DeepFaceLive vs deepface
Face swapping and face analysis compared
DeepFaceLive is a Windows-focused desktop application for real-time face swapping and animating a still portrait. deepface is a Python library for face recognition and facial attribute analysis, with tools for search and API services. The main difference is live visual effects versus developer-oriented image analysis.
DeepFaceLive: Real-Time Face Swapping for Video
DeepFaceLive is a Windows desktop app for swapping faces from a webcam or video in real time, and for animating a still face image. It targets streamers and video-call users with a compatible GPU.
deepface: Analyze and Recognize Faces in Python
DeepFace is a Python library that combines face recognition models and detection tools behind a simple API. Use it to verify identities, search face collections, generate embeddings, or estimate facial attributes.
| DeepFaceLive | deepface | |
|---|---|---|
| Language | Python | Python |
| License | GPL-3.0 | MIT |
| Stars | 31k | 23.5k |
| Forks | 1.4k | 3.2k |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- DeepFaceLive focuses on swapping faces in webcam or video input and animating a still image; deepface focuses on verification, search, embeddings, and facial attribute analysis.
- DeepFaceLive is a desktop application aimed at streamers and video-call users; deepface is a Python library for developers, researchers, and application teams.
- DeepFaceLive documents Windows setup, compatible GPU requirements, and Android camera input; deepface offers backend and model choices, database or vector-store search, and REST or gRPC APIs.
- DeepFaceLive is licensed under GPL-3.0 and is archived; deepface is MIT-licensed and is not archived.
- DeepFaceLive's real-time effects depend on capable graphics hardware, while deepface results depend on the selected model, detector, image quality, and settings.
Choose DeepFaceLive if you…
- want live face swaps for webcam or video use, including streams and calls.
- need to animate a still face image using video or a camera feed.
- can use its documented Windows setup and compatible graphics hardware.
Choose deepface if you…
- need Python tools for face verification, embeddings, or image search.
- want to choose among recognition models and detector backends or expose operations through an API.
- are evaluating facial attribute predictions and can account for biometric privacy, consent, and accuracy concerns.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.