What is Zenml used for?

ZenML orchestrates AI pipelines and agents on chosen infrastructure; Kitaru replays agents on production data before changes ship. It is a good fit for centralizing ML on Kubernetes, decreasing time-to-market for AI workflows and accelerating model development.

Is Zenml open source?

Yes. Zenml is open source under the Apache-2.0 licence. Its source code is on GitHub at zenml-io/zenml and is written mainly in Python.

Yes. Zenml is open source, so the software itself is free to use. A managed cloud version is also available.

Can I self-host Zenml?

Yes. Zenml can be self-hosted on your own server or infrastructure.

What is Zenml an alternative to?

Zenml is an open-source alternative to Vellum and NVIDIA AI Enterprise. Other open-source alternatives to Vellum include Kubeflow, LlamaIndex and Agenta.

Is Zenml actively maintained?

Yes. The most recent commit to Zenml was on 13 October 2026, and the latest release is 0.97.0, published on 23 September 2026. The project has 5.6k stars on GitHub.

Zenml: open-source alternative to Vellum

About Zenml

ZenML is an open-source platform that orchestrates AI pipelines and agents. It allows users to write pipelines and agents in Python and run them on various orchestrators and clouds without rewriting, from a laptop to Kubernetes.

Kitaru is a companion tool that replays agents on production data. It imports sessions agents have run, finds repeats, and replays changes to show improvements, regressions, and costs before shipping.

Key features

Orchestrates pipelines and agents in Python on chosen orchestrator and cloud
Replays agents on production data to evaluate changes before shipping
Open source under Apache 2.0 license
SOC 2 Type II and ISO 27001 certified on user-owned infrastructure

Good fit for

Centralizing ML on Kubernetes
Decreasing time-to-market for AI workflows
Accelerating model development

Built with: Python tools
Tags: ai orchestration; pipelines; agents; replay; open source; kubernetes

Zenml: questions and answers

What is Zenml used for?: ZenML orchestrates AI pipelines and agents on chosen infrastructure; Kitaru replays agents on production data before changes ship. It is a good fit for centralizing ML on Kubernetes, decreasing time-to-market for AI workflows and accelerating model development.
Is Zenml open source?: Yes. Zenml is open source under the Apache-2.0 licence. Its source code is on GitHub at zenml-io/zenml and is written mainly in Python.
Is Zenml free?: Yes. Zenml is open source, so the software itself is free to use. A managed cloud version is also available.
Can I self-host Zenml?: Yes. Zenml can be self-hosted on your own server or infrastructure.
What is Zenml an alternative to?: Zenml is an open-source alternative to Vellum and NVIDIA AI Enterprise. Other open-source alternatives to Vellum include Kubeflow, LlamaIndex and Agenta.
Is Zenml actively maintained?: Yes. The most recent commit to Zenml was on 13 October 2026, and the latest release is 0.97.0, published on 23 September 2026. The project has 5.6k stars on GitHub.