DeepInsight

license

MIT(library and training code, stated in the README

source

public(github.com/deepinsight/insightface)

core features withheld

yes — commercial licenses for the recognition model packs and the InspireFace SDK are sold on request

The library code is MIT-licensed, but the face models it downloads by default are licensed for non-commercial research only, and a business that wants to deploy them has to buy a commercial model license from InsightFace. The repository carries no root LICENSE file; the terms are stated in the README and in signed license files beside each model pack. InsightFace-Model-License covers a part the product requires and does not permit commercial use, so the license tier is noncommercial.

• https://raw.githubusercontent.com/deepinsight/insightface/HEAD/python-package/docs/commercial_evaluation.md recorded 2026-09-27

  "Commercial Evaluation Mode" document, which walks through evaluating on the user's own data "before choosing a commercial model license" and closes with "Commercial Licensing Next Steps".

• https://raw.githubusercontent.com/deepinsight/insightface/HEAD/python-package/README.md recorded 2026-09-27

  Python package README: "The library code is released under the **MIT License**, for academic and commercial use. **The pretrained models provided with this library are for non-commercial research only**, whether downloaded automatically or manually."; "FaceAnalysis() defaults to buffalo_l and downloads the model package".

• https://raw.githubusercontent.com/deepinsight/insightface/HEAD/README.md recorded 2026-09-27

  README: "The code of InsightFace is released under the MIT License. There is no limitation for both academic and commercial usage."; "The training data containing the annotation (and the models trained with these data) are available for non-commercial research purposes only."; "For open-sourced face recognition models (e.g., buffalo_l package), please contact recognition-oss-pack@insightface.ai for licensing."

• https://raw.githubusercontent.com/deepinsight/insightface/HEAD/server/backend/insightface_server/licensing/defaults/buffalo_l/MODEL.LICENSE recorded 2026-09-27

  buffalo_l MODEL.LICENSE: "license_id": "buffalo_l-public-v1", "issuer": "InsightFace", "grant": "non-commercial".

• https://ungh.cc/repos/deepinsight/insightface/files/master recorded 2026-09-27

  Repository tree of 2,029 paths with no LICENSE, LICENSE.txt or LICENSE.md at the root; per-model MODEL.LICENSE files under server/backend/insightface_server/licensing/defaults/ and recognition/arcface_torch training code.

Measured on monthly PyPI downloads of the insightface package.

• https://pypistats.org/api/packages/insightface/recent recorded 2026-09-27

  last_month 932,087 downloads of insightface

InsightFace detects and aligns faces in any photo and recognizes people the user enrolls by comparing embeddings, so a new set of identities needs no training run. It covers one object class, faces, where Ultralytics spans many tasks.

• https://raw.githubusercontent.com/deepinsight/insightface/HEAD/python-package/README.md recorded 2026-09-27

  Python package README: "InsightFace provides face detection, recognition, alignment, and attributes through Python and ONNX Runtime."; example "app = FaceAnalysis()" with the buffalo_l pack downloaded on first use.