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MindsDB vs MLflow

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

Quick Comparison

MindsDB: 11.6K downloads/mo (-16%), 38.8K GitHub stars, 4 active contributors, $51M funded vs

MLflow

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

Key Differences

For production adoption: MindsDB has 11.6K package downloads per month (-16% MoM). MindsDB appears in 75 GitHub repositories.

For growth trajectory: MindsDB has 38.8K GitHub stars. MindsDB received 1 Hacker News mentions in the last 30 days.

For longevity/risk: MindsDB has raised $51M in total disclosed funding. MindsDB's most recent round was Venture. both companies operate in the AI Infrastructure category.

Bottom Line

MindsDB leads on developer adoption with 11.6K 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.

MindsDBMLflow
11.6K
0

Downloads (30d)

$51M
-

Disclosed Funding

38.8K
0

GitHub Stars

75
0

Repos Importing (code adoption)

1
0

HN Mentions (30d)

37
0

Momentum (0-100)

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

Scroll to compare

MetricMindsDB logoMindsDB
Updated Mar 17
MLflow
Websitemindsdb.com mlflow.org
DescriptionAI tables platform bringing ML models inside existing databasesOpen-source platform for the ML lifecycle including experiment tracking and model registry
Total Disclosed Funding
$51M
N/A
Last Funding
Venture
Feb 2023
Not available
Developer Adoption
Momentum
37Moderate
N/A
npm Registry Downloads (30d)
0
N/A
PyPI Registry Downloads (30d)
11.6K
N/A
PyPI Trend (30d)
-16%
-
Total Downloads (30d)
11.6K-16%
Not tracked
Active Contributors/Day
4
N/A
Contributors Trend-69%-
PyPI Dependents
0
N/A
Code Adoption (repos)
75
N/A
StatusPrivateUnknown
HN Mentions (30d)
1
N/A
GitHub Stars
38.8K
N/A
Founded2017Unknown
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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