Project screenshots
Overview
Flyte 2 is a graduated project of the LF AI & Data Foundation designed to coordinate data, models, and compute for AI workflows. It allows developers to define tasks and workflows natively in Python, supporting both local execution and distributed Kubernetes-native deployments. The framework emphasizes a resilient development experience, offering a terminal user interface (TUI) and browser-based demos to streamline the creation of ML pipelines and model serving endpoints.
Key features
- Pure Python workflow definition
- Asynchronous task execution support
- FastAPI integration for model serving
- Terminal User Interface (TUI) for local development
- Kubernetes-native backend architecture
- CLI and SDK execution modes
- LF AI & Data Foundation Graduated Project
Requirements, installation and quick start
Usage
Model compatibility and use cases
Not stated in the repository metadata
License and risk notes
Licensed under Apache 2.0.
Editorial verification 2026-08-09: repository URL, owner, description, license and repository statistics were reviewed. License metadata: Apache-2.0. README was fetched for the channel draft; re-check repository dependencies, releases and model terms before production use.
Release and maintenance
Flyte 2 is now generally available. The repository currently targets the Flyte 2 release, with Flyte 1 maintained on the master branch.