TiloBox
Back to directory
ZenML project preview
Developer ToolsAlternative to Vertex AIAlternative to SageMaker PipelinesAlternative to Kubeflow

ZenML

Extensible, open-source MLOps framework to create production-ready ML pipelines.

View on GitHub Visit website
LicenseApache-2.0
GitHub stars4.5k
Last commit1 weeks ago
Tags5 topics
Python ZenmlCloud Agnostic MlPipeline OrchestrationDevopsMlops Framework
Overview

Why consider ZenML?

ZenML is an open-source MLOps orchestration framework written in Python. It decouples machine learning model code from underlying cloud infrastructure (Kubeflow, Vertex AI, AWS SageMaker, Airflow), allowing data scientists to build portable pipelines that run identically across local workstations and cloud clusters.

Guided learning

Learn ZenML 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 ZenML

ZenML creates cloud-agnostic machine learning training pipelines with automated artifact tracking.

Quickstart

bash
1pip install zenml
2zenml init
3zenml pipeline run

ZenML is licensed under the Apache License Version 2.0.

Related tools

More options with a similar category or technology profile.

diskus logo

diskus

Minimal, fast alternative to du -sh written in Rust using multi-threaded directory traversal.

peco logo

peco

Simplistic interactive filtering tool for Unix pipelines, process lists, and file trees.

Dapr CLI logo

Dapr CLI

Command-line tool for managing Dapr distributed application runtime environments and sidecars.

Freeze logo

Freeze

Generate beautiful image screenshots and SVGs of code snippets and terminal outputs.

ZenML FAQs

ZenML 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.

ZenML 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.

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