Facetorch curates and optimizes open-source face analysis models from the community, providing a versatile toolkit for facial detection, verification, landmark tracking, facial action unit analysis, expression recognition, and deepfake detection. The library uses PyTorch and TorchScript for high-performance inference, offering both GPU and CPU Docker images, Hugging Face Spaces integration, and Google Colab notebooks for easy experimentation.