Dataloop
6.0#4 in active learning toolsWebAPILinuxmacOS
VisitDataloop vs LightlyStudio
LightlyStudio
7.7#1 in active learning toolsFree planFree planWebAPILinuxmacOS
VisitWhat both publish
| Fact | Dataloop | LightlyStudio |
|---|---|---|
| Deployment | Dataloop says it supports on-premises or private-storage deployments with custom authentication and role-permission enforcement. | LightlyStudio Enterprise is offered as a Lightly-hosted service or as an on-premise deployment; the on-premise option can run fully offline and air-gapped. |
| Founded | 2017 | 2019 |
| Headquarters | Tel Aviv, Israel | Zurich, Switzerland |
| Integrations | The developer guide lists cloud storage integrations for Google Cloud Platform, Amazon S3 and Microsoft Azure Blob, plus container registries including AWS ECR, Google Artifact Registry and Azure Container Registry. | It reads images and videos from Amazon S3, Google Cloud Storage, and Azure Blob Storage, and supports common annotation formats including COCO, YOLO, Pascal VOC, and YouTube-VIS. |
| Product | Dataloop describes itself as an enterprise-first AI development platform for building AI applications. | LightlyStudio combines computer vision data curation, annotation, quality assurance, evaluation, and dataset management in one app. |
Dataloop plans
- Custom subscriptionPriced on request
LightlyStudio plans
- Open SourceFree
- Lightly-HostedPriced on request
- On-PremisePriced on request
Pick Dataloop if…
Dataloop suits teams building or labeling image datasets that need multiple annotation styles and export formats. Model-assisted labeling, collaboration, and API access are also listed capabilities.
Pick LightlyStudio if…
LightlyStudio suits computer-vision practitioners who need to curate and label image or video datasets and evaluate models. The open-source version is for users who can work without customer support or team collaboration; Enterprise offers those collaboration features.