Strongest current signal
Package downloads
48.6K/30d
Tracked on PyPI
▼ -16%
Data quality tools for finding and fixing errors in ML datasets
Best current coverage: 48.6K downloads/30d, 18 dependents, and 19 public repos.
Lead signals
Package pull and public code usage both show up clearly for Cleanlab.
Strongest current signal
48.6K/30d
Tracked on PyPI
18
Known dependents on PyPI
11.4K
Main repository stars
1/30d
Ranked #45 in category discussion
Research Brief
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package pull and existing public code are the clearest current signals for Cleanlab.
Package pull
48.6K/30d
Tracked package pull on PyPI
Existing public code
19
Public repositories importing tracked packages
Downstream usage
18
Known dependents on PyPI
GitHub attention
11.4K
Main repository stars
Coverage includes npm and PyPI registries, GitHub, public code import detection, developer discussion, and recent company news where available. As of April 13, 2026. Methodology
Sustainability and maintenance signals from the primary public repository.
These signals come from public code import detection and tracked hiring posts rather than registry totals alone.
Public repositories and source files importing packages tied to Cleanlab.
Background and reference details
background, categories, funding, and tools stay collapsed until you need them.
Cleanlab develops data-centric AI tools, including a no-code platform and an open-source Python library, to automatically find and fix errors in machine learning datasets. Their technology helps improve the reliability and performance of AI models by ensuring high-quality training data, addressing a critical challenge in the AI development lifecycle.
Raised $30M total - DAI rank #116 suggests moderate developer adoption relative to funding.
Menlo Ventures, TQ Ventures
TQ Ventures
906 PyPI
Data quality tools for finding and fixing errors in ML datasets
A widely used Python library for data-centric AI, enabling developers to programmatically find and fix data errors.
A no-code platform for automatically finding and fixing errors in ML datasets, improving model performance.
Historical metrics for Cleanlab
Cleanlab: PyPI Downloads down 93% (13.8K to 906). GitHub Stars up 0% (11.4K to 11.4K).
| Date | PyPI Downloads | GitHub Stars | HN Mentions |
|---|---|---|---|
| Mar 15, 2026 | 13.8K | 11.4K | 0 |
| Mar 22, 2026 | 10.9K | 11.4K | 0 |
| Mar 29, 2026 | 11.4K | 11.4K | 0 |
| Apr 5, 2026 | 11.9K | 11.4K | 1 |
| Apr 12, 2026 | 7.3K | 11.4K | 0 |
| Apr 13, 2026 | 906 | 11.4K | 0 |