ZenML
ZenML: A broad MLOps framework for teams standardizing runs, lineage, and deployment. Ranked #10 of 38 in ML Experiment Tracking Software by our editors (7.9/10); pricing: Free plan; best for teams standardizing MLOps across orchestrators.
At a glance
- Editor score7.9 / 10
- PricingFree plan
- Best forTeams standardizing MLOps across orchestrators
- Free planYes
- Paid from$999/mo
- Facts checked21 Sep 2026
Where it wins
- Tracks pipeline runs, metadata, artifacts, and lineage
- Connects with major orchestrators and experiment trackers
- Open-source tier includes orchestration, artifacts, and a model registry
Where it doesn't
- Dedicated experiment tracking is not its primary focus
- Scale is listed at $999 per month
- Managed compute is not provided as a ZenML capability
Our verdict on ZenML
ZenML is an open-source MLOps framework for defining, orchestrating, and deploying machine-learning pipelines and AI workflows. It is designed for teams that need a common stack abstraction across local and cloud orchestrators, artifact stores, experiment trackers, model registries, and cloud infrastructure. Its tracking capabilities cover pipeline runs, metadata, reproducibility, artifacts, and lineage, while model version management and deployment components extend the workflow toward production. Teams seeking a broader MLOps foundation should find the positioning relevant; teams wanting a narrowly focused experiment-tracking product may prefer a dedicated tracker.
The plan structure starts with Open Source, which includes pipeline and flow orchestration, artifact management, a basic model registry, and community support. Scale is listed at $999 per month and adds the Model Control Plane, Artifact Control Plane, Snapshots, and Codespaces for remote development. Enterprise adds SSO through SAML or OIDC, custom-role RBAC, audit logs, and air-gapped deployment. The published plans therefore move from a self-managed open-source framework to managed control-plane and enterprise deployment capabilities, while the core framework uses existing infrastructure rather than providing managed compute.
ZenML’s ecosystem fit is a central strength. It integrates with Apache Airflow, AWS, AzureML, Databricks, Docker, Google Cloud Vertex AI, Kubeflow, Kubernetes, MLflow, SageMaker, TensorBoard, and Weights & Biases. It can also connect with Comet and Neptune, and supports model deployment through deployer components and HTTP endpoints. This breadth suits organizations standardizing workflows across different orchestrators and tracking systems. The trade-off is scope: ZenML combines orchestration, lineage, registries, deployment, and tracking rather than centering solely on experiment analysis. Choose it for an integrated MLOps layer; choose a dedicated tracker when experiment tracking itself is the main requirement.
Your product? Our editors can test ZenML in depth and publish a review, labelled as paid · from $149/mo →
ZenML pricing
All 3 ZenML plans and prices →
ZenML fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $999/mo |
| Run comparison | Not verified |
| Artifact tracking | Not verified |
| Dataset versioning | Not verified |
| Model registry | Yes |
| Deployment options | Not verified |
| API and SDK access | Not verified |
| Deployment | Cloud, Self-hosted, Desktop, Browser extension |
| Platforms | Web, Linux, macOS, Windows |
| Compliance & security | SOC 2, ISO 27001, SSO/SAML |
| Support | Email, Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 66+ integrations: Apache Airflow, AWS, AzureML, Databricks, Docker, Google Cloud Vertex AI … See all → |
| Pricing | Free plan (source) |
| Website | zenml.io |
| Facts checked | 21 Sep 2026 |
ZenML integrations
ZenML lists 66+ integrations on its own site — the 12 named here are the ones its pages call out.
- Apache Airflow
- AWS
- AzureML
- Databricks
- Docker
- Google Cloud Vertex AI
- Kubeflow
- Kubernetes
- MLflow
- SageMaker
- TensorBoard
- Weights & Biases
Alternatives to ZenML
- Weights & BiasesA broad ML platform that extends experiment tracking into production workflows.8.9
- ClearMLA broad MLOps platform with experiment tracking, data versioning, orchestration, and serving.8.8
- CometA polished experiment tracking platform with strong comparison, lineage, and registry tools.8.7
Also Ranked In
ZenML is ranked in 3 of our directories.
Used ZenML? Be the first to review it
The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used ZenML for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
Write a reviewTwo minutes · verified accounts only · read by an editor before it appears
Featured on iTechGuides
ZenML is listed in our ML Experiment Tracking Software directory. Add the badge to your site — it links back to this page.
<a href="https://www.itechguides.com/products/zenml/"><img src="https://www.itechguides.com/best/badge/zenml.svg" alt="Featured on iTechGuides" width="230" height="46"></a>
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update