Metaflow
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Overview
HEALTH SCORE
Excellent*
Partial score (2/3 categories)
56out of 65
Strong maintainer coverage. Development cadence is the only remaining gap. Security & Supply Chain is unavailable, so weights were redistributed.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Excellent*(56/65)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 2 days.
Bus factor
23 active maintainers currently have merge rights.
Organization Diversity
Contributors span 265 organizations.
Project Achievements
Leaderboards
About
Metaflow is a Python framework that helps data scientists and machine learning engineers build and manage real-world data science projects. It provides a unified workflow to help teams move from prototype to production while handling data dependencies, versioning, and scalable compute infrastructure.
First commit
Software value
$5.3M
Tags
agents
ai
aws
azure
cost-optimization
datascience
distributed-training
gcp
generative-ai
high-performance-computing
kubernetes
llm
llmops
machine-learning
ml
ml-infrastructure
ml-platform
mlops
model-management
python
License(s)
Apache-2.0
Data sources
Git
GitHub