Veritas Lib: High-Dimensional Anomaly Detection Library
Summary
Outcast HQ is proud to announce the release of veritas-lib, an open-source library developed by WARCR Group for high-dimensional anomaly detection. Utilizing the Veritas Formula, this tool provides researchers and developers with a lightweight solution for manifold alignment and structural data analysis. With native support for both Python and JavaScript, it is a versatile addition for anyone working in security, data verification, or complex system analysis.
veritas-lib is an open-source, multi-language library developed by WARCR Group for high-dimensional anomaly detection and manifold alignment. It implements the Veritas Formula, combining global spectral variance, local subspace projection residuals, and neighborhood graph smoothness to analyze complex data structures and identify structural inconsistencies or anomalies. With native support for Python and JavaScript/Node.js, veritas-lib is designed to be practical for research, data analysis, state verification, and security-oriented applications, while remaining lightweight enough for local-first environments.
Github: https://github.com/warcr-group-official/veritas-lib
NPM: npm install veritas-lib
PIP: pip install veritas-lib
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