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selimfirat

selimfirat/pysad

PythonBSD-3-Clauseactivebeginner-friendly
88Health

Streaming anomaly detection in Python: 16 online detectors (xStream, LODA, RS-Hash, Half-Space Trees, RRCF…) plus calibration and prequential evaluation for real-time data.

Stars296
Forks46
Open Issues19
Contributors46
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
13
Popularity
25
#anomaly#anomaly-detection#fraud-detection#hacktoberfest#incremental-learning#intrusion-detection#machine-learning#online-learning#outlier-detection#outliers#python#python-library#real-time#streaming#streaming-data#time-series#time-series-anomaly-detection#unsupervised-learning
View on GitHub ↗Issues (19) ↗Pull Requests ↗

Should you contribute to selimfirat/pysad?

selimfirat/pysad has a FoundDev health score of 88/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.

Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.

Licensed under BSD-3-Clause, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

selimfirat
selimfirat/pysad
PythonBSD 3
88

Streaming anomaly detection in Python: 16 online detectors (xStream, LODA, RS-Hash, Half-Space Trees, RRCF…) plus calibration and prequential evaluation for real-time data.

activebeginner-friendly
★ 29646 contributors19 issues
0d ago

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