flyte

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

6.7k
Stars
+146
Gained
2.2%
Growth
Go
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💡 Why It Matters

Flyte addresses the complexities of managing workflows in machine learning and data analytics projects. It provides a scalable and flexible orchestration platform that unifies various data, ML, and analytics stacks, making it particularly beneficial for ML/AI teams. With a steady growth of 146 stars over 96 days, it demonstrates stable community interest, indicating a mature, production-ready solution. However, teams focused on simpler data processing tasks or those with minimal orchestration needs may find Flyte to be more complex than necessary.

🎯 When to Use

Flyte is a strong choice for teams needing a robust orchestration tool that can handle complex workflows and integrate various data sources. Teams with straightforward requirements or those looking for minimal overhead might consider alternatives.

👥 Team Fit & Use Cases

Flyte is primarily used by data engineers, ML engineers, and data scientists who require a reliable open source tool for engineering teams. It is commonly integrated into products and systems that involve extensive data processing, machine learning pipelines, and analytics workflows.

🎭 Best For

🏷️ Topics & Ecosystem

data data-analysis data-science dataops declarative fine-tuning flyte golang grpc hacktoberfest kubernetes kubernetes-operator llm machine-learning mlops orchestration-engine production python scale workflow

📊 Activity

Latest commit: 2026-02-14. Over the past 97 days, this repository gained 146 stars (+2.2% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.