Open Source
For individuals and small teams
Self-hosted · Your infrastructure, your limits
Includes
- Import and record without limits
- Cohorts, evaluators and experiment runs
- Replay on your own workers, with your own keys
- Community support
Pricing
Start open source and self-hosted. Upgrade to Pro for the managed control plane — on our SaaS or your own infrastructure.
One flat plan while we launch: $39 a month, every feature, no meters to read. The trial starts with full access and needs no credit card. Learn about Kitaru →
For individuals and small teams
Self-hosted · Your infrastructure, your limits
Includes
For teams shipping agents to customers
3 agents · 2 seats · 90-day session retention
Everything in Open Source, plus
For organizations at scale
Unlimited agents · Custom seats and retention
Everything in Cloud, plus
Executions are ZenML pipeline runs. Kitaru is priced separately as a flat monthly plan — one subscription covers both workspaces. Learn about ZenML →
For individuals and small teams
Unlimited executions · Unlimited projects
Includes
For teams running ML in production
2,000 executions · 3 projects · 5 snapshots
Everything in Open Source, plus
For organizations at scale
Unlimited executions · Unlimited projects
Everything in Scale, plus
One flat plan at launch — $39 a month, every feature, 14-day full-access trial. No meters, no usage math.
| Plans | Open Source | Cloud | Enterprise |
|---|---|---|---|
| Plan | |||
| Price | Free | $39 / month | Custom |
| Free trial | — | 14 days, full access | — |
| Credit card to start | Never | Not for the trial | — |
| Replay & evals — every plan | |||
| Replay-based evals (Python & TypeScript) | |||
| Cohorts, evaluators and experiment runs | |||
| Replay on your own workers, with your own keys | |||
| Imports, recordings and scoring — no usage caps | |||
| Limits | |||
| Agents | Self-hosted | 3 | Unlimited |
| Seats | Self-hosted | 2 | Custom |
| Session retention | Self-hosted | 90 days | Custom |
| Hosted control plane | |||
| Hosted dashboard and control plane | |||
| Role-based access (standard roles) | |||
| Enterprise & governance | |||
| SSO (SAML / OIDC) | |||
| Audit logs | |||
| Remote worker pools | |||
| Support | |||
| Support level | Community | Community | Dedicated + SLA |
| View on GitHub | Sign up free | Talk to an engineer | |
Open Source and Pro — with Scale and Enterprise feature tiers.
| Plans | Open Source | Scale | Enterprise |
|---|---|---|---|
| Core platform | |||
| Pipeline & flow orchestration | |||
| Artifact management | |||
| Model registry (basic) | |||
| Pro control plane | |||
| Model Control Plane ↗ | |||
| Artifact Control Plane ↗ | |||
| Snapshots ↗ | |||
| Codespaces (remote IDE) | |||
| Agent evals | |||
| Replay-based evals (Python & TypeScript) | |||
| Unlimited imports, scoring and seats | |||
| Hosted dashboard and control plane | |||
| Remote worker pools | |||
| Enterprise & governance | |||
| SSO (SAML / OIDC) | |||
| RBAC (custom roles) ↗ | |||
| Advanced native scheduling | |||
| Audit logs | |||
| Air-gapped deployment | |||
| Support | |||
| Support level | Community | Priority | Dedicated + SLA |
| Get Started | Book a demo | Talk to an engineer | |
Kitaru
ZenML
Switch SDKs without switching tools, billing, or governance. ZenML for reproducible ML. Kitaru for replay-based agent evals. Same control plane underneath.
Reproducible training, batch inference, evaluation. One DAG, versioned artifacts, every orchestrator.
Import your whole trace history, replay it against your next change, and keep every fix as a regression test — on one flat plan.
Same control plane. Same governance. One bill covers both.
Apply for a special price to access ZenML Pro features for early-stage companies building ML-powered products, universities, research institutions, and educational use cases.
No compliance headaches
ZenML is a metadata layer on top of your existing infrastructure, meaning all data and compute stays on your side.



ZenML is SOC2 and ISO 27001 Compliant
ZenML is SOC2 and ISO 27001 compliant, validating our adherence to industry-leading standards for data security, availability, and confidentiality in our ongoing commitment to protecting your ML workflows and data.
Join the ZenML Community and start improving your MLOps
1,000,000
pipelines run in ZenML
100,000
pipelines run last month
21,000
stacks registered last 12 months
200,000
models trained last 12 months
"ZenML offers the capability to build end-to-end ML workflows that seamlessly integrate with various components of the ML stack, such as different providers, data stores, and orchestrators."

Harold Giménez
SVP R&D at HashiCorp




Enterprise-grade MLOps platform trusted by thousands of companies in production.