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Cleanlab vs MLflow

both compete in AI Infrastructure. Updated daily with live metrics.

Quick Comparison

Cleanlab: 57.3K downloads/mo (+45%), 11.4K GitHub stars, $30M funded vs

MLflow

Source: AI-Buzz. Updated daily from npm, PyPI, GitHub, and Hacker News.

Key Differences

For production adoption: Cleanlab is depended on by 18 packages. Cleanlab has 57.3K package downloads per month (+45% MoM). Cleanlab appears in 19 GitHub repositories.

For growth trajectory: Cleanlab has 11.4K GitHub stars.

For longevity/risk: Cleanlab has raised $30M in total disclosed funding. Cleanlab's most recent round was Series A. both companies operate in the AI Infrastructure category.

Bottom Line

Cleanlab leads on developer adoption with 57.3K monthly package downloads. Both compete in the AI Infrastructure space. For a deeper look, visit each company's full profile for trend charts, funding rounds, and community sentiment data.

CleanlabMLflow
57.3K
0

Downloads (30d)

$30M
-

Disclosed Funding

11.4K
0

GitHub Stars

18
0

Package Dependents

19
0

Repos Importing (code adoption)

33
0

Momentum (0-100)

Data freshness notice: MLflow: no data freshness timestamp available.

Scroll to compare

MetricCleanlab logoCleanlab
Updated Mar 17
MLflow
Websitecleanlab.ai mlflow.org
DescriptionData quality tools for finding and fixing errors in ML datasetsOpen-source platform for the ML lifecycle including experiment tracking and model registry
Total Disclosed Funding
$30M
N/A
Last Funding
Series A
Oct 2023
Not available
Developer Adoption
Momentum
33Moderate
N/A
npm Registry Downloads (30d)
0
N/A
PyPI Registry Downloads (30d)
57.3K
N/A
PyPI Trend (30d)
+45%
-
Total Downloads (30d)
57.3K+45%
Not tracked
Active Contributors/Day
0
N/A
PyPI Dependents
18
N/A
Code Adoption (repos)
19
N/A
StatusPrivateUnknown
HN Mentions (30d)
0
N/A
GitHub Stars
11.4K
N/A
Founded2021Unknown
Primary Category
Data Last UpdatedUnknown

* MLflow has no npm/PyPI packages tracked - download metrics unavailable. Signal score based on GitHub and community data only.

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