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.
Bayesian Deep Learning for Galaxy Zoo DECaLS🏅🎈
This app includes deep learning classifications for all galaxies. The model learns from volunteers and predicts posteriors for every Galaxy Zoo question.
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
All in Python. All for free. No front‑end experience required.
Get started in under a minute
And you’re done! Now check out our documentation and forums for next steps.
Streamlit builds uponthree simple principles
Principle #1
Embrace scripting
Principle #2
Weave in interaction
Principle #3
Deploy instantly
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)
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...
Tested my first time series prediction app using
@streamlit and it is amazing ...#100DaysOfCode
@streamlit sharing is absolutely awesome. Kudos to the Streamlit folks! Normally deploying is such a pain in the butt but now it is a matter of couple of clicks.
Watch the video to find out how you can deploy your Streamlit apps with ease too!youtu.be/B0MUXtmSpiA
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
I thought I'd drop here that I'm ditching Jupyter notebooks from good.
@streamlit is only in its early days, but I've used it enough to be convinced that it's what I needed all along. streamlit.io#datascience
Just discovered
@streamlit! Amazing tool that can go beyond ML: I wrote an interactive#OAuth2 flow in minutesgist.github.com/frankie567/63d...
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'm absolutely giddy about -->
@streamlit
It's such a good paradigm, I have so many command line python tools that I can now turn into little web apps.
with jupyter notebooks, not being able to browse my code in my editor was always a deal breaker. twitter.com/streamlit/stat...We launched today!
![]()
Streamlit is the fastest way to build custom
#machinelearning tools.
$ pip install streamlit
$ streamlit hello
See more: streamlit.io
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...
Tested my first time series prediction app using
@streamlit and it is amazing ...#100DaysOfCode
@streamlit sharing is absolutely awesome. Kudos to the Streamlit folks! Normally deploying is such a pain in the butt but now it is a matter of couple of clicks.
Watch the video to find out how you can deploy your Streamlit apps with ease too!youtu.be/B0MUXtmSpiA
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
I thought I'd drop here that I'm ditching Jupyter notebooks from good.
@streamlit is only in its early days, but I've used it enough to be convinced that it's what I needed all along. streamlit.io#datascience
Just discovered
@streamlit! Amazing tool that can go beyond ML: I wrote an interactive#OAuth2 flow in minutesgist.github.com/frankie567/63d...
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'm absolutely giddy about -->
@streamlit
It's such a good paradigm, I have so many command line python tools that I can now turn into little web apps.
with jupyter notebooks, not being able to browse my code in my editor was always a deal breaker. twitter.com/streamlit/stat...We launched today!
![]()
Streamlit is the fastest way to build custom
#machinelearning tools.
$ pip install streamlit
$ streamlit hello
See more: streamlit.io
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...
Tested my first time series prediction app using
@streamlit and it is amazing ...#100DaysOfCode
@streamlit sharing is absolutely awesome. Kudos to the Streamlit folks! Normally deploying is such a pain in the butt but now it is a matter of couple of clicks.
Watch the video to find out how you can deploy your Streamlit apps with ease too!youtu.be/B0MUXtmSpiA
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
I thought I'd drop here that I'm ditching Jupyter notebooks from good.
@streamlit is only in its early days, but I've used it enough to be convinced that it's what I needed all along. streamlit.io#datascience
Just discovered
@streamlit! Amazing tool that can go beyond ML: I wrote an interactive#OAuth2 flow in minutesgist.github.com/frankie567/63d...
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'm absolutely giddy about -->
@streamlit
It's such a good paradigm, I have so many command line python tools that I can now turn into little web apps.
with jupyter notebooks, not being able to browse my code in my editor was always a deal breaker. twitter.com/streamlit/stat...We launched today!
![]()
Streamlit is the fastest way to build custom
#machinelearning tools.
$ pip install streamlit
$ streamlit hello
See more: streamlit.io