Prodigy
6.6#10 in data labeling software$390, paid onceWebAPILinuxmacOS
VisitProdigy vs Roboflow
What both publish
| Fact | Prodigy | Roboflow |
|---|---|---|
| Audience | Prodigy is designed as a developer tool and assumes basic familiarity with Python and the command line, while annotation tasks can be completed in its web app without programming experience. | Roboflow describes its platform as designed for developers and enterprises building computer vision applications. |
| Integrations | Prodigy has first-class support for spaCy, plugins for Hugging Face models, and integrations with major LLM API providers. | Integrations include AWS S3, Google Cloud, Azure, Zapier, Kubernetes, NVIDIA Jetson, iOS, Android, Amazon SageMaker, and Google Colab. |
| Support | The Personal license includes community forum support; Company licenses include priority forum and email support. | Roboflow provides a knowledge base, developer documentation, forums, YouTube tutorials, and enterprise priority support by email and in-app chat. |
Prodigy plans
- Personal$390, paid once
- Company$490, paid once
Roboflow plans
- Free TierFree
- Core$39 a month
- EnterprisePriced on request
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.
Pick Roboflow if…
Roboflow suits developers and enterprises building computer vision applications, especially teams that need annotation, model deployment and dataset collaboration. Its self-hosting, VPC and on-premise options may suit organizations with deployment or data-sovereignty requirements.