Overview
Label Studio — Open-source data labeling platform
Label Studio is the world's most popular open-source data labeling platform, supporting annotation of text, images, audio, video, and time series data. It's used by data teams to create training data for ML models, with both community and enterprise versions available.
Multi-type data annotation
100+ annotation templates
ML-assisted labeling
Team collaboration
Features & capabilities
Everything it does, in plain English.
The honest take
Where it shines, where it stumbles.
✓ Pros
- ✓Open source and self-hostable
- ✓Supports all data types
- ✓Large community
- ✓Flexible and customizable
! Watch-outs
- !Self-hosting requires DevOps knowledge
- !Enterprise features are expensive
- !UI can feel dated
Who it's for
Where Label Studio pays for itself fast.
ML training data creation
NLP dataset annotation
Computer vision labeling
Audio transcription labeling
RLHF data preparation
Community reviews
Share your take on Label Studio
Sign in to leave a verified review.
Alternatives
Similar tools worth comparing.
n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Ollama
Run large language models locally
Roo Code
Roo Code gives you a whole dev team of AI agents in your code editor.
Context7
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
SWE Agent
SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
Composio
Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.