Key differences

  • mpld3 has 7.2× as many GitHub stars as Quibbler (2.4K vs 333).
  • mpld3 had more development activity over the last 12 months: 9 commits vs 0.
  • mpld3 is downloaded 5902× as often on PyPI (94.4K vs 16 per week).
  • mpld3 is licensed under BSD-3-Clause; Quibbler under MIT.
  • mpld3 is written primarily in Jupyter Notebook, Quibbler in Python.
  • mpld3 is the older project: its repository was created in 2013, Quibbler's in 2021.
  • Quibbler has had no commits since Aug 29, 2025.

By the numbers

  • mpld3
  • Quibbler
GitHub stars
2.4K 333
PyPI downloads / week
94.4K 16
Commits, last 12 months
9 0
Contributors
48 5
Forks
365 8
Show data as a table
mpld3 vs Quibbler by the numbers
Metricmpld3Quibbler
GitHub stars2,412333
PyPI downloads / week94,42516
Commits, last 12 months90
Contributors485
Forks3658

Development activity

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

  • mpld3
  • Quibbler
0246 Nov 2025 Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep Octmpld3Quibbler
0246 Nov 2025 Feb 2026 May Aug mpld3Quibbler
Show data as a table
mpld3 vs Quibbler: commits per month
Monthmpld3Quibbler
Nov 202550
Dec 202510
Jan 202620
Feb 202600
Mar 202600
Apr 202600
May 202600
Jun 202600
Jul 202600
Aug 202600
Sep 202600
Oct 202610

Side by side

Attributempld3Quibbler
DescriptionRenders matplotlib figures as interactive D3.js graphics in the browser.Your data and anything you plot is effortlessly live and interactive.
CategoryMatplotlib extensionsMatplotlib extensions
LicenseBSD-3-ClauseMIT
LanguageJupyter NotebookPython
StatusActiveInactive
Latest release–1.0.1 ()
Last commit
Repository created
Open issues21323
Install
pip install mpld3
pip install pyquibbler

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.

  • mpld3

    Renders matplotlib figures as interactive D3.js graphics in the browser.

    2.4K starsJupyter NotebookBSD-3-Clause

  • Quibbler

    Your data and anything you plot is effortlessly live and interactive.

    333 starsPythonMIT

More comparisons