GitHub stars
1.8K
PyPI downloads / week
58K
Commits, last 12 months
217
Contributors
48
Last commit
Latest release
v1.8.0Sep 13, 2026

Overview

Shiny for Python is an open-source Python visualization library released under the MIT license. Its GitHub repository has 1,756 stars, 138 forks, and 48 contributors. It is actively developed with 217 commits in the last 12 months. The latest release, v1.8.0, was published on Sep 13, 2026. On PyPI it is downloaded about 58K times per week.

Its GitHub description: Shiny for Python

Install

PyPI
pip install shiny
v1.8.0

Development activity

Commits per month to the default branch over the last 12 complete months.

050100 Oct 2025 Nov Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep
050100 Oct 2025 Jan 2026 Apr Jul
217 commits from Oct 2025 to Sep 2026.
Show data as a table
Shiny for Python commits per month
MonthCommits
Oct 20253
Nov 20255
Dec 20255
Jan 20267
Feb 20267
Mar 202611
Apr 202616
May 202619
Jun 20266
Jul 202678
Aug 202639
Sep 202621

Popularity among Python data visualization libraries

GitHub stars for Shiny for Python and the most-starred alternatives.
Show data as a table
GitHub stars
ToolStars
Streamlit45,895
Dash24,441
Matplotlib23,323
Bokeh20,455
Taipy19,443
Plotly (Python)18,822
Shiny for Python1,756

Alternatives to Shiny for Python

  • Streamlit

    Framework for turning Python scripts into interactive data apps.

    45.9K starsPythonApache-2.0Shiny for Python vs Streamlit

  • Dash

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

    24.4K starsPythonMIT

  • Matplotlib

    2D plotting library.

    23.3K starsPythonPSF-2.0

  • Bokeh

    Interactive Web Plotting for Python.

    20.5K starsTypeScriptBSD-3-Clause

  • Taipy

    Python framework for building data and AI web applications with interactive charts and dashboards.

    19.4K starsPythonApache-2.0

  • Plotly (Python)

    Interactive web based visualization built on top of plotly.js

    18.8K starsPythonMIT

More comparisons: Shiny for Python vs Streamlit

Shiny for Python FAQ

Is Shiny for Python open source?

Yes. Shiny for Python is released under the MIT license, and its source code is on GitHub.

Is Shiny for Python still maintained?

Yes. Shiny for Python is actively developed, with 217 commits in the last 12 months and the latest commit 2 days ago.

How do I install Shiny for Python?

From PyPI: pip install shiny.

What are the best alternatives to Shiny for Python?

The most popular alternatives listed in Python data visualization libraries are Streamlit, Dash, and Matplotlib. See the full ranking.

What language is Shiny for Python written in?

Shiny for Python is primarily written in Python, according to GitHub.

Data: GitHub API, PyPI. Updated Oct 4, 2026.