Visualization libraries · NumFOCUS (Matplotlib Development Team)
Matplotlib
Python's foundational plotting library for static, publication-quality charts, from quick line plots to fully custom figures.
Matplotlib is a Python plotting library that has served as the foundation of the scientific Python visualization stack since the mid-2000s. Its object-oriented API (Figure, Axes) gives fine-grained control over every element of a chart — ticks, spines, annotations, layout — which makes it the tool of choice for publication-quality static figures in academic and scientific work. It is not built for interactivity by default, though its %matplotlib widget and web backends add basic zoom and pan. Most other Python plotting libraries, including seaborn and pandas' .plot() accessor, are built as higher-level wrappers around Matplotlib rather than replacements for it. It integrates tightly with NumPy arrays and Pandas DataFrames and renders directly inline in Jupyter notebooks.
At a glance
| Vendor | NumFOCUS (Matplotlib Development Team) |
|---|---|
| Pricing model | Open source + paid options |
| Free tier | Yes |
| Deployment | Self-hosted |
| Open source | Yes (Matplotlib License (BSD-compatible)) |
| Best for | Python users who need precise control over static, publication-quality charts. |
Pricing
Free, open-source project fiscally sponsored by NumFOCUS with no pricing page.
Pricing has not been verified yet — see the vendor's site.
Features
- Object-oriented Figure/Axes API
- Fine-grained control of every chart element
- Publication-quality static output (PNG, SVG, PDF)
- Wide range of plot types
- Tight NumPy and Pandas integration
- Inline rendering in Jupyter
Integrations
Profile last reviewed September 21, 2026