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Discover/Data Visualization
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Best Python Data Visualization Libraries

Libraries for creating charts, graphs, dashboards, and visual data representations.

24 packages · ranked by health score & downloads

Trending this week

↑ pillow↑ PyMuPDF↑ PyMuPDF↑ pypdfium2↑ plotly
#1pillowv12.2.0↑
85

Python Imaging Library (fork)

361.8M/moMIT-CMU★ 13.6K
#2matplotlibv3.11.0
88

Python plotting package

180.5M/moApache-2.0★ 22.9K
#3fonttoolsv4.63.0
86

Tools to manipulate font files

182.9M/moMIT★ 5.1K
#4PyMuPDFv1.28.0↑
98

A high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

70.0M/moCustom★ 10.1K
#5PyMuPDFv1.28.0↑
98

A high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

70.0M/moCustom★ 9.9K
#6contourpyv1.3.3
79

Python library for calculating contours of 2D quadrilateral grids

158.2M/moBSD-3-Clause★ 108
#7pypdfium2v5.11.0↑
88

Python bindings to PDFium

43.5M/moApache-2.0★ 787
#8plotlyv6.8.0↑
83
← All categoriesSearch data visualization packages →

An open-source interactive data visualization library for Python

48.2M/moMIT★ 18.6K
#9matplotlib-inlinev0.2.2↓
65

Inline Matplotlib backend for Jupyter

106.3M/moBSD-3-Clause★ 31
#10graphvizv0.21↑
78

Simple Python interface for Graphviz

38.7M/moMIT★ 1.8K
#11pymupdf-layoutv1.28.0↑
95

PyMuPDF Layout turns PDFs into structured data 10× faster than vision-based tools using AI trained on PDF internals, not images. CPU-only. N

16.2M/moCustom

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