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PyOD

Provides implementations of over 30 outlier/anomaly detection algorithms, all with a common interface.

Website	N/A
Repository	https://github.com/yzhao062/pyod
Byline	A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
License	BSD
Project age	5 years 2 months
Backers	Personal Project (Creator and maintainer)
Lastest News (2022-04-23)	v1.0.0 Add KDE detector; Disable the bias term in DeepSVDD; Fix a set of issues of autoencoders; Add sampling based detector. more
Size score (1 to 10, higher is better)	2.75
Trend score (1 to 10, higher is better)	8.75

Education Resources

URL	Resource Type	Description
https://pyod.readthedocs.io/en/latest/	Documentation	Official project documentation.
https://www.jmlr.org/papers/volume20/19-011/19-011.pdf	Paper	Paper in Journal of Machine Learning Reseach describing PyOD

Git Commit Statistics

Statistics computed using Git data through November 30, 2022.

Statistic	Lifetime	Last 12 Months
Commits	7,718	1,020
Lines committed	1,020,716	146,483
Unique committers	51	17
Core committers	11	10

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