NicolasHug / Surprise
A Python scikit for building and analyzing recommender systems
Why this job: matched by what the repo talks about: system, build
What it does
Surprise is a Python scikit for building and analyzing recommender systems that deal with explicit rating data.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 6,828
- +3 this week
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 77% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 82% closed
- 70 still open
- Pull requests
- 69 merged
- 12 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 77%
- Cython 23%
- Shell <1%
Topics
- recommender
- systems
- recommendation
- svd
- matrix
- factorization
- machine-learning
Project record
- JobAgent frameworks
- StatusListed
- Commits661
- Forks1,052
- Watching133
- Stars in 28 days+10
- CreatedOct 23, 2016
- First seen by usNov 7, 2026
- CheckedNov 8, 2026