Key differences

  • Streamlit has 1.9× as many GitHub stars as Dash (45.9K vs 24.4K).
  • Streamlit had more development activity over the last 12 months: 2,413 commits vs 1,348.
  • Streamlit is downloaded 2.7× as often on PyPI (4.7M vs 1.7M per week).
  • Dash is licensed under MIT; Streamlit under Apache-2.0.
  • Dash is the older project: its repository was created in 2015, Streamlit's in 2019.

By the numbers

  • Dash
  • Streamlit
GitHub stars
24.4K 45.9K
PyPI downloads / week
1.7M 4.7M
Commits, last 12 months
1.3K 2.4K
Contributors
196 319
Forks
2.3K 4.4K
Show data as a table
Dash vs Streamlit by the numbers
MetricDashStreamlit
GitHub stars24,44145,895
PyPI downloads / week1,718,0774,656,116
Commits, last 12 months1,3482,413
Contributors196319
Forks2,3284,404

Development activity

Commits per month to each default branch, last 12 complete months.

  • Dash
  • Streamlit
0100200300 Oct 2025 Nov Dec Jan 2026 Feb Mar Apr May Jun Jul Aug SepDashStreamlit
0100200300 Oct 2025 Jan 2026 Apr Jul DashStreamlit
Show data as a table
Dash vs Streamlit: commits per month
MonthDashStreamlit
Oct 2025102125
Nov 2025120146
Dec 202595187
Jan 202691181
Feb 202684208
Mar 202693231
Apr 2026157156
May 2026169189
Jun 202698206
Jul 202671264
Aug 2026143246
Sep 2026125274

Side by side

AttributeDashStreamlit
DescriptionFramework for building data apps and dashboards in Python, built on Plotly.js and React.Framework for turning Python scripts into interactive data apps.
CategoryPython data visualization librariesPython data visualization libraries
LicenseMITApache-2.0
LanguagePythonPython
StatusActiveActive
Latest releasev4.4.1 ()1.65.0 ()
Last commit
Repository created
Open issues394985
Install
pip install dash
pip install streamlit

Which should you choose?

Popularity and activity are only part of the story. Consider which ecosystem you work in, the chart types and interactions you need, how much data you render, and whether the license fits your project. Both tool pages list alternatives if neither is quite right.

  • Dash

    Framework for building data apps and dashboards in Python, built on Plotly.js and React.

    24.4K starsPythonMIT

  • Streamlit

    Framework for turning Python scripts into interactive data apps.

    45.9K starsPythonApache-2.0

More comparisons