# napari

> Fast, interactive viewer for multi-dimensional images in Python.

- Category: [Python data visualization libraries](https://awesomedataviz.com/categories/python/)
- Website: https://napari.org
- Repository: https://github.com/napari/napari
- License: BSD-3-Clause
- Language: Python
- Status: Active (commits in the last 90 days)
- GitHub stars: 2,771
- Commits in the last 12 months: 641
- Contributors: 220
- Last commit: Oct 3, 2026
- Latest release: v0.9.2 (Sep 29, 2026)
- Install (PyPI): `pip install napari`, 27.2K downloads per week

## 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.

## Alternatives

- [Streamlit](https://awesomedataviz.com/tools/streamlit/): Framework for turning Python scripts into interactive data apps. (45.9K stars)
- [Dash](https://awesomedataviz.com/tools/dash/): Framework for building data apps and dashboards in Python, built on Plotly.js and React. (24.4K stars)
- [Matplotlib](https://awesomedataviz.com/tools/matplotlib/): 2D plotting library. (23.3K stars)
- [Bokeh](https://awesomedataviz.com/tools/bokeh/): Interactive Web Plotting for Python. (20.5K stars)
- [Taipy](https://awesomedataviz.com/tools/taipy/): Python framework for building data and AI web applications with interactive charts and dashboards. (19.4K stars)
- [Plotly (Python)](https://awesomedataviz.com/tools/plotly-python/): Interactive web based visualization built on top of plotly.js (18.8K stars)

Source: https://awesomedataviz.com/tools/napari/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).
