# D-Tale vs PyGWalker

## Key differences

- PyGWalker has 3.1× as many GitHub stars as D-Tale (16K vs 5.2K).
- PyGWalker had more development activity over the last 12 months: 154 commits vs 33.
- PyGWalker is downloaded 6.4× as often on PyPI (51.9K vs 8.1K per week).
- D-Tale is licensed under LGPL-2.1; PyGWalker under Apache-2.0.
- D-Tale is written primarily in TypeScript, PyGWalker in Python.
- D-Tale is the older project: its repository was created in 2019, PyGWalker's in 2023.

| | D-Tale | PyGWalker |
|---|---|---|
| Description | Web-based visual explorer for pandas DataFrames with charts, summaries and correlations. | Turns dataframes into a drag-and-drop visual analysis UI in Jupyter, based on Graphic Walker. |
| GitHub stars | 5,236 | 16,001 |
| Commits (12 months) | 33 | 154 |
| Contributors | 26 | 26 |
| License | LGPL-2.1 | Apache-2.0 |
| Language | TypeScript | Python |
| Status | Maintained | Active |
| Install | `pip install dtale` | `pip install pygwalker` |

Source: https://awesomedataviz.com/compare/d-tale-vs-pygwalker/ · Data updated 2026-11-01 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).