napari
Fast, interactive viewer for multi-dimensional images in Python.
- Active
- BSD-3-Clause
- Python
- Python data visualization libraries
- GitHub stars
- 2.8K
- PyPI downloads / week
- 27.2K
- Commits, last 12 months
- 641
- Contributors
- 220
- Last commit
- Latest release
- v0.9.2Sep 29, 2026
Overview
napari is an open-source Python visualization library released under the BSD-3-Clause license. Its GitHub repository has 2,771 stars, 548 forks, and 220 contributors. It is actively developed with 641 commits in the last 12 months. The latest release, v0.9.2, was published on Sep 29, 2026. On PyPI it is downloaded about 27.2K times per week.
Its GitHub description: napari: a fast, interactive, multi-dimensional image viewer for python
GitHub topics: naparinumpyvisualizationpython
Install
Development activity
Commits per month to the default branch over the last 12 complete months.
Show data as a table
| Month | Commits |
|---|---|
| Oct 2025 | 28 |
| Nov 2025 | 11 |
| Dec 2025 | 45 |
| Jan 2026 | 53 |
| Feb 2026 | 54 |
| Mar 2026 | 55 |
| Apr 2026 | 60 |
| May 2026 | 43 |
| Jun 2026 | 52 |
| Jul 2026 | 114 |
| Aug 2026 | 76 |
| Sep 2026 | 50 |
Popularity among Python data visualization libraries
Show data as a table
| Tool | Stars |
|---|---|
| Streamlit | 45,895 |
| Dash | 24,441 |
| Matplotlib | 23,323 |
| Bokeh | 20,455 |
| Taipy | 19,443 |
| Plotly (Python) | 18,822 |
| napari | 2,771 |
Alternatives to napari
-
Streamlit
Framework for turning Python scripts into interactive data apps.
-
Dash
Framework for building data apps and dashboards in Python, built on Plotly.js and React.
-
Matplotlib
2D plotting library.
-
Bokeh
Interactive Web Plotting for Python.
-
Taipy
Python framework for building data and AI web applications with interactive charts and dashboards.
-
Plotly (Python)
Interactive web based visualization built on top of plotly.js
napari FAQ
Is napari open source?
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pip install napari.What are the best alternatives to napari?
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Data: GitHub API, PyPI. Updated Oct 4, 2026.