Doccano
7.0#4 in data labeling softwareFree planFree planWebAPILinuxmacOS
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| Fact | Doccano | Potato |
|---|---|---|
| Installation | Doccano can be installed using pip, Docker, or Docker Compose. | The maker’s quick start instructs users to install Potato with pip and requires Python 3.7 or later. |
| Integrations | The auto-labeling guide demonstrates Amazon Comprehend Sentiment Analysis and allows users to configure a custom REST API. | Listed integrations include OpenAI, Anthropic Claude, Google Gemini, Ollama, HuggingFace, OpenRouter, vLLM, YOLO, and LangChain. |
| Support | The project directs users to its FAQ and invites them to contact the author for help and feedback. | The FAQ directs users to Discord or the documentation for questions; the About page provides a team contact email. |
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.
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.