nla-group / classix
Fast and explainable clustering in Python
Why this job: works in the areas we cover, but does not say which job it does
What it does
CLASSIX is a fast, memory-efficient, and explainable clustering algorithm. Here are a few highlights:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 18 days ago
- Stars
- 131
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.5.3
- Released 3 months ago
- Built with
- Python
- 84% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 94% closed
- 1 still open
- Pull requests
- 14 merged
- 0 waiting
- Releases
- 32
- 7 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 84%
- Cython 14%
- C++ 1%
- Shell <1%
Topics
- algorithm
- classification
- clustering
- cython
- data-analysis
- data-mining
- data-science
- machine-learning
- unsupervised-learning
- unsupervised-machine-learning
Project record
- JobOther AI tools
- StatusListed
- Commits1,666
- Forks13
- Watching4
- Stars in 28 days0
- CreatedSep 11, 2021
- First seen by usNov 7, 2026
- CheckedNov 8, 2026