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Flyte project preview
Developer ToolsAlternative to AirflowAlternative to Vertex AI PipelinesAlternative to Kubeflow

Flyte

Scalable and flexible workflow orchestrator for machine learning and data processing.

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LicenseApache-2.0
GitHub stars6.2k
Last commit1 weeks ago
Tags5 topics
Ml OrchestratorK8s Workflow EngineDevopsTyped Data PipelinesFlyte Mlops
Overview

Why consider Flyte?

Flyte is an open-source, Kubernetes-native workflow orchestration platform written in Python and Go by LF AI & Data. Engineered for massive-scale ML and data pipelines, Flyte provides reproducible executions, typed data schemas, multi-tenant isolation, and resource optimization.

Guided learning

Learn Flyte by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Flyte

Flyte orchestrates distributed machine learning workflows on Kubernetes with deterministic lineage tracking.

Quickstart

bash
1pip install flytekit
2pyflyte run workflow.py my_wf

Flyte is licensed under the Apache License Version 2.0.

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Flyte FAQs

Flyte is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Flyte is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Flyte is listed as an alternative to Airflow. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.