D-Tale vs PyGWalker
A data-driven comparison of two Python exploratory data analysis & profiling tools: popularity, development activity, licensing and installation. Updated .
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.
By the numbers
- D-Tale
- PyGWalker
Show data as a table
| Metric | D-Tale | PyGWalker |
|---|---|---|
| GitHub stars | 5,236 | 16,001 |
| PyPI downloads / week | 8,057 | 51,921 |
| Commits, last 12 months | 33 | 154 |
| Contributors | 26 | 26 |
| Forks | 448 | 893 |
Development activity
Commits per month to each default branch, last 12 complete months.
- D-Tale
- PyGWalker
Show data as a table
| Month | D-Tale | PyGWalker |
|---|---|---|
| Nov 2025 | 0 | 3 |
| Dec 2025 | 1 | 7 |
| Jan 2026 | 8 | 0 |
| Feb 2026 | 7 | 1 |
| Mar 2026 | 11 | 4 |
| Apr 2026 | 4 | 1 |
| May 2026 | 2 | 0 |
| Jun 2026 | 0 | 134 |
| Jul 2026 | 0 | 3 |
| Aug 2026 | 0 | 0 |
| Sep 2026 | 0 | 1 |
| Oct 2026 | 0 | 0 |
Side by side
| Attribute | 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. |
| Category | Python exploratory data analysis & profiling tools | Python exploratory data analysis & profiling tools |
| License | LGPL-2.1 | Apache-2.0 |
| Language | TypeScript | Python |
| Status | Maintained | Active |
| Latest release | v3.22.0 () | 0.5.0.1 () |
| Last commit | ||
| Repository created | ||
| Open issues | 63 | 64 |
| Install | pip install dtale | pip install pygwalker |
Which should you choose?
Popularity and activity are only part of the story. Consider which ecosystem you work in, the chart types and interactions you need, how much data you render, and whether the license fits your project. Both tool pages list alternatives if neither is quite right.