All 167 Dependencies
Every package Label Studio depends on, ranked by repo health score.
Label Studio is an open-source data labeling tool built by HumanSignal that supports annotation across all major data types: images, text, HTML, audio, video, time series, and PDF. Teams configure their labeling interfaces using a declarative XML-based configuration language, selecting from over 30 built-in tags such as bounding boxes, polygons, named entity spans, audio regions, and timeline labels without writing any frontend code.
The platform ships as a Python pip package backed by a Django REST API and a React/mobx-state-tree frontend editor. Projects organize collections of tasks, which are individual items to annotate. Annotations are recorded at the task level, support multiple annotators per task for consensus scoring, and can be compared side-by-side. Pre-labeling is supported by connecting external ML backends over HTTP, which Label Studio calls for predictions before a human reviews and refines them.
Cloud storage integrations (Amazon S3, Google Cloud Storage, Azure Blob Storage, and local filesystem) allow teams to read source data and write annotation results directly to their own buckets without staging files through Label Studio itself. Completed annotations export in a wide range of ML-framework formats including COCO, Pascal VOC, YOLO, spaCy, and plain JSON via the label-studio-sdk converter library.
Label Studio Enterprise (Label Studio's commercial edition by HumanSignal) extends the open-source core with SSO, role-based access control, team workspaces, analytics dashboards, and SLA-backed support. The community edition is fully functional for teams running their own infrastructure and willing to manage the operational stack themselves.