D-Tale vs LIDA
A data-driven comparison of two Python exploratory data analysis & profiling tools: popularity, development activity, licensing and installation. Updated .
Key differences
- D-Tale has 1.6× as many GitHub stars as LIDA (5.2K vs 3.3K).
- D-Tale had more development activity over the last 12 months: 33 commits vs 0.
- D-Tale is downloaded 32× as often on PyPI (8.1K vs 250 per week).
- D-Tale is licensed under LGPL-2.1; LIDA under MIT.
- D-Tale is written primarily in TypeScript, LIDA in Jupyter Notebook.
- D-Tale is the older project: its repository was created in 2019, LIDA's in 2023.
- LIDA has had no commits since Mar 3, 2024.
By the numbers
- D-Tale
- LIDA
Show data as a table
| Metric | D-Tale | LIDA |
|---|---|---|
| GitHub stars | 5,236 | 3,288 |
| PyPI downloads / week | 8,057 | 250 |
| Commits, last 12 months | 33 | 0 |
| Contributors | 26 | 14 |
| Forks | 448 | 381 |
Development activity
Commits per month to each default branch, last 12 complete months.
- D-Tale
- LIDA
Show data as a table
| Month | D-Tale | LIDA |
|---|---|---|
| Nov 2025 | 0 | 0 |
| Dec 2025 | 1 | 0 |
| Jan 2026 | 8 | 0 |
| Feb 2026 | 7 | 0 |
| Mar 2026 | 11 | 0 |
| Apr 2026 | 4 | 0 |
| May 2026 | 2 | 0 |
| Jun 2026 | 0 | 0 |
| Jul 2026 | 0 | 0 |
| Aug 2026 | 0 | 0 |
| Sep 2026 | 0 | 0 |
| Oct 2026 | 0 | 0 |
Side by side
| Attribute | D-Tale | LIDA |
|---|---|---|
| Description | Web-based visual explorer for pandas DataFrames with charts, summaries and correlations. | Generates visualizations and infographics from data with large language models, from Microsoft. |
| Category | Python exploratory data analysis & profiling tools | Python exploratory data analysis & profiling tools |
| License | LGPL-2.1 | MIT |
| Language | TypeScript | Jupyter Notebook |
| Status | Maintained | Inactive |
| Latest release | v3.22.0 () | – |
| Last commit | ||
| Repository created | ||
| Open issues | 63 | 79 |
| Install | pip install dtale | pip install lida |
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.