Key differences

  • ydata-profiling has 3.3× as many GitHub stars as missingno (13.7K vs 4.2K).
  • ydata-profiling had more development activity over the last 12 months: 14 commits vs 0.
  • ydata-profiling is downloaded 2.3× as often on PyPI (153.6K vs 67.8K per week).
  • Both are released under the MIT license.
  • missingno has had no commits since Feb 26, 2023.

By the numbers

  • missingno
  • ydata-profiling
GitHub stars
4.2K 13.7K
PyPI downloads / week
67.8K 153.6K
Commits, last 12 months
0 14
Contributors
16 115
Forks
519 1.8K
Show data as a table
missingno vs ydata-profiling by the numbers
Metricmissingnoydata-profiling
GitHub stars4,21213,746
PyPI downloads / week67,765153,612
Commits, last 12 months014
Contributors16115
Forks5191,803

Development activity

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

  • missingno
  • ydata-profiling
0246 Nov 2025 Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep Octmissingnoydata-profi…
0246 Nov 2025 Feb 2026 May Aug missingnoydata-profi…
Show data as a table
missingno vs ydata-profiling: commits per month
Monthmissingnoydata-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

Attributemissingnoydata-profiling
DescriptionProvides flexible toolset of data-visualization utilities that allows quick visual summary of the completeness of your dataset, based on matplotlib.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
LanguagePythonPython
StatusInactiveActive
Latest release0.5.2 ()4.20.0 ()
Last commit
Repository created
Open issues13268
Install
pip install missingno
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.

  • missingno

    Provides flexible toolset of data-visualization utilities that allows quick visual summary of the completeness of your dataset, based on matplotlib.

    4.2K starsPythonMIT

  • ydata-profiling

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

    13.7K starsPythonMIT

More comparisons