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Galileo AI vs MLflow

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

Quick Comparison

Galileo AI: 1.3K downloads/mo (-62%), 17 GitHub stars, $68M funded vs

MLflow

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

Key Differences

For production adoption: Galileo AI has 1.3K package downloads per month (-62% MoM). Galileo AI appears in 1 GitHub repositories.

For growth trajectory: Galileo AI has 17 GitHub stars.

For longevity/risk: Galileo AI has raised $68M in total disclosed funding. Galileo AI's most recent round was Series A. both companies operate in the AI Infrastructure category.

Bottom Line

Galileo AI leads on developer adoption with 1.3K 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.

Galileo AIMLflow
1.3K
0

Downloads (30d)

$68M
-

Disclosed Funding

17
0

GitHub Stars

1
0

Repos Importing (code adoption)

32
0

Momentum (0-100)

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

Scroll to compare

MetricGalileo AI logoGalileo AI
Updated Mar 17
MLflow
Websiterungalileo.io mlflow.org
DescriptionLLM evaluation and observability platform for AI applicationsOpen-source platform for the ML lifecycle including experiment tracking and model registry
Total Disclosed Funding
$68M
N/A
Last Funding
Series A
Feb 2024
Not available
Developer Adoption
Momentum
32Moderate
N/A
npm Registry Downloads (30d)
0
N/A
PyPI Registry Downloads (30d)
1.3K
N/A
PyPI Trend (30d)
-62%
-
Total Downloads (30d)
1.3K-62%
Not tracked
Active Contributors/Day
0
N/A
PyPI Dependents
0
N/A
Code Adoption (repos)
1
N/A
StatusPrivateUnknown
HN Mentions (30d)
0
N/A
GitHub Stars
17
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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