PyMuPDF

PyPI v1.27.2.2

16,884,374 weekly downloads · Dual Licensed - GNU AFFERO GPL 3.0 or Artifex Commercial License · 0 Dependencies

Recently publishedZero dependencies

Source data as of:

Summary

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

Install pip install PyMuPDF

Registry values

Reproduced verbatim from the official registry, with the source named on each value.

Weekly downloads 16,884,374 Source: PyPI (Python Package Index)
Releases 135 Last release: 2026-03-19 Source: PyPI (Python Package Index)
Dependencies 0 Source: PyPI (Python Package Index)

Description

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

Registry-supplied description, cleaned to plain text. Source: PyPI (Python Package Index).

Package details

Package
PyMuPDF
Registry
PyPI
Version
1.27.2.2
Weekly downloads
16,884,374 (weekly)
License
Dual Licensed - GNU AFFERO GPL 3.0 or Artifex Commercial License
Dependencies
0
Releases
135
Last release
2026-03-19
First published
2017-11-27
Repository
https://github.com/pymupdf/pymupdf

Why a field shows "—": A dash means the value is not published by the source registry for that package. Quanteta never fills in a guessed value — a missing field stays blank.

Derived indices (computation method published)

Quanteta-computed from the registry values below. This is a derived index, not a measured registry metric. See the formula on the Data & Sources page.

Q-Vitality Quanteta 69.6 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 12.4 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 19.1 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources