Key differences

  • SciencePlots has 312× as many GitHub stars as syd (9.4K vs 30).
  • syd had more development activity over the last 12 months: 12 commits vs 10.
  • SciencePlots is downloaded 771× as often on PyPI (44.7K vs 58 per week).
  • SciencePlots is licensed under MIT; syd under GPL-3.0.
  • SciencePlots is the older project: its repository was created in 2018, syd's in 2025.

By the numbers

  • SciencePlots
  • syd
GitHub stars
9.4K 30
PyPI downloads / week
44.7K 58
Commits, last 12 months
10 12
Contributors
13 1
Forks
823 0
Show data as a table
SciencePlots vs syd by the numbers
MetricSciencePlotssyd
GitHub stars9,35530
PyPI downloads / week44,73558
Commits, last 12 months1012
Contributors131
Forks8230

Development activity

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

  • SciencePlots
  • syd
0246 Nov 2025 Dec Jan 2026 Feb Mar Apr May Jun Jul Aug Sep Oct
0246 Nov 2025 Feb 2026 May Aug
Show data as a table
SciencePlots vs syd: commits per month
MonthSciencePlotssyd
Nov 202540
Dec 202500
Jan 202620
Feb 202614
Mar 202602
Apr 202600
May 202600
Jun 202630
Jul 202600
Aug 202606
Sep 202600
Oct 202600

Side by side

AttributeSciencePlotssyd
DescriptionMatplotlib styles for scientific figures and journal publications.A package for making GUIs around matplotlib figures easy, fast, and streamlined.
CategoryMatplotlib extensionsMatplotlib extensions
LicenseMITGPL-3.0
LanguagePythonPython
StatusMaintainedActive
Latest release2.2.2 ()v1.3.2 ()
Last commit
Repository created
Open issues71
Install
pip install SciencePlots
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.

  • SciencePlots

    Matplotlib styles for scientific figures and journal publications.

    9.4K starsPythonMIT

  • syd

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

    30 starsPythonGPL-3.0

More comparisons