Key differences

  • mpld3 has 80× as many GitHub stars as syd (2.4K vs 30).
  • syd had more development activity over the last 12 months: 12 commits vs 9.
  • mpld3 is downloaded 1628× as often on PyPI (94.4K vs 58 per week).
  • mpld3 is licensed under BSD-3-Clause; syd under GPL-3.0.
  • mpld3 is written primarily in Jupyter Notebook, syd in Python.
  • mpld3 is the older project: its repository was created in 2013, syd's in 2025.

By the numbers

  • mpld3
  • syd
GitHub stars
2.4K 30
PyPI downloads / week
94.4K 58
Commits, last 12 months
9 12
Contributors
48 1
Forks
365 0
Show data as a table
mpld3 vs syd by the numbers
Metricmpld3syd
GitHub stars2,41230
PyPI downloads / week94,42558
Commits, last 12 months912
Contributors481
Forks3650

Development activity

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

  • mpld3
  • syd
0246 Nov 2025 Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep Octmpld3syd
0246 Nov 2025 Feb 2026 May Aug mpld3syd
Show data as a table
mpld3 vs syd: commits per month
Monthmpld3syd
Nov 202550
Dec 202510
Jan 202620
Feb 202604
Mar 202602
Apr 202600
May 202600
Jun 202600
Jul 202600
Aug 202606
Sep 202600
Oct 202610

Side by side

Attributempld3syd
DescriptionRenders matplotlib figures as interactive D3.js graphics in the browser.A package for making GUIs around matplotlib figures easy, fast, and streamlined.
CategoryMatplotlib extensionsMatplotlib extensions
LicenseBSD-3-ClauseGPL-3.0
LanguageJupyter NotebookPython
StatusActiveActive
Latest release–v1.3.2 ()
Last commit
Repository created
Open issues2131
Install
pip install mpld3
pip install syd

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

  • syd

    A package for making GUIs around matplotlib figures easy, fast, and streamlined.

    30 starsPythonGPL-3.0

More comparisons