CompreFace vs DeepFace
CompreFace
github.comDeepFace
github.comSide by side
| Figure | CompreFace | DeepFace |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 6 |
| Spec score · AI Image Recognition Software | 8.9 (#2) | 8.8 (#4) |
| Spec score · Facial Recognition Software | 8.8 (#1) | 8.7 (#2) |
| Spec score · Image Recognition Software | 8.9 (#2) | 8.9 (#3) |
| Face verification | The API supports comparing faces to verify whether they belong to the same person. | The verify function determines whether two supplied face images belong to the same person and returns a verification result with distance information. |
| Licence | CompreFace is released under the Apache 2.0 open-source licence. | DeepFace is distributed under the MIT licence. |
| REST API | The product exposes REST endpoints for face-analysis services and subject management. | The self-hosted API exposes verification, representation, analysis and register/search operations through HTTP endpoints. |
| What it does | CompreFace is Exadel’s free, open-source facial-recognition server designed for integration into other systems. | DeepFace is a Python framework for face recognition and facial attribute analysis covering age, gender, emotion and race. |
Plans
DeepFace
- Anonymous trialFree
- deepface.dev free accessFree
- deepface.dev free allowanceFree
- DeepFace open-source packageFree
- Open-source DeepFaceFree
- deepface.dev EnterprisePriced on request
In their own words
CompreFace
CompreFace is a free, open-source face recognition service that provides capabilities through a REST API. It supports face recognition and verification, plus face, landmark and mask detection, head pose detection, age recognition and gender recognition. The project says setup and use do not require prior machine-learning skills. It is packaged as a Docker Compose configuration and can run as a standalone server or in the cloud; listed deployment options also include hybrid use. Setup instructions cover Windows, macOS and Linux and require Docker with Docker Compose or Docker Desktop. The service supports CPU and GPU models, with an x86 processor supporting AVX among the stated requirements. A UI panel and role management let users manage roles and control access to face recognition services. The project names FaceNet and InsightFace among its underlying libraries and links JavaScript, Python and .NET SDK repositories. CompreFace is self-hosted and released under Apache 2.0. The documented quick start uses a release archive and starts the service with docker-compose up -d; the project also points users to GitHub channels and a community chat.