Keylabs vs Pixano
Keylabs
keylabs.aiPixano
pixano.cea.frSide by side
| Figure | Keylabs | Pixano |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 0 |
| Spec score · Image Annotation Software | 8.1 (#9) | 7.6 (#18) |
| Spec score · AI Image Annotation Tools | 8.1 (#8) | 7.6 (#15) |
| Annotation tools | The platform provides AI-assisted annotation, multi-layer QA, workflow controls, and tools for image, video, and 3D data. | The official site lists bounding boxes, editable polygons, pixelwise masks, customizable labels, and temporal propagation of video annotations. |
| Deployment | Keylabs says it can be deployed in the cloud or on customer hardware, including a fully on-premise option for enterprises without internet access. | The maker documents installation with pip in a Python virtual environment and official Docker releases. |
| Intended users | The infrastructure page names enterprise AI teams, data operations teams, ML engineers, and AI vendors as use cases. | CEA-List describes Pixano as supporting AI developers and applications in areas including manufacturing, security, robotics, and transportation. |
| Product | Keylabs is a data annotation platform for image, video, and 3D data, with AI assistance and built-in quality assurance. | Pixano is an open-source tool for exploring and annotating computer vision datasets with AI features. |
| Support | The pricing page lists customer support hours per month as a plan feature but does not show the hour amounts in its text. | The project README directs users to its Getting Started guide and contributing guide for usage and contribution information. |
Plans
Keylabs
- Startup$1, paid once
- Pro$2.10, paid once
- Business$2.30, paid once
- EnterprisePriced on request
In their own words
Pixano
Pixano is a free, open-source tool for exploring and annotating computer-vision datasets, including collections of text, images, and video. Its annotation tools cover boxes, polygons, pixel masks, keypoints, cuboids, classification, and tracking; video labels can be propagated across time. Smart features include semantic search using models such as CLIP and segmentation using models such as SAM. Dataset formats such as COCO can be imported and exported, and Pixano uses Lance storage for dataset navigation. Its reusable Web Components can be assembled into custom apps. Pixano documents REST and Python APIs, along with Pixano Inference, a Ray Serve-based inference server with a Python client and REST API. Installation options documented by the project are pip in a Python virtual environment or an official Docker image. The supported Python range is 3.10 or later and earlier than 3.14. Pixano is licensed under CeCILL-C and is under active development, so its API may change. Three-dimensional point-cloud support is described as planned.