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