User Guide

If this is your first time using Flyte, check out the Getting Started guide.

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. Each section below introduces a core feature of Flyte and how you can use it to address specific use cases. Code for all of the examples can be found in the flytesnacks repo.

It comes with a specific environment to make running, documenting and contributing samples easy. If this is your first time running these examples, follow the environment setup guide to get started.

Tip

To learn about how to spin up and manage a Flyte cluster in the cloud, see the Deployment Guides.

Note

Want to contribute or update an example? Check out the Contribution Guide.

Table of Contents

🌳 Environment Setup	Set up a development environment to run the examples in the user guide.
🔤 Basics	Learn about tasks, workflows, launch plans, caching and managing files and directories.
⌨️ Data Types and IO	Improve pipeline robustness with Flyte’s portable and extensible type system.
🔮 Advanced Composition	Implement conditionals, nested and dynamic workflows, map tasks and even recursion!
🧩 Customizing Dependencies	Provide custom dependencies to run your Flyte entities.
🏡 Development Lifecycle	Develop and test locally on the demo cluster.
⚗️ Testing	Test tasks and workflows with Flyte’s testing utilities.
🚢 Productionizing	Ship and configure your machine learning pipelines on a production Flyte installation.
🏗 Extending	Define custom plugins that aren’t currently supported in the Flyte ecosystem.