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

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.

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 …

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. …

In a local Python environment: To develop and test your code quickly without the overhead of setting up a local Flyte cluster, you can run your workflow in your local Python environment.

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 …

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

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 …

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

In this guide, you learned about the Flyte demo cluster, Flyte configuration, and the different registration patterns you can leverage during the workflow development lifecycle.