Label Studio

Label Studio is an open source platform for data labeling and AI evaluation, supporting human-in-the-loop workflows across all data modalities. It enables teams to label data, evaluate models, and refine AI systems with programmable interfaces that adapt to diverse tasks. The platform integrates with ML pipelines via API, Python SDK, and webhooks, allowing real-time project creation, prediction streaming, and active learning. It supports LLM evaluation, agentic traces, RLHF, custom benchmarks, and RAG optimization. Trusted by leading AI builders, Label Studio has a vibrant community with millions of data items labeled and over 27,000 GitHub stars.

Key Benefits

• Open source and community-driven
• Supports all data modalities (vision, text, audio, etc.)
• Programmable interfaces and ML pipeline integration
• Active community with extensive documentation