Key differences

  • ydata-profiling has 4.2× as many GitHub stars as LIDA (13.7K vs 3.3K).
  • ydata-profiling had more development activity over the last 12 months: 14 commits vs 0.
  • ydata-profiling is downloaded 614× as often on PyPI (153.6K vs 250 per week).
  • Both are released under the MIT license.
  • LIDA is written primarily in Jupyter Notebook, ydata-profiling in Python.
  • ydata-profiling is the older project: its repository was created in 2016, LIDA's in 2023.
  • LIDA has had no commits since Mar 3, 2024.

By the numbers

  • LIDA
  • ydata-profiling
GitHub stars
3.3K 13.7K
PyPI downloads / week
250 153.6K
Commits, last 12 months
0 14
Contributors
14 115
Forks
381 1.8K
Show data as a table
LIDA vs ydata-profiling by the numbers
MetricLIDAydata-profiling
GitHub stars3,28813,746
PyPI downloads / week250153,612
Commits, last 12 months014
Contributors14115
Forks3811,803

Development activity

Commits per month to each default branch, last 12 complete months.

  • LIDA
  • ydata-profiling
0246 Nov 2025 Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep OctLIDAydata-profi…
0246 Nov 2025 Feb 2026 May Aug LIDAydata-profi…
Show data as a table
LIDA vs ydata-profiling: commits per month
MonthLIDAydata-profiling
Nov 202502
Dec 202501
Jan 202600
Feb 202600
Mar 202602
Apr 202602
May 202600
Jun 202600
Jul 202600
Aug 202600
Sep 202601
Oct 202606

Side by side

AttributeLIDAydata-profiling
DescriptionGenerates visualizations and infographics from data with large language models, from Microsoft.Generates statistical analytic reports with visualization for quick data analysis (formerly pandas-profiling).
CategoryPython exploratory data analysis & profiling toolsPython exploratory data analysis & profiling tools
LicenseMITMIT
LanguageJupyter NotebookPython
StatusInactiveActive
Latest release–4.20.0 ()
Last commit
Repository created
Open issues79268
Install
pip install lida
pip install ydata-profiling

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.

  • LIDA

    Generates visualizations and infographics from data with large language models, from Microsoft.

    3.3K starsJupyter NotebookMIT

  • ydata-profiling

    Generates statistical analytic reports with visualization for quick data analysis (formerly pandas-profiling).

    13.7K starsPythonMIT

More comparisons