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Data & context

Label Studio

Uses configurable annotation interfaces across many data modalities and machine-learning workflows.

28,390 stars

Overview

Research summary

Label Studio provides configurable interfaces for collecting annotations across multiple data types. Teams can import tasks, label or review samples and export results for downstream model training or evaluation. Its templates and machine-learning integrations support adapting the labeling process to different projects, including workflows that use model predictions to assist annotators. The application can run locally or on hosted infrastructure. This entry represents the Apache-licensed open-source edition, with commercial editions offered separately by HumanSignal.

Repository summary

Stars
28,390
Open issues
Unavailable
Last push
2026-10-02
Commits, 90 days
Unavailable
Repository activity
Not scored
Version
Unavailable

Recorded catalogue figures. View repository data and provenance →

Classification

Pricing & services

Paid services available

The provider offers paid products or services. Free options may also be available.

View pricing & services ↗

Commercial offering checked 2026-10-02.

Licence scope

Implementation

Recorded implementation details and interfaces for Label Studio.

Implementation details

Python / TypeScript implementation with an interactive application or platform integration

Languages
Python, TypeScript
Repository type
source

Recorded interfaces and capabilities

Licence scope

Repository

Repository snapshots, release information and recorded maintenance signals.

Repository snapshot

HumanSignal/label-studio ↗

Stars
28,390
Open issues
Unavailable
Last push
2026-10-02
Commits, 90 days
Unavailable
Repository activity
Not scored
Archived
Not recorded

Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).

Maintenance and provenance

Catalogue snapshot
2026-10-06
Stars source
Recorded fallback
Last push source
Recorded fallback

Documentation

Recorded references and research provenance for this entry.

Recorded sources 6

Research metadata

Research date
2026-10-02
Catalogue snapshot
2026-10-06