See highlights, bug fixes, and known issues for Streamlit releases:


To upgrade to the latest version of Streamlit, run:

$ pip install --upgrade streamlit

Version 0.50.1

Release date: November 10, 2019


  • 👩‍🎓 SymPy support and ability to draw mathematical expressions using LaTeX! See st.latex, st.markdown, and st.write.
  • 🌄 You can now set config options using environment variables. For example, export STREAMLIT_SERVER_PORT=9876.
  • 🐱 Ability to call streamlit run directly with Github and Gist URLs. No need to grab the “raw” URL first!
  • 📃 Cleaner exception stack traces. We now remove all Streamlit-specific code from stack traces generating from the user’s app.

Version 0.49.0

Release date: October 23, 2019


  • 💯 New input widget for entering numbers with the keyboard: st.number_input()
  • 📺 Audio/video improvements: ability to load from a URL, to embed YouTube videos, and to set the start position.
  • 🤝 You can now (once again) share static snapshots of your apps to S3! See the S3 section of streamlit config show to set it up. Then share from top-right menu.
  • ⚙️ Use server.baseUrlPath config option to set Streamlit’s URL to something like

Notable bug fixes:

Version 0.48.0

Release date: October 12, 2019


  • 🔧 Ability to set config options as command line flags or in a local config file.
  • ↕️ You can now maximize charts and images!
  • ⚡ Streamlit is now much faster when writing data in quick succession to your app.
  • ✳️ Ability to blacklist folder globs from “run on save” and @st.cache hashing.
  • 🎛️ Improved handling of widget state when Python file is modified.
  • 🙈 Improved HTML support in st.write and st.markdown. HTML is still unsafe, though!

Notable bug fixes:

  • Fixes @st.cache bug related to having your Python environment on current working directory. Issue #242
  • Fixes loading of root url / on Windows. Issue #244

Version 0.47.0

Release date: October 1, 2019


  • 🌄 New showing off 4 glorious Streamlit apps. Try it out!
  • 🔄 Streamlit now automatically selects an unused port when 8501 is already in use.
  • 🎁 Sidebar support is now out of beta! Just start any command with st.sidebar. instead of st.
  • ⚡ Performance improvements: we added a cache to our websocket layer so we no longer re-send data to the browser when it hasn’t changed between runs
  • 📈 Our “native” charts st.line_chart, st.area_chart and st.bar_chart now use Altair behind the scenes
  • 🔫 Improved widgets: custom st.slider labels; default values in multiselect
  • 🕵️‍♀️ The filesystem watcher now ignores hidden folders and virtual environments
  • 💅 Plus lots of polish around caching and widget state management

Breaking change:

  • 🛡️ We have temporarily disabled support for sharing static “snapshots” of Streamlit apps. Now that we’re no longer in a limited-access beta, we need to make sure sharing is well thought through and abides by laws like the DMCA. But we’re working on a solution!

Version 0.46.0

Release date: September 19, 2019


  • ✨ Magic commands! Use st.write without typing st.write. See
  • 🎛️ New st.multiselect widget.
  • 🐍 Fixed numerous install issues so now you can use pip install streamlit even in Conda! We’ve therefore deactivated our Conda repo.
  • 🐞 Multiple bug fixes and additional polish in preparation for our launch!

Breaking change:

  • 🛡️ HTML tags are now blacklisted in st.write/st.markdown by default. More information and a temporary work-around at:

Version 0.45.0

Release date: August 28, 2019


  • 😱 Experimental support for sidebar! Let us know if you want to be a beta tester.
  • 🎁 Completely redesigned st.cache! Much more performant, has a cleaner API, support for caching functions called by @st.cached functions, user-friendly error messages, and much more!
  • 🖼️ Lightning fast st.image, ability to choose between JPEG and PNG compression, and between RGB and BGR (for OpenCV).
  • 💡 Smarter API for st.slider, st.selectbox, and
  • 🤖 Automatically fixes the Matplotlib backend – no need to edit .matplotlibrc

Version 0.44.0

Release date: July 28, 2019


• ⚡ Lightning-fast reconnect when you do a ctrl-c/rerun on your Streamlit code • 📣 Useful error messages when the connection fails • 💎 Fixed multiple bugs and improved polish of our newly-released interactive widgets

Version 0.43.0

Release date: July 9, 2019


  • ⚡ Support for interactive widgets! 🎈🎉

Version 0.42.0

Release date: July 1, 2019


  • 💾 Ability to save Vega-Lite and Altair charts to SVG or PNG
  • 🐇 We now cache JS files in your browser for faster loading
  • ⛔ Improvements to error-handling inside Streamlit apps

Version 0.41.0

Release date: June 24, 2019


  • 📈 Greatly improved our support for named datasets in Vega-Lite and Altair
  • 🙄 Added ability to ignore certain folders when watching for file changes. See the server.folderWatchBlacklist config option.
  • ☔ More robust against syntax errors on the user’s script and imported modules

Version 0.40.0

Release date: June 10, 2019


  • Streamlit is more than 10x faster. Just save and watch your analyses update instantly.
  • We changed how you run Streamlit apps: $ streamlit run [script args]
  • Unlike the previous versions of Streamlit, streamlit run [script] [script args] creates a server (now you don’t need to worry if the proxy is up). To kill the server, all you need to do is hit Ctrl+c.

Why is this so much faster?

Now, Streamlit keeps a single Python session running until you kill the server. This means that Streamlit can re-run your code without kicking off a new process; imported libraries are cached to memory. An added bonus is that st.cache now caches to memory instead of to disk.

What happens if I run Streamlit the old way?

If you run $ python the script will execute from top to bottom, but won’t produce a Streamlit app.

What are the limitations of the new architecture?

  • To switch Streamlit apps, first you have to kill the Streamlit server with Ctrl-c. Then, you can use streamlit run to generate the next app.
  • Streamlit only works when used inside Python files, not interactively from the Python REPL.

What else do I need to know?

  • The strings we print to the command line when liveSave is on have been cleaned up. You may need to adjust any RegEx that depends on those.

  • A number of config options have been renamed:

    Old config New config
    proxy.isRemote server.headless
    proxy.liveSave server.liveSave
    proxy.runOnSave, proxy.watchFileSystem server.runOnSave
    proxy.enableCORS server.enableCORS
    proxy.port server.port
    browser.proxyAddress browser.serverAddress
    browser.proxyPort browser.serverPort
    client.waitForProxySecs n/a
    client.throttleSecs n/a
    client.tryToOutliveProxy n/a
    client.proxyAddress n/a
    client.proxyPort n/a
    proxy.autoCloseDelaySecs n/a
    proxy.reportExpirationSecs n/a

What if something breaks?

If the new Streamlit isn’t working, please let us know by Slack or email. You can downgrade at any time with these commands:

$ pip install --upgrade streamlit==0.37
$ conda install streamlit=0.37

What’s next?

Thank you for staying with us on this journey! This version of Streamlit lays the foundation for interactive widgets, a new feature of Streamlit we’re really excited to share with you in the next few months.

Version 0.36.0

Release date: May 03, 2019


  • 🚣‍♀️ st.progress() now also accepts floats from 0.0–1.0
  • 🤯 Improved rendering of long headers in DataFrames
  • 🔐 Shared apps now default to HTTPS

Version 0.35.0

Release date: April 26, 2019


  • 📷 Bokeh support! Check out docs for st.bokeh_chart
  • ⚡️ Improved the size and load time of saved apps
  • ⚾️ Implemented better error-catching throughout the codebase