1. Home
2. Graph Analytics
3. Graph Algorithms
4. PyGOD

1. Home
2. Data Science
3. Anomaly Detection
4. PyGOD

PyGOD

Provides over ten outlier detection algorithms over graph data, following the API design of PyOD.

Logo
Website	N/A
Repository	https://github.com/pygod-team/pygod/
Byline	A Python Library for Graph Outlier Detection (Anomaly Detection)
License	BSD
Project age	1 years
Backers	PyGod Team (Creator and maintainer)
Lastest News (2022-04-30)	v0.2.0 Our paper is available on arXiv. We enable most of the models to train with minbatch, see model list for supported models. … more
Size score (1 to 10, higher is better)	2.0
Trend score (1 to 10, higher is better)	6.75

Education Resources

URL	Resource Type	Description
https://docs.pygod.org/en/latest/	Documentation	Official project documentation.
https://arxiv.org/abs/2204.12095	Paper	Paper available on ArXiv.

Git Commit Statistics

Statistics computed using Git data through November 30, 2022.

Statistic	Lifetime	Last 12 Months
Commits	1,953	1,946
Lines committed	321,016	320,827
Unique committers	14	14
Core committers	12	12

Similar Projects

Project	Size Score	Trend Score	Byline
DGL	5.5	8.0	Python package built to ease deep learning on graph, on top of existing DL frameworks.
PyOD	2.75	8.75	A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
TODS	2.25	2.75	An Automated Time-series Outlier Detection System
TensorFlow GNN	3.75	9.25	TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
kglab	4.75	5.0	A simple abstraction layer in Python for building knowledge graphs