Matplotlib vs Taipy
A data-driven comparison of two Python data visualization libraries: popularity, development activity, licensing and installation. Updated .
Matplotlib2D plotting library.
TaipyPython framework for building data and AI web applications with interactive charts and dashboards.
Key differences
- Matplotlib has 1.2× as many GitHub stars as Taipy (23.3K vs 19.4K).
- Matplotlib had more development activity over the last 12 months: 2,023 commits vs 69.
- Matplotlib is downloaded 44585× as often on PyPI (39.5M vs 887 per week).
- Matplotlib is licensed under PSF-2.0; Taipy under Apache-2.0.
- Matplotlib is the older project: its repository was created in 2011, Taipy's in 2022.
By the numbers
- Matplotlib
- Taipy
Show data as a table
| Metric | Matplotlib | Taipy |
|---|---|---|
| GitHub stars | 23,323 | 19,443 |
| PyPI downloads / week | 39,546,864 | 887 |
| Commits, last 12 months | 2,023 | 69 |
| Contributors | 438 | 78 |
| Forks | 8,503 | 1,992 |
Development activity
Commits per month to each default branch, last 12 complete months.
- Matplotlib
- Taipy
Show data as a table
| Month | Matplotlib | Taipy |
|---|---|---|
| Oct 2025 | 100 | 10 |
| Nov 2025 | 72 | 4 |
| Dec 2025 | 97 | 2 |
| Jan 2026 | 153 | 7 |
| Feb 2026 | 144 | 32 |
| Mar 2026 | 244 | 3 |
| Apr 2026 | 197 | 9 |
| May 2026 | 257 | 2 |
| Jun 2026 | 257 | 0 |
| Jul 2026 | 199 | 0 |
| Aug 2026 | 139 | 0 |
| Sep 2026 | 164 | 0 |
Side by side
| Attribute | Matplotlib | Taipy |
|---|---|---|
| Description | 2D plotting library. | Python framework for building data and AI web applications with interactive charts and dashboards. |
| Category | Python data visualization libraries | Python data visualization libraries |
| License | PSF-2.0 | Apache-2.0 |
| Language | Python | Python |
| Status | Active | Maintained |
| Latest release | v3.11.2 () | 4.1.1 () |
| Last commit | ||
| Repository created | ||
| Open issues | 1,059 | 200 |
| Install | pip install matplotlib | pip install taipy |
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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Matplotlib
2D plotting library.
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Taipy
Python framework for building data and AI web applications with interactive charts and dashboards.