selimfirat / pysad
Streaming anomaly detection in Python: online detectors (xStream, LODA, RS-Hash, Half-Space Trees, RRCF…) plus calibration and prequential evaluation for real-time data.
Why this job: matched by what the repo talks about: evaluation, data, real, anomaly
What it does
Streaming anomaly detection in Python. PySAD scores each data point when it arrives, with streaming detectors, calibrated alerts and streaming evaluation.
Get started
pip install pysad- Maintenance
- Active
- Last commit today
- Stars
- 319
- +2 this week
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.8.0
- Released 4 days ago
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- 7
- Last 90 days
- Issues
- 94% closed
- 13 still open
- Pull requests
- 425 merged
- 16 waiting
- Releases
- 14
- 6 in the last year
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More: languages, topics and project record
Languages
- Python 99%
- Jupyter Notebook 1%
- Shell <1%
Topics
- anomaly-detection
- outlier-detection
- incremental-learning
- streaming-data
- anomaly
- python
- machine-learning
- outliers
- unsupervised-learning
- real-time
- intrusion-detection
- fraud-detection
Project record
- JobEvals and observability
- StatusListed
- Commits770
- Forks89
- Watching4
- Stars in 28 days+23
- CreatedJun 5, 2020
- First seen by usNov 7, 2026
- CheckedNov 12, 2026