GraphCanon updated Aug 14, 2026 · GitHub synced Aug 14, 2026
34views this month
Decision brief
Label Studio is an annotation tool supporting multiple data types with standardized output for machine learning projects.
Good fit when
- For projects needing multi-type annotations including images, texts, and more
- When a Dockerized setup simplifies deployment
Avoid when
- If your project strictly requires on-premise database solutions without Docker support
- For tasks where real-time collaboration annotations are non-negotiable features
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (28,058) are secondary evidence.
- npm downloads (30d)
- 8,050·npm downloads API·Aug 14, 2026
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Aug 14, 2026
- Provenance
- Not a fork · Organization account
- As of Aug 14, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install label-studioSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Label Studio is used for creating annotated datasets with standardized output formats for machine learning tasks.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 14, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 14, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 14, 2026
- Languages
- typescript, python
Source: github.language+pyproject.toml · Aug 14, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 14, 2026)
# If you're running Win64 with Python 3.8, install the packages downloaded from Gohlke:Source link
Tags
README
Install locally with Docker Official Label Studio docker image is here and it can be downloaded with . Run Label Studio in a Docker container and access it at . You can find all the generated assets, including SQLite3 database storage and uploaded files, in the directory. Overrid...
For agents
This page has a .md twin and JSON over the API.