Machine Learning for Anomaly Detection in Open Source Communities

Augur is a Flask based prototyping web stack for CHAOSS metrics. It provides structured data mined from various sources like git repositories, mailing lists and issue trackers using a plugin architecture incorporating other open-source metrics projects like Facade and FOSSology. Augur enables users to keep track of the activities happening across the repositories they care about and compare their performance. The main goals of this project are to detect anomalies in various metrics in the open-source community and notify the community managers at the earliest; providing API endpoints for the required metrics, and a customized dashboard to visualize these metrics through charts. The completion of this project would result in a customized dashboard for every user, providing real-time statistics of the anomalous activities happening across their repositories.