Product

Label Studio

by HumanSignal

Product website
https://labelstud.io
Documentation
https://labelstud.io/guide/
Pricing
https://humansignal.com/pricing/
Categories
Data Labeling & Annotation Datasets Platform

Description

Data labeling platform for annotating machine learning datasets.

AI-native score

How ready this product is for agents to use, on a 0–100 scale across four weighted dimensions. Security is one of them, so a high score is not a substitute for your own security or vendor-risk review. How is this scored?

Research coverage: 58% of the scored decision fields carry a confirmed value. Unresearched fields score zero in the grade above.

Integration2/10Trust3/6Portability4/4Security2/4Tier C50/100
Component Raw Weight Contribution
Integration 2/10 35% 7.0
Trust 3/6 30% 15.0
Portability 4/4 20% 20.0
Security 2/4 15% 7.5
Signals that fired
  • Integration: Command-line interface (+1) ; SDK / developer kit (+1)
  • Trust: No generative AI training (yes, +2) ; Verified trust center (+1)
  • Portability: Data export (partial, +1) ; Data import (partial, +1) ; Open standards (+1) ; Standard protocol access (+1) ; No proprietary-SDK lock-in (+1) ; Self-hostable (+1) ; Open source (+1)
  • Security: Compliance certifications (+1) ; Access controls — RBAC / ABAC (+1)
Signals not researched

These gaps cover the fields used in the AI-native score.

  • Integration surfaces: llms.txt, Headless signup, MCP servers, Native connectors, API specs, Agent skills
  • Trust & data policy: Multi-factor authentication, Zero data retention, Hard budget caps, Sandbox environment, Documented provider swap

Trust & data policy

Trust center
Vendor trust center
No generative AI training
Yes
Data export
Partial
Data import
Partial
Open standards
Yes
Standard protocol access
Yes
No proprietary-SDK lock-in
Yes
Self-hostable
Yes
Open source
Yes
Source code
https://github.com/HumanSignal/label-studio

Not yet researched Multi-factor authentication, Zero data retention, Hard budget caps, Sandbox environment, Documented provider swap

Security & compliance

Certifications and access controls this product reports on its own pages. We confirm the vendor lists each one; for certifications we don't audit the underlying report. Part of the 15% security score.

A shared trust or security page can support several certifications. We do not require separate public report links because reports may require login, vendor approval, or a nondisclosure agreement. Ask the vendor for reports and applicable coverage before a procurement decision. These listings expose no per-claim check date; the entry's updated date does not date the supporting evidence.

Compliance certifications

Access controls

RBAC

What it does

Jobs to be done

  • Label machine learning data

    Annotate data for training or evaluating machine learning models.

    View 3 products
  • Manage machine learning datasets

    Organize and maintain datasets for machine learning development.

    View 3 products

Integration surfaces

How an agent connects to this product and finds its documentation. The largest dimension of the AI-native score (35%).

WebMCP
No

Command-line interfaces

Developer kits

Confirmed absent Agent2Agent (A2A) servers

Not yet researched llms.txt, Headless signup, MCP servers, Native connectors, API specs, Agent skills

Starter Cloud

$99/mo

Additional users cost $49 per month each.

View offer

Reviews

No approved reviews yet.

RSS: approved reviews

Catalog activity

Track how this entry changes as proposals are opened and merged.

RSS: merged changes · RSS: open proposals

Own this product? Add a verified badge to your site

Show visitors and crawling agents your verified AI-native grade. The badge stays current as your entry is verified, and links back to this page.

Label Studio — AI-native Tier C (50/100) on Open Agent Guide Label Studio — AI-native Tier C (50/100) on Open Agent Guide

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Ready to decide?

Tier C · 50/100 AI-native · 58% researched.

Visit Label Studio