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

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 …

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.

Flyte is a free and open source platform that provides a full suite of powerful features for orchestrating AI workflows. Flyte empowers AI development teams to rapidly ship high-quality code to production by …

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

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.

You can learn more about creating dynamic Flyte workflows by referring to dynamic workflows. In a dynamic workflow, unlike a simple workflow, the inputs are pre-materialized.

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.

ImageSpec allows you to customize the container image for your Flyte tasks without a Dockerfile. ImageSpec speeds up the build process by allowing you to reuse previously downloaded packages …

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 …