Potato
6.4#3 in active learning toolsFree planFree planWebAPILinuxmacOS
VisitPotato vs Prodigy
What both publish
| Fact | Potato | Prodigy |
|---|---|---|
| Integrations | Listed integrations include OpenAI, Anthropic Claude, Google Gemini, Ollama, HuggingFace, OpenRouter, vLLM, YOLO, and LangChain. | Prodigy has first-class support for spaCy, plugins for Hugging Face models, and integrations with major LLM API providers. |
| Support | The FAQ directs users to Discord or the documentation for questions; the About page provides a team contact email. | The Personal license includes community forum support; Company licenses include priority forum and email support. |
Potato plans
- FreeFree
Prodigy plans
- Personal$390, paid once
- Company$490, paid once
Pick Potato if…
Potato suits research and project teams that need to create annotation tasks across multiple media types. It is for users prepared to run the software themselves rather than use a managed cloud tier.
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.