What is ZenML?
Unified MLOps platform for reproducible ML pipelines and production-ready AI agents, deployable on any infrastructure.
ZenML pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
From $999/month. Free tier available.
Open Source
FreeFor individuals and small teams
- projects
- Unlimited
- executions
- Unlimited
- Pipeline & flow orchestration
- Artifact management
- Model registry (basic)
- Community support
Scale
For teams running ML in production
- projects
- 3
- snapshots
- 5
- executions
- 2,000/month
- Everything in Open Source
- Model Control Plane
- Artifact Control Plane
- Snapshots
- Codespaces (remote IDE)
- Durable execution for Python agents
- Checkpoints, replay, wait/resume
- Dashboard, API, schedules, webhooks
- Distributed execution
Enterprise
Contact salesFor organizations at scale
- projects
- Unlimited
- executions
- Unlimited
- Everything in Scale
- SSO (SAML / OIDC)
- RBAC (custom roles)
- Advanced native scheduling
- Audit logs
- Air-gapped deployment
- Dedicated support + SLA
What ZenML does
The capabilities that matter for mlops & llmops tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Tool role
- End-to-end ML platform
- Self-hostable / OSS core
- ✓
- Managed cloud available
- ✓
- On-prem / VPC deployment
- ✓
- LLM tracing / observability
- ✓
- Evaluation (offline / LLM-judge / human)
- ✓
- Prompt management + versioning
- -
- Experiment tracking / model registry
- ✓
- Model serving / inference endpoint
- -
- OpenTelemetry / OpenLLMetry compatible
- -
- Framework-agnostic
- ✓
- Multi-provider model support
- ✓
- No-train-on-customer-data guarantee
- Yes
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
- Air-gapped
- Self-hosted
Integrations (5)
Independently observed- Kubernetes
- Google Vertex AI
- AWS SageMaker
- Azure ML
- Airflow
ZenML alternatives
Other mlops & llmops tools we track, ranked by the same independent score.
- OllamaThe easiest way to build with open modelslow · 22%
- OllamaThe easiest way to build with open modelslow · 45%
- BasetenInference is everythinglow · 47%
- PortkeyProduction Stack for Gen AI Builderslow · 46%
- MLflowOpen Source AI Platform for Agents, LLMs & Modelslow · 47%
- Weights & BiasesThe AI developer platformlow · 25%
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for ZenML, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 92 | 32.00 | 2932.2 | ✓ |
| Pricing Transparency | 100 | 16.00 | 1600.0 | ✓ |
| Release Cadence | 92 | 10.00 | 922.2 | ✓ |
| Github Activity | 49 | 18.00 | 875.0 | ✓ |
| Security Posture | 65 | 12.00 | 780.0 | ✓ |
| Reliability | 50 | 12.00 | 600.0 | ✓ |
| Integrations | 22 | 18.00 | 402.8 | ✓ |
| Github Stars | 71 | 5.00 | 353.0 | ✓ |
| Price Level | 25 | 10.00 | 250.0 | ✓ |
| Package Downloads | 0 | 26.00 | 0.0 | - |
| Stackoverflow Activity | 0 | 12.00 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 34 | mediumsource · 2026-08-03 · 65% |
Adoption
| Attribute | Value | Evidence |
|---|---|---|
| Github stars | 5,531 | highsource · 2026-08-03 · 90% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | {"role":"platform","evaluation":true,"managed_cloud":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"no_train_on_data":"yes","llm_observability":true,"framework_agnostic":true,"experiment_tracking":true} | mediumsource · 2026-08-03 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 5 | mediumsource · 2026-08-03 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-08-03 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-08-03 · 95% |
Pricing
Release
| Attribute | Value | Evidence |
|---|---|---|
| Cadence days | 14 | mediumsource · 2026-08-03 · 70% |
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-03 · 60% |