Dataloop vs Pixano
Dataloop
dataloop.aiPixano
pixano.cea.frSide by side
| Figure | Dataloop | Pixano |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 0 |
| Spec score · Image Annotation Software | 7.9 (#13) | 7.6 (#18) |
| Spec score · AI Image Annotation Tools | 7.8 (#12) | 7.6 (#15) |
| Deployment | Dataloop says it supports on-premises or private-storage deployments with custom authentication and role-permission enforcement. | The maker documents installation with pip in a Python virtual environment and official Docker releases. |
| Founded | 2017 | 2020 |
| Headquarters | Tel Aviv, Israel | Palaiseau, France |
| Intended users | The site presents Dataloop for data engineers, data scientists, software engineers, AI and data leaders, and human reviewers. | CEA-List describes Pixano as supporting AI developers and applications in areas including manufacturing, security, robotics, and transportation. |
| Product | Dataloop describes itself as an enterprise-first AI development platform for building AI applications. | Pixano is an open-source tool for exploring and annotating computer vision datasets with AI features. |
| Security and compliance | Dataloop states it is GDPR compliant, adheres to ISO 27001 and ISO 27701, and is SOC 2 Type II compliant. | The pages reviewed did not state a security certification or compliance standard. |
| Support | The contact page lists a support link and gives the address 2 Sapir st, Herzliya, Israel. | The project README directs users to its Getting Started guide and contributing guide for usage and contribution information. |
Plans
In their own words
Dataloop
Dataloop is a paid, enterprise-first AI development platform for building AI applications. It supports unstructured workflows for images, video, text, JSON, LiDAR, audio, PDF, GIS, and multimodal data. Users can work with off-the-shelf or custom models, then version, experiment, compare, and fine-tune them. Drag-and-drop pipelines or the Python SDK can coordinate data, models, and human feedback, including RLHF and other human-centric tasks. A marketplace provides models, datasets, workflow templates, and reusable components. Integrations include Google Cloud Platform, Amazon S3, Microsoft Azure Blob, AWS ECR, Google Artifact Registry, and Azure Container Registry. Dataloop lists GDPR compliance, ISO 27001, ISO 27701, and SOC 2 Type II compliance, with AES-256 and TLS v1.2 encryption. Access controls include role-based permissions, SSO, two-factor authentication, and activity logging. Deployment can be on-premises or in private storage. Pricing is available through a specialist demo.
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.