LightlyStudio
7.6#2 in data labeling softwareFree planFree planWebAPILinuxmacOS
VisitLightlyStudio vs Prodigy
What both publish
| Fact | LightlyStudio | Prodigy |
|---|---|---|
| Annotation | The product supports classification, object-detection and segmentation annotations that can be edited in the GUI or through Python. | Its customizable browser-based app supports annotation workflows for text, images, audio, video, relations, multiple choice, and more. |
| Deployment | 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. | The standard Python web server can be deployed on any cloud provider or entirely on-premise. |
| Headquarters | Zurich, Switzerland | Berlin, Germany |
| Integrations | 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. | Prodigy has first-class support for spaCy, plugins for Hugging Face models, and integrations with major LLM API providers. |
| Privacy | In the open-source version, images and videos stay in the user's storage, while anonymous usage analytics can be disabled with an environment variable. | Prodigy runs on the user's own machines, does not connect to the maker's or third-party servers, and can operate on an air-gapped machine. |
LightlyStudio plans
- Open SourceFree
- Open SourceFree
- Lightly-HostedPriced on request
- On-PremisePriced on request
- On-PremisePriced on request
- Lightly-HostedPriced on request
Prodigy plans
- Personal$390, paid once
- Company$490, paid once
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.
Pick Prodigy if…
Prodigy suits developers building machine-learning data workflows, especially those who need local or air-gapped operation. Annotation tasks can be completed in the web app without programming, but the tool assumes basic Python and command-line familiarity.