Metadata_Visual

With 250 specialized functions, Metadata_Visual library designed to transform ordinary filesystem metadata into structured, visual, and analyzable information, giving developers a new way to understand large collections of files without relying primarily on their contents. This Python library supports metadata extraction, statistical profiling, timelines, storage analysis, directory mapping, clustering, multidimensional visualization, anomaly detection, permissions analysis, EXIF inspection, metadata comparison, snapshots, and reporting.

Created: August 2026