# PyGWalker

> Turns dataframes into a drag-and-drop visual analysis UI in Jupyter, based on Graphic Walker.

- Category: [Python data visualization libraries](https://awesomedataviz.com/categories/python/)
- Website: https://kanaries.net/pygwalker
- Repository: https://github.com/Kanaries/pygwalker
- License: Apache-2.0
- Language: Python
- Status: Active (commits in the last 90 days)
- GitHub stars: 15,983
- Commits in the last 12 months: 154
- Contributors: 26
- Last commit: Sep 5, 2026
- Latest release: 0.5.0.1 (Apr 4, 2026)
- Install (PyPI): `pip install pygwalker`, 29K downloads per week
- Topics: Jupyter & notebook visualization, Exploratory data analysis tools

## Overview

PyGWalker is an open-source Python visualization library released under the Apache-2.0 license. Its GitHub repository has 15,983 stars, 889 forks, and 26 contributors. It is actively developed with 154 commits in the last 12 months. The latest release, 0.5.0.1, was published on Apr 4, 2026. On PyPI it is downloaded about 29K times per week.

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