notebooks were in 2013. https://twitter.com/calogica/status/118084480725973401664Permalink@drewsteen@universeodon.com@drdrewsteenI spent the day playing with Streamlit, which is like Shiny for python, and here's my initial review: It is very good.9PermalinkBen Jack @benrjackPut together this simple PCA dashboard with @streamlit and @plotlygraphs tonight. Streamlit is such a pleasure to use and will definitely be my first choice for my dashboarding needs https://github.com/benjaminjack/streamlit-pca #datascience30PermalinkKevin Arvai@arvkeviThe @streamlit hype is real, this app went from zero to deployed in one night! #python #DataScience https://nba-roster-turnover.herokuapp.com/35PermalinkAlireza Ghasemi@a_ghasemiUsing @streamlit and for the first time in a very long while, or ever, I don't swear under my breath while writing the UI/demo code for a #DataScience use-case. Heck it's even enjoyable! They do right everything Jupyter notebooks got wrong.7PermalinkAtharva Ingle@AtharvaIngle7In building end to end #MachineLearning #webapps my time distribution was: Actual logic and ml part : 20 %Frontend : 80%After @streamlit it has become:Logic and ml part: 100%@streamlit is 5PermalinkAnuj Syal@anuj_syalStreamlit is a blessing for data scientists. There’s no two ways about it. It not only helps them to build ML web applications, but also conveniently share and demonstrate their models to stakeholders, customers and colleagues especially if they are non-technical1PermalinkAndrej Baranovskij@andrejusbIt took me ~1 hour to build this dashboard (data is dummy) layout in @streamlit. Using default Streamlit components. I think it would take 10 times longer with HTML/JS. Now I can focus on functionality , not on div alignment Code: https://github.com/katanaml/sparrow/tree/main/sparrow-ui764Permalinkpablooomvc@pablooomvc1 StreamlitThis one is just impressive. Create and deploy data-driven web apps in the simplest way possible. These apps look great, are easy to update, and can even be interactive. Check it out: https://streamlit.io/1PermalinkHarrison Broadbent@hrrsnbbntJust spent this week using @streamlit to build a live animated map I'd never heard of them before this week but very impressed with the speed from idea->data->visualisations 1PermalinkLorenz@Lorenz_WebEvery new @streamlit release feels like Christmas 4PermalinkTeddy Bear@jo5h_ofallI just discovered the most beautiful thing ever created.@streamlit I friggin love you No hassle,no complications,no dramaJust straight up works like a dreamUgh.....I could cryMachine learning just got a whole lot fun-er20PermalinkAldo Escobar@AldoEscobarLVPQue belleza celestial streamlit y su simplicidad para crear dashboards con Python en 2 segundos7PermalinkJoshua Ouellette@jtouelletteNot gonna lie. The hours I spend each week working in @streamlit are my favorites.3PermalinkAyoub Nainia@nainia_ayoubProductionizing your machine learning model is a mandatory part of your ML project lifecycle. In that context, I have found Streamlit to be very effective and practical, not to mention how fun it is.6PermalinkDeploy on enterpriseTry Streamlit in Snowflake. Code in the browser, collaborate with Git, deploy in one click. With the security and reliability of Snowflake.Learn moreSiteHomePlaygroundApp galleryComponent galleryCommunityCommunity CloudDocumentationGet startedTutorialsAPI referenceCheat sheetChangelogResourcesForumBlogBrandSocialGitHubYouTubeLinkedInTwitter/X© 2025 Snowflake Inc.Security advisoriesCookie policyPrivacy noticeTerms of useContactenen1740340441https://streamlit.io

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