benfred / implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Why this job: works in the areas we cover, but does not say which job it does
What it does
This project provides fast Python implementations of several different popular recommendation algorithms for implicit feedback datasets:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 6 months ago
- Stars
- 3,841
- +4 this week
- Licence
- MIT
- Allows business use
- Downloads for
- 2 systems
- Mac, Linux
- Latest version
- v0.7.3
- Released 6 months ago
- Built with
- Python
- 60% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 82% closed
- 90 still open
- Pull requests
- 211 merged
- 10 waiting
- Releases
- 8
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: download files, languages, topics and project record
Download files, v0.7.3
- Mac18 files, 829 downloads
- Linux12 files, 600 downloads
Languages
- Python 60%
- Cython 23%
- Cuda 11%
- C++ 4%
Topics
- collaborative-filtering
- machine-learning
- matrix-factorization
- recommender-system
- recommendation-system
- recommendation
Project record
- JobOther AI tools
- StatusListed
- Commits453
- Forks636
- Watching73
- Stars in 28 days+13
- CreatedApr 17, 2016
- First seen by usNov 7, 2026
- CheckedNov 8, 2026