Lamin
6.7#7 in ml experiment tracking softwareFrom $20 a monthFree planWebAPISelf-hosted
VisitLamin vs Metaflow
What both publish
| Fact | Lamin | Metaflow |
|---|---|---|
| Deployment | The Enterprise plan includes full on-prem deployment in the customer's AWS account. | Workflows can be deployed to production with one command and can react to events. |
| Integrations | Documented integrations include Claude Code, GitHub Copilot, Cursor, Git, Nextflow with Seqera, PyTorch Lightning, Weights & Biases, MLflow, and Vitessce. | Documented integrations include AWS Batch, AWS Step Functions, Kubernetes, Argo Workflows, and Apache Airflow. |
| Intended users | Lamin says LaminDB serves personal R&D projects through pharma-scale enterprise deployments and describes its community as scientists and engineers in academia, biotech, and global pharma. | Metaflow is aimed at data scientists and ML/AI engineers; its documentation says it offers little benefit for small notebook experiments with no scaling, criticality, or complexity needs. |
Lamin plans
- FreeFree
- Pro$20 a month
- Enterprise$200 a month
- Team$200 a month
Metaflow plans
- Open-source MetaflowFree
Pick Lamin if…
Lamin suits scientists and engineers in academia, biotech, and pharma who need to track and govern research data, code, and workflows. Its plans span personal R&D projects through enterprise use.
Pick Metaflow if…
Metaflow is suited to data scientists and ML or AI engineers building workflows that may need scaling. It is less useful for simple notebook experiments without scaling or operational complexity needs.