BasicAI vs Pixano
BasicAI
basic.aiPixano
pixano.cea.frSide by side
| Figure | BasicAI | Pixano |
|---|---|---|
| Price from | $550/mo | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 0 |
| Spec score · AI Image Annotation Tools | 8.0 (#10) | 7.6 (#15) |
| Spec score · Image Annotation Software | 8.0 (#12) | 7.6 (#18) |
| Deployment | BasicAI offers on-premise deployment options, with professional deployment and maintenance services and data kept within the customer’s systems. | The maker documents installation with pip in a Python virtual environment and official Docker releases. |
| Headquarters | Irvine, California, USA | Palaiseau, France |
| Product | BasicAI provides a multimodal data annotation platform and managed data annotation services for AI training data. | Pixano is an open-source tool for exploring and annotating computer vision datasets with AI features. |
| Support | The company provides technical support and offers a dedicated support plan with its private-cloud deployment. | The project README directs users to its Getting Started guide and contributing guide for usage and contribution information. |
Plans
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.