flyteorg

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.

Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference — in pure Python with async/await.

Flyte Documentation 📖

A apache commons style library in Golang, use by the Flyte project. Contains utilities for metrics, pflags, config management, storage abstraction, caching etc

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

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

Flyte Backend Plugins contributed by the Flyte community.

CookieCutter template for getting started with Flyte python projects