Quibbler vs SciencePlots
A data-driven comparison of two Matplotlib extensions: popularity, development activity, licensing and installation. Updated .
QuibblerYour data and anything you plot is effortlessly live and interactive.
SciencePlotsMatplotlib styles for scientific figures and journal publications.
Key differences
- SciencePlots has 28× as many GitHub stars as Quibbler (9.4K vs 333).
- SciencePlots had more development activity over the last 12 months: 10 commits vs 0.
- SciencePlots is downloaded 2796× as often on PyPI (44.7K vs 16 per week).
- Both are released under the MIT license.
- SciencePlots is the older project: its repository was created in 2018, Quibbler's in 2021.
- Quibbler has had no commits since Aug 29, 2025.
By the numbers
- Quibbler
- SciencePlots
Show data as a table
| Metric | Quibbler | SciencePlots |
|---|---|---|
| GitHub stars | 333 | 9,355 |
| PyPI downloads / week | 16 | 44,735 |
| Commits, last 12 months | 0 | 10 |
| Contributors | 5 | 13 |
| Forks | 8 | 823 |
Development activity
Commits per month to each default branch, last 12 complete months.
- Quibbler
- SciencePlots
Show data as a table
| Month | Quibbler | SciencePlots |
|---|---|---|
| Nov 2025 | 0 | 4 |
| Dec 2025 | 0 | 0 |
| Jan 2026 | 0 | 2 |
| Feb 2026 | 0 | 1 |
| Mar 2026 | 0 | 0 |
| Apr 2026 | 0 | 0 |
| May 2026 | 0 | 0 |
| Jun 2026 | 0 | 3 |
| Jul 2026 | 0 | 0 |
| Aug 2026 | 0 | 0 |
| Sep 2026 | 0 | 0 |
| Oct 2026 | 0 | 0 |
Side by side
| Attribute | Quibbler | SciencePlots |
|---|---|---|
| Description | Your data and anything you plot is effortlessly live and interactive. | Matplotlib styles for scientific figures and journal publications. |
| Category | Matplotlib extensions | Matplotlib extensions |
| License | MIT | MIT |
| Language | Python | Python |
| Status | Inactive | Maintained |
| Latest release | 1.0.1 () | 2.2.2 () |
| Last commit | ||
| Repository created | ||
| Open issues | 23 | 7 |
| Install | pip install pyquibbler | pip install SciencePlots |
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.
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Quibbler
Your data and anything you plot is effortlessly live and interactive.
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SciencePlots
Matplotlib styles for scientific figures and journal publications.