Repositories (9)
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows. Flyte 2 now available locally: https://github.com/flyteorg/flyte-sdk
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