Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
Explore a collection of resources like books and videos to learn about detecting unusual patterns in data.
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anomaly-detection-resources has 9.4k stars on GitHub. It has been forked 1.8k times. anomaly-detection-resources is written mainly in Python. It has been in active development since 2018. anomaly-detection-resources is available under the AGPL-3.0 license. Its main topics are anomaly-detection, awesome, awesome-list, data-mining.
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
anomaly-detection-resources is an open-source project. It is released under the AGPL-3.0 license.
Yes. anomaly-detection-resources is free and open source — you can use, modify and self-host it. Its AGPL-3.0 license is a strong copyleft: if you distribute a modified version — including offering it as a network service — your changes must be released under the same license.
anomaly-detection-resources is available under the AGPL-3.0 license.
anomaly-detection-resources is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.