Lamin vs ZenML
Lamin
lamin.aiZenML
zenml.ioSide by side
| Figure | Lamin | ZenML |
|---|---|---|
| Price from | $20/mo | $999/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 3 |
| Spec score · ML Experiment Tracking Software | 8.3 (#6) | 7.8 (#11) |
| Deployment | The Enterprise plan includes full on-prem deployment in the customer's AWS account. | ZenML supports local, SaaS, and self-hosted deployment, including Docker and Kubernetes Helm deployment methods. |
| Headquarters | Munich and New York City | Munich, Germany |
| Integrations | Documented integrations include Claude Code, GitHub Copilot, Cursor, Git, Nextflow with Seqera, PyTorch Lightning, Weights & Biases, MLflow, and Vitessce. | The integrations directory lists 66 tools, including LangGraph, OpenAI Agents SDK, PyTorch, MLflow, AWS, and Google Cloud Vertex AI Pipelines. |
| Security | Lamin says it is SOC 2 certified and monitors compliance with HIPAA and ISO 27001; Lamin-managed deployments encrypt data in transit and at rest. | ZenML states that it is SOC 2 Type II and ISO 27001 certified. |
Plans
In their own words
Lamin
LaminDB is Lamin's open-source, format-agnostic lakehouse and programmable memory layer for research and development. It tracks data, code and agent activity across notebooks, scripts and workflows, and provides schema-based records for LIMS and ELN use cases, including ontologies and notes. Users can validate and annotate datasets, then manage changes through branching and versioning data and code. Documented integrations include Claude Code, GitHub Copilot, Cursor, Git, Nextflow with Seqera, PyTorch Lightning, Weights & Biases, MLflow and Vitessce. Read/write storage includes local filesystems, AWS S3, S3-compatible services such as MinIO and Cloudflare R2, and Google Cloud Storage; HTTP/HTTPS and Hugging Face are read-only. Lamin provides web, API and self-hosted options. The Free plan is free for open assets and public database queries, with no hosted database listed. Pro is $20 a month billed annually. Team and Enterprise are each $200 a month billed annually per seat; Enterprise includes full on-prem deployment in the customer's AWS account. Lamin says it is SOC 2 certified and encrypts Lamin-managed deployments in transit and at rest. The maker was founded in 2022 and is headquartered in Munich and New York City.
ZenML
ZenML orchestrates AI and machine-learning pipelines and agents written in Python. Pipelines can run on Kubernetes, Vertex AI, SageMaker, AzureML, or a laptop without rewriting code. ZenML versions step outputs such as models and evaluation datasets, supports re-execution from any step, and reuses cached results when code and inputs have not changed. Deployment choices include local, SaaS, and self-hosted setups, with Docker and Kubernetes Helm methods. ZenML says it stores metadata while data, artifacts, and compute remain in the customer's infrastructure or VPC. Its integrations directory lists 66 tools, including LangGraph, OpenAI Agents SDK, PyTorch, MLflow, AWS, and Google Cloud Vertex AI Pipelines. The self-hosted Open Source plan is free and includes unlimited executions and projects. Scale costs $999 a month and includes 2,000 executions, three projects, and five snapshots. Enterprise has custom pricing and adds SSO, custom-role RBAC, audit logs, and air-gapped deployment. ZenML says it is SOC 2 Type II and ISO 27001 certified.