HumanSignal/label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Label Studio helps data professionals organize and prepare their raw datasets for machine learning model training. You can upload various types of data, such as images, audio, text, videos, and time series, and then use a simple interface to add labels or annotations. This process transforms your unstructured data into structured, labeled datasets ready for building or improving AI models.
26,703 stars. Actively maintained with 58 commits in the last 30 days. Available on PyPI.
Use this if you need to efficiently label and annotate diverse datasets (images, audio, text, video, time series) to train or refine machine learning models.
Not ideal if your primary goal is to perform complex data analysis or visualization without the need for manual data labeling.
Stars
26,703
Forks
3,431
Language
TypeScript
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
58
Dependencies
58
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