Baal vs Potato
Baal
github.comPotato
potatoannotator.comSide by side
| Figure | Baal | Potato |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Active Learning Tools | 6.9 (#10) | 7.5 (#6) |
| Installation | The README gives pip and Poetry installation methods. | The maker’s quick start instructs users to install Potato with pip and requires Python 3.7 or later. |
| Integrations | The README links a seminar with Label Studio and describes training with Hugging Face or ModelWrapper. | Listed integrations include OpenAI, Anthropic Claude, Google Gemini, Ollama, HuggingFace, OpenRouter, vLLM, YOLO, and LangChain. |
| License | GitHub lists the project license as Apache-2.0. | Potato is released under GNU GPL version 3 or later and may be used, modified, redistributed, and used commercially, subject to the license terms. |
Plans
In their own words
Potato
Potato is an open-source platform for annotating text, audio, images, video, and qualitative data. Tasks are configured in YAML, and its maker says an annotation interface can be created without programming. The homepage lists 61 annotation types, including classification, spans, bounding boxes, polygons, and qualitative coding. Potato also supports annotating multi-agent teams on an interaction graph and evaluating computer-use, voice, and video agents. AI assistance can suggest labels, highlight keywords, check quality and consistency, pre-annotate material, and generate explanations. Listed integrations include OpenAI, Anthropic Claude, Google Gemini, Ollama, HuggingFace, OpenRouter, vLLM, YOLO, and LangChain. Imports cover text, image, audio, video, and PDF or HTML documents; exports include JSON, JSONL, CSV, CoNLL, Hugging Face, COCO, and YOLO. Potato runs locally or on users’ own servers and supports offline use. The free self-hosted plan includes all features and has no usage limits. It is licensed under GNU GPL version 3 or later; installation with pip requires Python 3.7 or later.