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MLflow vs Patronus AI

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

Quick Comparison

MLflow vs

Patronus AI: 45.9K downloads/mo (-20%), 7 GitHub stars, $20M funded

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

Key Differences

For production adoption: Patronus AI is depended on by 3 packages. Patronus AI has 45.9K package downloads per month (-20% MoM).

For growth trajectory: Patronus AI has 7 GitHub stars.

For longevity/risk: Patronus AI has raised $20M in total disclosed funding. Patronus AI's most recent round was Series A. both companies operate in the AI Infrastructure category.

Bottom Line

Patronus AI leads on developer adoption with 45.9K 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.

MLflowPatronus AI
0
45.9K

Downloads (30d)

-
$20M

Disclosed Funding

0
7

GitHub Stars

0
3

Package Dependents

0
33

Momentum (0-100)

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

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MetricMLflowPatronus AI logoPatronus AI
Updated Mar 17
Websitemlflow.org patronus.ai
DescriptionOpen-source platform for the ML lifecycle including experiment tracking and model registryAutomated evaluation and testing platform for LLM applications
Total Disclosed Funding
N/A
$20M
Last FundingNot available
Series A
May 2024
Developer Adoption
Momentum
N/A
33Moderate
npm Registry Downloads (30d)
N/A
0
PyPI Registry Downloads (30d)
N/A
45.9K
PyPI Trend (30d)
-
-20%
Total Downloads (30d)
Not tracked
45.9K-20%
Active Contributors/Day
N/A
0
PyPI Dependents
N/A
3
Code Adoption (repos)
N/A
0
StatusUnknownPrivate
HN Mentions (30d)
N/A
0
GitHub Stars
N/A
7
FoundedUnknown2023
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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