Label Studio
8.2#1 in image annotation softwareFrom $99 a monthFree planWebAPILinuxmacOS
VisitLabel Studio vs Prodigy
What both publish
| Fact | Label Studio | Prodigy |
|---|---|---|
| Deployment | Label Studio can be installed on premises or in the cloud using pip, Docker, Ubuntu, source, or Anaconda. | The standard Python web server can be deployed on any cloud provider or entirely on-premise. |
| Integrations | The integrations directory lists cloud storage, foundation model APIs, computer vision, speech and audio, ML frameworks, and infrastructure integrations. | Prodigy has first-class support for spaCy, plugins for Hugging Face models, and integrations with major LLM API providers. |
| Purpose | Label Studio is an open source data labeling tool for labeling multiple data types and connecting machine learning models for predictions or active learning. | Prodigy is a downloadable developer tool for creating training and evaluation data for machine learning models. |
Label Studio plans
- Community EditionFree
- Starter Cloud$99 a month
- EnterprisePriced on request
Prodigy plans
- Personal$390, paid once
- Company$490, paid once
Pick Label Studio if…
It suits teams preparing labeled datasets across several media types, from individual community users to organizations needing managed cloud or on-prem deployment. Developers can use its APIs, Python SDK, and webhooks to connect labeling work to other systems.
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.