Assembly Line

PyGWalker

PyGWalker: Turn your dataframe into an interactive UI for visual analysis

PyGWalker is an open-source dataframes and notebooks project on GitHub under the Apache-2.0 license (permissive), with 16k stars. It is built with CPython, TypeScript, pandas and NumPy. Its last push was 2 months ago.

Stars
16k
License
Apache-2.0
Activity
Active
Latest release
0.5.0.1

Code on GitHub Website

Judgement

What it is
Developer tool
What it does
Turns a pandas or Polars DataFrame into a Tableau-like drag-and-drop chart builder inside Jupyter, Streamlit or other notebooks.
Adopt it when
Data analysts want to explore a DataFrame visually without writing plotting code.
Watch out
Large datasets slow the browser UI, and the company also pushes its paid AI products from the project.
Ready for
Usable
Runs as
Library
Built with
Python, TypeScript and pandas
How established
Established: started 3 years ago, latest release 0.5.0.1.
What the license allows
You can build it into a product you sell, as long as you keep its copyright notice.

Judged on 2026-11-06 from the project's README and GitHub data. The license and age lines are worked out directly.

Built from

Follow it down: PyGWalker → CPython → GCC → LLVM project → runs on a microchip

How compilers were built, back to punched paper tape

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Stars, license and activity come from GitHub and refresh on a rolling hourly schedule. The project's own description is quoted as written.