Doccano
7.0#4 in data labeling softwareFree planFree planWebAPILinuxmacOS
VisitDoccano vs LightlyStudio
LightlyStudio
7.6#2 in data labeling softwareFree planFree planWebAPILinuxmacOS
VisitWhat both publish
| Fact | Doccano | LightlyStudio |
|---|---|---|
| Collaboration | Features include collaborative annotation and multi-language support. | Enterprise collaboration provides Viewer, Labeler, Editor and Admin roles plus centrally managed cloud credentials. |
| Deployment | The repository lists one-click deployment options for AWS and Heroku, and the guide supports installation locally or in the cloud. | 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 | 2018 | 2019 |
| Integrations | The auto-labeling guide demonstrates Amazon Comprehend Sentiment Analysis and allows users to configure a custom REST API. | 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. |
Doccano plans
- doccanoFree
LightlyStudio plans
- Open SourceFree
- Open SourceFree
- Lightly-HostedPriced on request
- On-PremisePriced on request
- On-PremisePriced on request
- Lightly-HostedPriced on request
Pick Doccano if…
Doccano suits machine-learning practitioners creating labeled text datasets for tasks such as sentiment analysis, entity recognition, and summarization. Teams can collaborate on annotations or connect scripts through its REST API.
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.