magika

Dal README

pipx install magika

• Trained and evaluated on a dataset of ~100M files across 200+ content types.
• On our test set, Magika achieves ~99% average precision and recall, outperforming existing approaches -- especially on textual content types.
• After the model is loaded (which is a one-off overhead), the inference time is about 5ms per file, even when run on a single CPU.
• You can invoke Magika with even thousands of files at the same time. You can also use -r for recursively scanning a directory.
• Near-constant inference time, independently from the file size; Magika only uses a limited subset of the file's content.

Estratti dal README del progetto su GitHub. I diritti d'autore e le licenze rimangono con i rispettivi autori.