Capturas de pantalla del proyecto
Resumen
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.
Características principales
- 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
Requisitos, instalación y guía rápida
Uso
Compatibilidad de modelos y casos de uso
Not stated in the repository metadata
Notas sobre la licencia y los riesgos
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.
Lanzamiento y mantenimiento
Flyte 2 is now generally available. The repository currently targets the Flyte 2 release, with Flyte 1 maintained on the master branch.