Cleanlab
by Cleanlab · open-source · Last verified 2026-03-17
Data-centric AI library for finding and fixing label errors in datasets automatically. Uses confident learning algorithms to identify mislabeled data, estimate noise, and improve model training quality.
https://cleanlab.ai ↗C+
C+—Average
Adoption: C+Quality: AFreshness: ACitations: C+Engagement: F
Specifications
- License
- AGPL-3.0
- Pricing
- open-source
- Capabilities
- label-error-detection, data-quality-scoring, outlier-detection, confidence-learning, auto-correction
- Integrations
- hugging-face
- Use Cases
- data-quality-improvement, label-error-fixing, dataset-auditing, model-improvement
- API Available
- Yes
- SDK Languages
- python
- Deployment
- self-hosted, cleanlab-studio
- Rate Limits
- N/A (open-source); studio plans vary
- Data Privacy
- Self-hosted by default; Cleanlab Studio SOC 2 compliant
- Tags
- data-quality, label-errors, confidence-learning, data-centric
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
50.55Adoption
50
Quality
84
Freshness
82
Citations
55
Engagement
0