Training Example: Streamlit – Review the Data, Give Your Score & Compare to the Real AI Evaluation

[H2] A faster way to build and share data apps
Turn 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 2024-11-15
[H2] Get started in under a minute
Streamlit 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.
[H2] Streamlit builds upon
three simple principles
[H2] Embrace
scripting
Build 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 • Streamlit
[H2] My first app
Hello world!
[H2] Weave in
interaction
Adding 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, ...
[H2] Deploy
instantly
The 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!
[H2] Build powerful apps
View more →
[H2] Used in
the world’s top
data science groups
[H3] Neil Treat
[H4] Google X
“Write production-level code while producing shareable artifacts.”
[H3] Kevin Zielnicki
[H4] Stitch Fix
“...a great way to share machine learning models and analyses.”
[H3] Emmanuel Ameisen
[H4] Insight Data Science
“Streamlit bridges experimentation and production.”
[H3] Dominik Moritz
[H4] Vega-Lite
“It's the next step in ML and data science tools.”
[H3] Danny Nguyen
[H4] Yelp
“Streamlit apps are way easier to put together and iterate on.”
[H3] Koen Havlik
[H4] Uber
“Streamlit democratizes building data apps.”
[H4] and...
[H2] Compatible with
Basically everything!
[IMG: Bokeh]
[IMG: Altair]
[IMG: PyTorch]
[IMG: OpenCV]
[IMG: Deck.Gl]
[IMG: Pandas]
[IMG: Vega-Lite]
[IMG: Matplotlib]
[IMG: NumPy]
[IMG: Scikit Learn]
[IMG: Tensorflow]
[IMG: Plotly]
[IMG: Keras]
And even more, with Streamlit Components!
Build your own, share with the community, bask in the glory.
[H2] See why developers
Streamlit
Really 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!
[IMG: ?]
#python #streamlit #prototyping10PermalinkWhere were you my whole life @streamlit I wanted someone like you since forever!10PermalinkIf you do ML and work with Data@streamlit will breathe life into your work.16PermalinkWhat an awesome library @streamlit is
[IMG: ?]
[IMG: ?]
[IMG: ?]
!!!!!! 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.
[IMG: ?]
[IMG: View image on Twitter]
8PermalinkTried @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 #MachineLearning8PermalinkThis 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/118084480725973401664PermalinkI spent the day playing with Streamlit, which is like Shiny for python, and here's my initial review: It is very good.9PermalinkPut 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
[IMG: ?]
https://github.com/benjaminjack/streamlit-pca #datascience30PermalinkThe @streamlit hype is real, this app went from zero to deployed in one night! #python #DataScience https://nba-roster-turnover.herokuapp.com/
[IMG: View image on Twitter]
35PermalinkUsing @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.7PermalinkIn 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
[IMG: ❤️]
5PermalinkStreamlit 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-technical1PermalinkIt 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
[IMG: ?]
, not on div alignment
[IMG: ?]
Code: https://github.com/katanaml/sparrow/tree/main/sparrow-ui
[IMG: View image on Twitter]
764Permalink
[IMG: ?]
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/1PermalinkJust spent this week using @streamlit to build a live animated map
[IMG: ?]
I'd never heard of them before this week but very impressed with the speed from idea->data->visualisations
[IMG: ?]
1PermalinkEvery new @streamlit release feels like Christmas
[IMG: ?]
[IMG: ?]
[IMG: ?]
[IMG: ❄]
4PermalinkI 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-er20PermalinkQue belleza celestial streamlit y su simplicidad para crear dashboards con Python en 2 segundos7PermalinkNot gonna lie. The hours I spend each week working in @streamlit are my favorites.3PermalinkProductionizing 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.6PermalinkReally 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!
[IMG: ?]
#python #streamlit #prototyping10PermalinkWhere were you my whole life @streamlit I wanted someone like you since forever!10PermalinkIf you do ML and work with Data@streamlit will breathe life into your work.16PermalinkWhat an awesome library @streamlit is
[IMG: ?]
[IMG: ?]
[IMG: ?]
!!!!!! 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.
[IMG: ?]
[IMG: View image on Twitter]
8PermalinkTried @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 #MachineLearning8PermalinkThis 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/118084480725973401664PermalinkI spent the day playing with Streamlit, which is like Shiny for python, and here's my initial review: It is very good.9PermalinkPut 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
[IMG: ?]
https://github.com/benjaminjack/streamlit-pca #datascience30PermalinkThe @streamlit hype is real, this app went from zero to deployed in one night! #python #DataScience https://nba-roster-turnover.herokuapp.com/
[IMG: View image on Twitter]
35PermalinkUsing @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.7PermalinkIn 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
[IMG: ❤️]
5PermalinkStreamlit 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-technical1PermalinkIt 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
[IMG: ?]
, not on div alignment
[IMG: ?]
Code: https://github.com/katanaml/sparrow/tree/main/sparrow-ui
[IMG: View image on Twitter]
764Permalink
[IMG: ?]
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/1PermalinkJust spent this week using @streamlit to build a live animated map
[IMG: ?]
I'd never heard of them before this week but very impressed with the speed from idea->data->visualisations
[IMG: ?]
1PermalinkEvery new @streamlit release feels like Christmas
[IMG: ?]
[IMG: ?]
[IMG: ?]
[IMG: ❄]
4PermalinkI 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-er20PermalinkQue belleza celestial streamlit y su simplicidad para crear dashboards con Python en 2 segundos7PermalinkNot gonna lie. The hours I spend each week working in @streamlit are my favorites.3PermalinkProductionizing 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.6PermalinkReally 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!
[IMG: ?]
#python #streamlit #prototyping10PermalinkWhere were you my whole life @streamlit I wanted someone like you since forever!10PermalinkIf you do ML and work with Data@streamlit will breathe life into your work.16PermalinkWhat an awesome library @streamlit is
[IMG: ?]
[IMG: ?]
[IMG: ?]
!!!!!! 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.
[IMG: ?]
[IMG: View image on Twitter]
8PermalinkTried @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 #MachineLearning8PermalinkThis 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/118084480725973401664PermalinkI spent the day playing with Streamlit, which is like Shiny for python, and here's my initial review: It is very good.9PermalinkPut 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
[IMG: ?]
https://github.com/benjaminjack/streamlit-pca #datascience30PermalinkThe @streamlit hype is real, this app went from zero to deployed in one night! #python #DataScience https://nba-roster-turnover.herokuapp.com/
[IMG: View image on Twitter]
35PermalinkUsing @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.7PermalinkIn 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
[IMG: ❤️]
5PermalinkStreamlit 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-technical1PermalinkIt 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
[IMG: ?]
, not on div alignment
[IMG: ?]
Code: https://github.com/katanaml/sparrow/tree/main/sparrow-ui
[IMG: View image on Twitter]
764Permalink
[IMG: ?]
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/1PermalinkJust spent this week using @streamlit to build a live animated map
[IMG: ?]
I'd never heard of them before this week but very impressed with the speed from idea->data->visualisations
[IMG: ?]
1PermalinkEvery new @streamlit release feels like Christmas
[IMG: ?]
[IMG: ?]
[IMG: ?]
[IMG: ❄]
4PermalinkI 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-er20PermalinkQue belleza celestial streamlit y su simplicidad para crear dashbo

[H1] Playground
Try out a limited version of Streamlit right in your browser.Just edit the code below and the app on the right updates automatically.For the real thing, install our Python library.ExamplesBlankHelloChartsDataframesLLM chatComputer visionGeospatialShare

[H1] App Gallery
Try out these apps, browse their source code, then fork them and make them your own. Also check out Streamlit Community Cloud for more.

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[H2] Ridiculously easy
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your app will update immediately.Now check our docs to learn what more you can doFEATURES
[H2] Everything you need
[IMG: Deploy in one click]
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[IMG: Keep your code in your repo]
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[IMG: Live updates]
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Connect to all your data sources using secure protocols.
[IMG: Restrict access to apps]
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[IMG: Connect with the community]
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