ZenML
An orchestration platform for building and deploying AI workflows with full reproducibility and governance
- Also known as
- zenml
Available worldwide · Popular in: US
What is ZenML?
ZenML is an open-source MLOps and LLMOps platform that manages model training, evaluation, deployment, and agent execution workflows. It provides experiment tracking, artifact versioning, and audit trails for compliance, with options for self-hosted deployments or a managed cloud service.
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.
Free open-source version; managed Pro service available
Community
FreeOpen-source self-hosted version with no license cost
- experiment tracking
- pipeline orchestration
- artifact storage
- model versioning
Pro
Managed cloud service with governance and SSO features
- managed control plane
- governance
- SSO
- SLA support
- audit trails
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
- -
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
- Hybrid
- On-premise
- Self-hosted
Integrations (25)
Independently observed- Slack⇄•
- ClickUp⇄•
- MLflow→•
- Trackio→•
- Databricks⇄•
- OpenAI⇄•
- LangGraph⇄•
- PyTorch⇄•
- scikit-learn⇄•
- PyTorch Lightning⇄•
- Axolotl⇄•
- Hugging Face⇄•
- LlamaIndex⇄•
- AzureML⇄•
- AWS⇄•
- Google Cloud⇄•
- Azure⇄•
- DigitalOcean⇄•
- Kubeflow⇄•
- Git
- GitHub
- GitLab
- Kubernetes
- Docker
- Poetry
Security & compliance
Independently observed- SOC 2active
- ISO 27001active
Known vulnerabilities: 14 (1 in the last 12 months), max severity CRITICAL sourcea count reflects scale & disclosure, not quality
ZenML FAQ
Common questions about ZenML, answered from independent, dated evidence.
What is ZenML?
An MLOps framework that provides reproducible machine learning pipelines with automatic logging, versioning, and observability. Includes agent runtime capabilities (Kitaru) for building replayable agent workflows, deployable on your existing infrastructure without vendor lock-in. It is indexed under MLOps & LLMOps Tools.
Is ZenML free to use?
ZenML is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Paid editions are also offered: Pro, priced on request. Pricing changes often, so verify at source before relying on it.
What platforms does ZenML support?
ZenML supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Can ZenML be self-hosted?
Yes. ZenML can be deployed cloud / SaaS, hybrid, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.
What does ZenML integrate with?
We have confirmed 4 integrations for ZenML, including Git, Kubernetes, Docker and Poetry. This is what we could verify from public sources, so the vendor may support others we have not indexed.
What security certifications does ZenML have?
We have independently confirmed SOC 2 and ISO 27001 for ZenML. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as ZenML not holding them. Always confirm compliance directly before you rely on it.
Source: https://www.zenml.io
Is ZenML open source?
Yes. ZenML is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
ZenML alternatives
Other mlops & llmops tools we track, ranked by the same independent score.
- PortkeyAn API gateway for routing requests across thousands of language models with built-in safety guardrailshigh · 76%
- LangChainA platform for building, testing, and operating AI agents at scalemedium · 70%
- BasetenAn inference platform for deploying and running AI models at scalemedium · 73%
- Together AICloud platform for deploying and running open-source AI models with optimized inferencemedium · 61%
- OllamaA platform for running open-source language models locally or in the cloud with cost-effective access.medium · 57%
- RayDistributed computing infrastructure for scaling machine learning applicationsmedium · 65%
Compare ZenML
Side by side against other mlops & llmops tools, attribute by attribute, with a source on every value.
The vioscaleAI 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 | 100 | 0.07 | 7.0 | ✓ |
| Development activity | 51 | 0.09 | 4.8 | ✓ |
| Release cadence | 92 | 0.05 | 4.8 | ✓ |
| Security posture | 65 | 0.06 | 4.1 | ✓ |
| Integrations | 51 | 0.08 | 4.0 | ✓ |
| Security score | 67 | 0.04 | 2.8 | ✓ |
| Stars | 71 | 0.03 | 1.8 | ✓ |
| Dependent projects | 28 | 0.06 | 1.7 | ✓ |
| Package downloads | 0 | 0.14 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 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 | 41 | mediumsource · 2026-09-10 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 7 items | mediumsource · 2026-09-10 · 63% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Role: platform · Evaluation: Yes · Managed cloud: Yes · Model serving: Yes · Self hostable: Yes · Multi provider: Yes | mediumsource · 2026-09-10 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 60 | mediumsource · 2026-09-10 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-09-10 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-09-10 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | mediumsource · 2026-09-10 · 50% |
Pricing
Release
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-03 · 60% |
Security
| Attribute | Value | Evidence |
|---|---|---|
| Iso27001 | Yes | highsource · 2026-09-10 · 75% |
| Soc2 | Yes | highsource · 2026-09-10 · 75% |
| Scorecard | 6.7 | highsource · 2026-09-10 · 90% |
| Vulnerabilities | Count: 14 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=zenml&per_page=100 · Last 12m: 1 · Max severity: CRITICAL | highsource · 2026-09-10 · 90% |
| Certifications | SOC 2, ISO 27001 | mediumsource · 2026-09-10 · 60% |
| Trust center | https://www.zenml.io/features/security-guardrails-always | mediumsource · 2026-09-10 · 60% |
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