Metaflow Save

:rocket: Build and manage real-life data science projects with ease!

Project README



Metaflow is a human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning.

For more information, see Metaflow's website and documentation.

Getting Started

Getting up and running with Metaflow is easy.


Install metaflow from pypi:

pip install metaflow

and access tutorials by typing:

metaflow tutorials pull


Install Metaflow from github:

devtools::install_github("Netflix/metaflow", subdir="R")

and access tutorials by typing:


Get in Touch

There are several ways to get in touch with us:


We welcome contributions to Metaflow. Please see our contribution guide for more details.

Code style

We use black as a code formatter. The easiest way to ensure your commits are always formatted with the correct version of black it is to use pre-commit: install it and then run pre-commit install once in your local copy of the repo.

Open Source Agenda is not affiliated with "Metaflow" Project. README Source: Netflix/metaflow