Key differences

  • ydata-profiling has 2.6× as many GitHub stars as D-Tale (13.7K vs 5.2K).
  • D-Tale had more development activity over the last 12 months: 33 commits vs 14.
  • ydata-profiling is downloaded 19× as often on PyPI (153.6K vs 8.1K per week).
  • D-Tale is licensed under LGPL-2.1; ydata-profiling under MIT.
  • D-Tale is written primarily in TypeScript, ydata-profiling in Python.
  • ydata-profiling is the older project: its repository was created in 2016, D-Tale's in 2019.

By the numbers

  • D-Tale
  • ydata-profiling
GitHub stars
5.2K 13.7K
PyPI downloads / week
8.1K 153.6K
Commits, last 12 months
33 14
Contributors
26 115
Forks
448 1.8K
Show data as a table
D-Tale vs ydata-profiling by the numbers
MetricD-Taleydata-profiling
GitHub stars5,23613,746
PyPI downloads / week8,057153,612
Commits, last 12 months3314
Contributors26115
Forks4481,803

Development activity

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

  • D-Tale
  • ydata-profiling
051015 Nov 2025 Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep OctD-Taleydata-profi…
051015 Nov 2025 Feb 2026 May Aug D-Taleydata-profi…
Show data as a table
D-Tale vs ydata-profiling: commits per month
MonthD-Taleydata-profiling
Nov 202502
Dec 202511
Jan 202680
Feb 202670
Mar 2026112
Apr 202642
May 202620
Jun 202600
Jul 202600
Aug 202600
Sep 202601
Oct 202606

Side by side

AttributeD-Taleydata-profiling
DescriptionWeb-based visual explorer for pandas DataFrames with charts, summaries and correlations.Generates statistical analytic reports with visualization for quick data analysis (formerly pandas-profiling).
CategoryPython exploratory data analysis & profiling toolsPython exploratory data analysis & profiling tools
LicenseLGPL-2.1MIT
LanguageTypeScriptPython
StatusMaintainedActive
Latest releasev3.22.0 ()4.20.0 ()
Last commit
Repository created
Open issues63268
Install
pip install dtale
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.

  • D-Tale

    Web-based visual explorer for pandas DataFrames with charts, summaries and correlations.

    5.2K starsTypeScriptLGPL-2.1

  • ydata-profiling

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

    13.7K starsPythonMIT

More comparisons