Metaflow
by Outerbounds · open-source · Last verified 2026-03-24
Metaflow is a human-friendly framework for data science and machine learning that allows scientists and engineers to build and manage real-life data science projects. It was originally developed at Netflix and is designed to bridge the gap between prototype and production, enabling rapid iteration and deployment of ML models.
https://metaflow.org/ ↗B+
B+—Good
Adoption: B+Quality: AFreshness: ACitations: BEngagement: B+
Specifications
- License
- Apache License 2.0
- Pricing
- open-source
- Capabilities
- workflow-management, version-control, scalability, dependency-management
- Integrations
- AWS, Kubernetes, Databricks, Snowflake
- Use Cases
- model-training, batch-prediction, data-processing, experiment-tracking
- API Available
- Yes
- Tags
- workflow-orchestration, data-science, machine-learning, python
- Added
- 2026-03-24
- Completeness
- 100%
Index Score
73.8Adoption
75
Quality
85
Freshness
80
Citations
65
Engagement
70
Put AI to work for your business
Deploy this framework alongside autonomous AaaS agents that handle tasks end-to-end — no babysitting required.