Key differences

  • napari has 1.2× as many GitHub stars as vedo (2.8K vs 2.3K).
  • napari had more development activity over the last 12 months: 745 commits vs 284.
  • napari is downloaded 4.4× as often on PyPI (34.7K vs 7.9K per week).
  • napari is licensed under BSD-3-Clause; vedo under MIT.

By the numbers

  • napari
  • vedo
GitHub stars
2.8K 2.3K
PyPI downloads / week
34.7K 7.9K
Commits, last 12 months
745 284
Contributors
228 41
Forks
569 278
Show data as a table
napari vs vedo by the numbers
Metricnaparivedo
GitHub stars2,7912,274
PyPI downloads / week34,6877,913
Commits, last 12 months745284
Contributors22841
Forks569278

Development activity

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

  • napari
  • vedo
050100150 Nov 2025 Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep Octnaparivedo
050100150 Nov 2025 Feb 2026 May Aug naparivedo
Show data as a table
napari vs vedo: commits per month
Monthnaparivedo
Nov 2025110
Dec 2025451
Jan 2026531
Feb 202654108
Mar 20265518
Apr 202660103
May 20264322
Jun 2026522
Jul 20261146
Aug 2026762
Sep 2026500
Oct 202613221

Side by side

Attributenaparivedo
DescriptionFast, interactive viewer for multi-dimensional images in Python.Library for scientific analysis and visualization of 3D objects based on VTK.
CategoryPython 3D & scientific visualization librariesPython 3D & scientific visualization libraries
LicenseBSD-3-ClauseMIT
LanguagePythonPython
StatusActiveActive
Latest releasev0.10.0 ()v2026.6.3 ()
Last commit
Repository created
Open issues1,091170
Install
pip install napari
pip install vedo

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.

  • napari

    Fast, interactive viewer for multi-dimensional images in Python.

    2.8K starsPythonBSD-3-Clause

  • vedo

    Library for scientific analysis and visualization of 3D objects based on VTK.

    2.3K starsPythonMIT

More comparisons