Welcome!

AnomalyDetection.ml is an open source, machine learning based outlier detection solution which can be self hosted, for organizations with high standards for data protection.

AnomalyDetection.ml enables real-time outlier detection for enterprise systems such as ERP, SCM, CRM, etc. using machine learning algorithms. It was developed and tested for Enterprise Resource Planning Systems in our software lab as well as customized and tested in several real world applications.

The system incoporates two customizable outlier detection algorithms, which can be used separately or combined. AnomalyDetection.ml was developed as serverless, containerized Application that can be deployed in a local or cloud environment depending on your resources and data protection requirements.

🚧 Pre-Alpha Stage:

Please note that our software is currently in a pre-alpha stage. We have some test installations in companies to understand the usage and needs of a real-world deployment and to derive further requirements to improve our software.

👩‍💻 Contributions:

Our project is open for contributions! We would like to see that our project is something that others need and like, and we welcome any contribution. just follow the usual open source development rules and practices.