A faster way to build and share data apps
All in pure Python. No front‑end experience required.
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
Weave in interaction
Deploy instantly
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!
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!
#python#streamlit#prototyping
Where were you my whole life
@streamlit I wanted someone like you since forever!
If you do ML and work with Data
@streamlit will breathe life into your work.
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
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.
In 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
Streamlit 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-technical
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
Where were you my whole life
@streamlit I wanted someone like you since forever!
If you do ML and work with Data
@streamlit will breathe life into your work.
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
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.
In 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
Streamlit 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-technical
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
Where were you my whole life
@streamlit I wanted someone like you since forever!
If you do ML and work with Data
@streamlit will breathe life into your work.
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
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.
In 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
Streamlit 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-technical
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