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Metaflow is an open-source framework for ML, AI, and data science that helps teams build, manage, and deploy real-world projects.
They support Python workflows, experiment tracking, versioning, cloud deployment, and scalable compute with GPUs, multiple cores, and instances.
Their standout capability is local-to-cloud development, allowing teams to develop and debug locally, then deploy workflows to production without changing the code.
They also provide data versioning, notebook integration, event-driven workflows, checkpointing, custom decorators, and Kubernetes support across major cloud platforms.
Metaflow is fully open source and includes a browser-based Sandbox for trying Metaflow in the cloud, with no paid plan or free trial specified.
Quick View
| Free Usage Policy | 100% Free |
| Paid Upgrade Option? | No |
| Tool Release Year | 2019 |
| Founded by | Netflix Machine Learning Infrastructure team. |
| Employees | NA |
| Location | NA | Social media presence |
| Popularity Index | 9.4 |
| Main Features | AI/ML Workflow Management, Data Science Pipelines, Experiment Tracking, Workflow Orchestration |
| Best Used For | Metaflow is best used by data scientists, ML engineers, AI engineers, research teams, and MLOps teams |
MetaFlow
Metaflow
Metaflow100% Free
| Credit Card Required? | |
| Phone Number Required? | |
| Paid Upgrade From |
