Analyzing Your Goodreads Reading Habits
An app that scrapes (and never keeps or stores) the books you've read and analyzes data with visual graphs. Then tries to recommend a curated book list to you from a famous public reader.
Download Button Release Demo
Try out the new Download Button widget in our demo app.
Gravitational Wave Quickview
This app downloads and displays a few seconds of data from the Gravitational Wave Open Science Center.
NYC Uber Ridesharing Data
A Streamlit demo to interactively visualize Uber pickups in New York City.
Traingenerator
A web app to generate template code for machine learning.
The fastest way to build and share data apps
Streamlit turns data scripts into shareable web apps in minutes.
All in Python. All for free. No front‑end experience required.
All in Python. All for free. No front‑end experience required.
Play
Learn more: Check our launch blog post and view our PyData presentation video
Get started in under a minute
Streamlit’s open-source app framework is a breeze to get started with. It’s just a matter of:
And you’re done! Now check out our documentation and forums for next steps.
Streamlit builds upon three simple principles
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.
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, ...
Deploy instantly
Effortlessly share, manage, and collaborate on your apps directly from Streamlit. Plans start from completely free!
Build powerful apps
Used in the world’s top data science groups
Neil Treat
Google X
“Write production-level code while producing shareable artifacts.”
Kevin Zielnicki
Stitch Fix
“...a great way to share machine learning models and analyses.”
Emmanuel Ameisen
Insight Data Science
“Streamlit bridges experimentation and production.”
Dominik Moritz
Vega-Lite
“It's the next step in ML and data science tools.”
Danny Nguyen
Yelp
“Streamlit apps are way easier to put together and iterate on.”
Koen Havlik
Uber
“Streamlit democratizes building data apps.”
and...
Compatible with
Basically everything!
And even more, with Streamlit Components!
Build your own, share with the community, bask in the glory.
See why developers
Streamlit
Wait! Frontend is easy?!
It is when you can write it in Python itself.
Make your machine learning app pretty and shareable with@streamlit.
I did it. It was pretty fun!Read about it: bit.ly/3aGQnlp
Day 54/66 of
#66daysofdata: Mainly focused on Streamlit for work. It blows my mind how fast I can spin up proof of concepts while using other python libraries I'm familiar with!
I do believe that
@streamlit is one of the best things that have happened in the applied ML field in recent years.
Being able to create simple UIs directly in Python is a game changer!
I find
@streamlit extremely useful also for education purposes in#machinelearning. This is the ultra-simple#python web app I developed to teach clustering concept and k-means to my students.share.streamlit.io/arielcedola/km...
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!
#python#streamlit#prototyping
Needed the simplest front end possible for an Azure Cognitive Search demo.
Thanks to the wonderful@streamlit, might have achieved it, in minutes.
(@Fur_Bi's recommendation)github.com/masoncusack/Si...
Where were you my whole life
@streamlit I wanted someone like you since forever!
As the saying goes, a
#craftsman is only as good as his#tools. I claim@Streamlit is the most incredible tool for any data craftsman. It enables ordinary#people to create extraordinary#MachineLearning Apps.@tc_ricks
If you do ML and work with Data
@streamlit will breathe life into your work.
Made my first
@streamlit application today.
Minimalism
User Friendly
Intuitive
Easy to Build
Get Started with your AI-app!#ArtificialIntelligence#DataScience
If you haven't already check
@streamlit it completely changed the way I think about prototypes and data apps. Removes a lot of frontend and design barriers for us data nerds.
I think
@streamlit nailed the model for data science apps: it's just regular python code, rendered as an interactive notebook. Once you've started developing in that model, it's really hard to go back. twitter.com/streamlit/stat...We're excited to announce our new Streamlit Components API - releasing the new superpower of using and creating community driven elements and widgets
Read more: medium.com/streamlit/intr...
Upgrade to 0.63.0 to test out
pip install --upgrade streamlit#DataViz#OpenSource
What 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.
Tried
@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#MachineLearning
This 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. twitter.com/calogica/statu...
I spent the day playing with Streamlit, which is like Shiny for python, and here's my initial review:
It is very good.
Put 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 needsgithub.com/benjaminjack/s...
#datascience
The
@streamlit hype is real, this app went from zero to deployed in one night!#python#DataScience nba-roster-turnover.herokuapp.com
Definitely suggest
@streamlit. Super easy to pick up, and looks great!
Using
@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.
Wait! Frontend is easy?!
It is when you can write it in Python itself.
Make your machine learning app pretty and shareable with@streamlit.
I did it. It was pretty fun!
Day 54/66 of
#66daysofdata: Mainly focused on Streamlit for work. It blows my mind how fast I can spin up proof of concepts while using other python libraries I'm familiar with!
I do believe that
@streamlit is one of the best things that have happened in the applied ML field in recent years.
Being able to create simple UIs directly in Python is a game changer!
I find
@streamlit extremely useful also for education purposes in#machinelearning. This is the ultra-simple#python web app I developed to teach clustering concept and k-means to my students.share.streamlit.io/arielcedola/km...
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!#python#streamlit#prototyping
Needed the simplest front end possible for an Azure Cognitive Search demo.
Thanks to the wonderful@streamlit, might have achieved it, in minutes.
(@Fur_Bi's recommendation)github.com/masoncusack/Si...
Where were you my whole life
@streamlit I wanted someone like you since forever!
As the saying goes, a
#craftsman is only as good as his#tools. I claim@Streamlit is the most incredible tool for any data craftsman. It enables ordinary#people to create extraordinary#MachineLearning Apps.@tc_ricks
If you do ML and work with Data
@streamlit will breathe life into your work.
Made my first
@streamlit application today.
Minimalism
User Friendly
Intuitive
Easy to Build
Get Started with your AI-app!#ArtificialIntelligence#DataScience
If you haven't already check
@streamlit it completely changed the way I think about prototypes and data apps. Removes a lot of frontend and design barriers for us data nerds.
I think
@streamlit nailed the model for data science apps: it's just regular python code, rendered as an interactive notebook. Once you've started developing in that model, it's really hard to go back. twitter.com/streamlit/stat...We're excited to announce our new Streamlit Components API - releasing the new superpower of using and creating community driven elements and widgets
pip install --upgrade streamlit#DataViz#OpenSource
What an awesome library
@streamlit is
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.
Tried
@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#MachineLearning
This 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. twitter.com/calogica/statu...
I spent the day playing with Streamlit, which is like Shiny for python, and here's my initial review:
It is very good.
Put 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#datascience
The
@streamlit hype is real, this app went from zero to deployed in one night!#python#DataScience nba-roster-turnover.herokuapp.com
Definitely suggest
@streamlit. Super easy to pick up, and looks great!
Using
@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.
Wait! Frontend is easy?!
It is when you can write it in Python itself.
Make your machine learning app pretty and shareable with@streamlit.
I did it. It was pretty fun!
Day 54/66 of
#66daysofdata: Mainly focused on Streamlit for work. It blows my mind how fast I can spin up proof of concepts while using other python libraries I'm familiar with!
I do believe that
@streamlit is one of the best things that have happened in the applied ML field in recent years.
Being able to create simple UIs directly in Python is a game changer!
I find
@streamlit extremely useful also for education purposes in#machinelearning. This is the ultra-simple#python web app I developed to teach clustering concept and k-means to my students.share.streamlit.io/arielcedola/km...
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!#python#streamlit#prototyping
Needed the simplest front end possible for an Azure Cognitive Search demo.
Thanks to the wonderful@streamlit, might have achieved it, in minutes.
(@Fur_Bi's recommendation)github.com/masoncusack/Si...
Where were you my whole life
@streamlit I wanted someone like you since forever!
As the saying goes, a
#craftsman is only as good as his#tools. I claim@Streamlit is the most incredible tool for any data craftsman. It enables ordinary#people to create extraordinary#MachineLearning Apps.@tc_ricks
If you do ML and work with Data
@streamlit will breathe life into your work.
Made my first
@streamlit application today.
Minimalism
User Friendly
Intuitive
Easy to Build
Get Started with your AI-app!#ArtificialIntelligence#DataScience
If you haven't already check
@streamlit it completely changed the way I think about prototypes and data apps. Removes a lot of frontend and design barriers for us data nerds.
I think
@streamlit nailed the model for data science apps: it's just regular python code, rendered as an interactive notebook. Once you've started developing in that model, it's really hard to go back. twitter.com/streamlit/stat...We're excited to announce our new Streamlit Components API - releasing the new superpower of using and creating community driven elements and widgets
pip install --upgrade streamlit#DataViz#OpenSource
What an awesome library
@streamlit is
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.
Tried
@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#MachineLearning
This 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. twitter.com/calogica/statu...
I spent the day playing with Streamlit, which is like Shiny for python, and here's my initial review:
It is very good.
Put 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#datascience
The
@streamlit hype is real, this app went from zero to deployed in one night!#python#DataScience nba-roster-turnover.herokuapp.com
Definitely suggest
@streamlit. Super easy to pick up, and looks great!
Using
@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.
Try Streamlit Cloud
Community
Share up to 3 open-source apps with the whole world for free.
Available now! We send out invites daily.
Teams and Enterprise
Empower your data team to share unlimited private apps securely within your company.
Currently in private beta.