yzhao062 / pyod
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
Why this job: says: benchmark
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 12 days ago
- Stars
- 10,081
- +12 this week
- Licence
- BSD-2-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v3.6.7
- Released 28 days ago
- Built with
- Python
- 94% of the code
Is it looked after?
- Contributors
- 11
- Last 90 days
- Issues
- 50% closed
- 195 still open
- Pull requests
- 248 merged
- 32 waiting
- Releases
- 64
- 21 in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
More: languages, topics and project record
Languages
- Python 94%
- Jupyter Notebook 6%
Topics
- outlier-detection
- anomaly-detection
- outlier-ensembles
- machine-learning
- data-mining
- unsupervised-learning
- fraud-detection
- deep-learning
- data-science
- novelty-detection
- out-of-distribution-detection
- foundation-models
Project record
- JobEvals and observability
- StatusListed
- Commits2,137
- Forks1,521
- Watching142
- Stars in 28 days+62
- CreatedOct 3, 2017
- First seen by usNov 7, 2026
- CheckedNov 9, 2026