Flyte is a cloud-native, scalable, and open-source workflow automation platform designed to simplify the development, execution, and management of data, machine learning (ML), and analytics pipelines. It provides a high-level framework for building, scheduling, and orchestrating complex workflows while maintaining reproducibility, observability, and scalability. By combining flexibility with reliability, Flyte empowers data engineers, ML practitioners, and researchers to efficiently prototype, deploy, and manage production-grade workflows.

Features of Flyte:

• Offers a modular and extensible architecture for building and orchestrating data and ML workflows.
• Supports distributed execution across CPUs, GPUs, and cloud environments using Kubernetes.
• Ensures reproducibility and version control of workflows, tasks, and data artifacts.
• Integrates seamlessly with Python, PyTorch, TensorFlow, and other popular ML frameworks.
• Provides built-in observability, logging, and data lineage tracking through the Flyte Console.
• Enables scalability from local development to large-scale production deployment.

To check the installed version of Flyte, run these commands in your environment:

 $ sudo su 
$ sudo apt update 
$ flytectl version
 

Disclaimer: Flyte is an open-source workflow orchestration platform originally developed by Lyft and now maintained by the Flyte community under the LF AI & Data Foundation. It is designed for both research and production environments to enable scalable, reproducible, and automated data and ML pipelines. Always refer to the official Flyte GitHub repository and documentation for the most accurate and updated information.