Data compression

Building a data compression ecosystem

Compression algorithms are used in a vast number of protocols and file formats throughout all of computing. Implemented in C, these libraries encounter regular security issues despite receiving extensive industry-wide scrutiny.

Our initiative aims to create memory-safe implementations of compression libraries:

  • zlib: a widely-used compression library, used primarily on the web to provide gzip compression to the text/html/js/css we send around.
  • bzip2: a file compression program that is widely deployed and supported e.g. as part of zip.
  • xz: a compression format that provides very good compression, but is comparatively slow. Commonly used for large file downloads.
  • zstd: a modern successor to zlib, providing better compression faster.

What We've Done

For zlib, we've created an initial implementation based on zlib-ng, called zlib-rs, with a focus on maintaining excellent performance while introducing memory safety. The initial development of zlib-rs was started and partly funded by Prossimo.

In April 2024, an early release of zlib-rs was integrated in flate2.

The development of bzip2 started Oct 2024.

What's Next

We're currently seeking funding to complete work necessary to make the initial implementation of zlib ready for production and to start work on xz and zstd.

The high level goals for the four projects are:

  • provide on-par performance with C/C++ counterparts
  • provide a dynamic library that is a drop-in replacement, but has compiled memory-safe rust code inside
  • dramatically reduce attack surface through memory safety, improved tooling and a robust build system
  • provide a pure rust implementation to rust users that integrates with the existing ecosystem

Project status "Data compression"

statusfunding targetfunded
in progress€ 495.00012%

Work plan

For per project details, see the workplan.

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