FlytePropeller is a Kubernetes native operator, that executes Flyte Workflows and Tasks. It has its own kubectl-flyte CLI to interact and is extensible using the flyteplugins/pluginmachinery interface

Machine learning datasets used in tutorials on MachineLearningMastery.com

Hosts all static resources across repositories

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A clean customizable documentation theme for Sphinx

Specification of the IR for Flyte workflows and tasks. Also Interfaces for all backend services. https://docs.flyte.org/projects/flyteidl/en/stable/

A cross platform CLI for Flyte. Written in Golang. Offers an intuitive interface to Flyte https://flytectl.readthedocs.io/en/latest/

Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.

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