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PySAD is an open-source python framework for anomaly detection on streaming multivariate data.

Project description

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Python Streaming Anomaly Detection (PySAD)

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PySAD is an open-source python framework for anomaly detection on streaming multivariate data.

Installation

The PySAD framework can be installed via:

pip install -U pysad

Alternatively, you can install the library directly using the source code in Github repository by:

git clone https://github.com/selimfirat/pysad.git
cd pysad
pip install .

Required Dependencies:

  • numpy>=1.18.5

  • scipy>=1.4.1

  • scikit-learn>=0.23.2

  • pyod>=0.7.7.1

Optional Dependencies:

  • rrcf==0.4.3 (Only required for pysad.models.robust_random_cut_forest.RobustRandomCutForest)

  • PyNomaly==0.3.3 (Only required for pysad.models.loop.StreamLocalOutlierProbability)

  • mmh3==2.5.1 (Only required for pysad.models.xstream.xStream)

  • pandas==1.1.0 (Only required for pysad.utils.pandas_streamer.PandasStreamer)

Versioning

Semantic versioning is used for this project.

License

This project is licensed under the 3-Clause BSD License.

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