---
id: zopfli
version: "0.4.3"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# zopfli — Zopfli module for python

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install zopfli
uv add zopfli
poetry add zopfli

## Description

|Build Status|

PYZOPFLI
========

cPython bindings for
`zopfli <http://googledevelopers.blogspot.com/2013/02/compress-data-more-densely-with-zopfli.html>`__.

It requires Python 3.10 or greater.

USAGE
=====

pyzopfli is a straight forward wrapper around zopfli's ZlibCompress method.

::

    from zopfli.zlib import compress
    from zlib import decompress
    s = 'Hello World'
    print decompress(compress(s))

pyzopfli also wraps GzipCompress, but the API point does not try to
mimic the gzip module.

::

    from zopfli.gzip import compress 
    from StringIO import StringIO
    from gzip import GzipFile
    print GzipFile(fileobj=StringIO(compress("Hello World!"))).read()

Both zopfli.zlib.compress and zopfli.gzip.compress support the following
keyword arguments. All values should be integers; boolean parmaters are
treated as expected, 0 and >0 as false and true.

-  *verbose* dumps zopfli debugging data to stderr

-  *numiterations* Maximum amount of times to rerun forward and backward
   pass to optimize LZ77 compression cost. Good values: 10, 15 for small
   files, 5 for files over several MB in size or it will be too slow.

-  *blocksplitting* If true, splits the data...

## AI interpretation — verify before relying

Zopfli provides Python bindings to Google's Zopfli compression library, enabling denser gzip and zlib compression than standard algorithms at the cost of slower encoding.

Verdict: Zopfli is a well-maintained, actively developed compression library with broad platform support and no security vulnerabilities. The Apache-2.0 license is permissive. Install friction is moderate due to the Python 3.10+ requirement and precompiled-wheel dependency, but wheels are widely available. Suitable for projects prioritizing compression ratio over encoding speed.

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