bamler-lab / constriction
Entropy coders for research and production in Python and Rust.
Why this job: works in the areas we cover, but does not say which job it does
What it does
The constriction library provides a set of composable entropy coding algorithms with a focus on correctness, versatility, ease of use, compression performance, and computational efficiency. The goals of constriction are three-fold:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 months ago
- Stars
- 111
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- 2 systems
- Mac, Linux
- Latest version
- v0.5.0
- Released 3 months ago
- Built with
- Rust
- 86% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 91% closed
- 1 still open
- Pull requests
- 59 merged
- 1 waiting
- Releases
- 23
- 2 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: download files, languages, topics and project record
Download files, v0.5.0
- Mac15 files, 78 downloads
- Linux5 files, 30 downloads
Languages
- Rust 86%
- Python 14%
- Handlebars <1%
- Linker Script <1%
Topics
- compression
- compression-codecs
- compression-methods
- data-science
- entropy-coding
- entropy-models
- machine-learning
- python-api
- rust
Project record
- JobOther AI tools
- StatusListed
- Commits615
- Forks7
- Watching1
- Stars in 28 days+1
- CreatedDec 28, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026