Flyte is an open-source workflow orchestration platform for building data, ML and analytics workflows with ease.

Flyte is an open-source, Kubernetes-native workflow orchestrator implemented in Go. It enables highly concurrent, scalable and reproducible workflows for data processing, machine learning and analytics.

Today Flyte is used by some of the largest companies in the world to build and deliver their compound AI products. Recently, we decided to make a change, move Flyte docs to the same platform where …

This User guide, the Tutorials and the Integrations examples cover all of the key features of Flyte for data analytics, data science and machine learning practitioners, organized by topic.

How Flyte is Simplifying the Orchestration of Machine Learning Pipelines Samhita Alla • Sep 21, 2022

Introduction to Flyte # Flyte is a workflow orchestrator that unifies machine learning, data engineering, and data analytics stacks for building robust and reliable applications.

To create a productionizable Flyte project to structure your code according to software engineering best practices, and that can be used to package your code for deployment to a Flyte cluster, see “Getting …

Flyte lets you write code in any language using raw containers, or choose Python, Java, Scala or JavaScript SDKs to develop your Flyte workflows. You can use the languages you are most …

The modern data experience Flyte lets you define how your tools work together and what they can collectively become. It enables collaboration between data, engineering and ML teams. You can …

A Flyte project is a directory containing task and workflow code, internal Python source code, configuration files, and other artifacts needed to package up your code so that it can be registered to …