RA

Ray

MLOps·infrastructure·open·#209 of 886·+9·infrastructure·Rising

79.2

Moderate

High confidence
WebsiteGitHub

Unified framework for scaling AI and Python workloads.

Repo Score Comparison

Strong in Both

Tool Score

79.2

Rank #210

Repo Score

82.3

Repo Rank #20

Score Gap-3.2

Both the tool and its underlying repo score 75+ - a well-rounded, healthy project.

Pillar Breakdown

Adoption

35%

80.1

Maintenance

30%

69.2

Friction

20%

96.5

Ecosystem

15%

77.5

Momentum

46.20Rising
7d change +0.17
High confidence

In MLOps

Ranked #9 of 31

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85.5
2MLflow
83.6
3Apache Airflow
81.5
4Great Expectations
81.3
5Optuna
80.6
6DVC
80.5
7BentoML
79.5
8Made-With-ML
79.2
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