ZenML on Ubuntu 26.04

ZenML is an open-source MLOps framework used for building, managing, and deploying machine learning pipelines in a structured and reproducible way. It helps data scientists and ML engineers connect different tools for training, tracking, and deployment into a unified workflow.

• Provides a standardized framework for ML pipeline creation and orchestration.
• Supports reproducible and versioned machine learning workflows.
• Integrates easily with tools like MLflow, Kubeflow, and cloud platforms.
• Enables experiment tracking and model lineage management.
• Supports multiple backends for pipeline execution (local, cloud, Kubernetes).
• Offers modular step-based pipeline design for flexibility and scalability.
• Includes built-in support for CI/CD in ML workflows.
• Provides a CLI and dashboard for managing pipelines and runs.

Activate VENV, run : 
$sudo su
$source zenml-env/bin/activate

To check version of ZenML, run: $zenml version

Disclaimer: ZenML is an open-source MLOps framework designed to simplify machine learning pipeline development. It abstracts infrastructure complexity while allowing integration with modern ML tools and deployment systems. Proper Python version compatibility (3.10–3.13) is required for stable installation and usage.