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Data & context

Cleanlab

Uses existing model outputs to prioritize data problems that may limit training and evaluation quality.

11,683 stars

Overview

Research summary

Cleanlab helps developers inspect the quality of machine-learning datasets before or during model iteration. It can use predictions and representations from existing models to identify likely annotation mistakes, duplicate examples, outliers and other data problems across supported task types. Additional workflows address agreement between annotators and selecting examples for further labeling. This entry represents the Apache-licensed Python library, which can be used with multiple modeling frameworks, rather than every commercial service offered under the Cleanlab brand.

Repository summary

Stars
11,683
Open issues
Unavailable
Last push
2026-01-13
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.

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Commercial offering checked 2026-10-02.

Licence scope

Implementation

Recorded implementation details and interfaces for Cleanlab.

Implementation details

Python library and supporting tools

Languages
Python
Repository type
source

Recorded interfaces and capabilities

Licence scope

Repository

Repository snapshots, release information and recorded maintenance signals.

Repository snapshot

cleanlab/cleanlab ↗

Stars
11,683
Open issues
Unavailable
Last push
2026-01-13
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 7

Research metadata

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

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Communities