Metaflow is built for data scientists, not just for machines
Successful data science projects are delivered by data
scientists who can build, improve, and operate end-to-end
workflows independently, focusing more on data science, less on
engineering.
Model with your favorite tools
Use Metaflow with your favorite data science libraries, such as
Tensorflow or SciKit Learn, and write your models in idiomatic
Python code with not much new to learn. Metaflow also supports the R
language.
Build with Metaflow
Metaflow helps you design your workflow, run it at
scale, and deploy it to production. It versions and tracks
all your experiments and data automatically. It allows you
to inspect results easily in notebooks.
Use with AWS or Kubernetes
When you need more scale, Metaflow provides built-in
integrations to storage, compute, and machine learning
services for AWS and Kubernetes. No code changes required.
Battle-hardened at Netflix
Metaflow was originally developed at Netflix to address the needs
of its data scientists who work on demanding real-life
data science projects. Netflix open-sourced Metaflow in 2019.
