Netflix’s Metaflow Python tool helps data scientists deploy machine-learning models to production faster.
“Netflix’s data-science team has open-sourced its Metaflow Python library, a key part of the ‘human-centered’ machine-learning infrastructure it uses for building and deploying data-science workflows. “
“According to Netflix software engineers, Metaflow was built to help boost the productivity of its data scientists who like to express business logic through Python code but don’t want to spend too much time thinking about engineering issues, such as object hierarchies, packaging issues, or dealing with obscure APIs unrelated to their work.”
“Netflix offers this nutshell description of its Python library on the new metaflow.org website: “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.”
It can also be used with popular Python data-science libraries, including PyTorch, Tensorflow, and SciKit Learn. “
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