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Dataplot vs Pingouin

Both stand on statistical analysis software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Dataplot

Free plan LinuxMacWindows

Choose Dataplot if you need a free desktop tool for scientific and engineering analysis, with statistical methods, modeling, and graphics in one system. It is a stronger fit for users comfortable with its command language and platform specific installation steps. Look elsewhere if you need a native mobile installation or guaranteed official support.

Visit Dataplot

Pingouin

Free plan Linux

Pingouin offers a broad set of statistical functions within a Python and Pandas-oriented package. Its own development warning makes independent result checking important.

Visit Pingouin

The facts

DataplotPingouin
Free planYesYes
Open sourceNot publishedNot published
Runs onLinux, Mac, WindowsLinux
Lowest paid planFree or on requestFree or on request
Plans published11
MakerDataplotNot published
Websiteitl.nist.govpingouin-stats.org
On statistical analysis software#16 of 109#22 of 109

Dataplot: what it does well

  • Free public-domain software for Windows, Linux/Unix, and macOS.
  • Covers statistical tests, regression, time-series, reliability, and process control.
  • Supports 2D, 3D, contour, and multi-plot graphics.
  • Imports delimited text, limited Fortran binary, and Excel workbooks.
  • Can be extended with macros, GUI menu changes, or source changes.

What to know first

  • The graphical interface requires Tcl/Tk installed separately.
  • Linux/Unix and macOS distributions must be built from source.
  • Native smartphone and tablet installations are not provided.
  • Official support is not guaranteed and prioritizes NIST staff.

Pingouin: what it does well

  • Free and open-source under GPL-3.0.
  • Offers linear and logistic regression functions.
  • Provides power analysis and effect sizes.
  • Some analyses work as Pandas DataFrame methods.
  • Installable through uv, pip, or conda.

What to know first

  • Project says it remains under development.
  • Documentation warns bugs may exist.
  • The project provides no warranty.

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