CompreFace vs Viso Suite
CompreFace
github.comViso Suite
viso.aiSide by side
| Figure | CompreFace | Viso Suite |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · AI Image Recognition Software | 8.9 (#2) | 6.8 (#27) |
| Spec score · Image Recognition Software | 8.9 (#2) | 6.8 (#18) |
| Deployment | It is delivered as a Docker Compose configuration and can run as a standalone server or be deployed in the cloud. | Viso Suite can run in cloud, on-premises, or at the edge, and supports Jetson, x86, and ARM hardware. |
| Integrations | The project invites contributors to add support for other platforms such as Home Assistant or DreamFactory; it does not describe these as built-in integrations on the page. | The platform offers ready-made connectors for existing cameras and video systems and can send outputs to ERP, BI, and third-party systems. |
| Support | The project directs users to report ideas and bugs on GitHub and offers a community chat link. | The Suite page describes a dedicated Viso expert team across the deployment lifecycle, 24/7 managed service, quarterly business reviews, and SLO-backed reliability. |
Plans
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.