Lamin
Lamin: A strong lineage and dataset platform, with experiment tracking as a secondary focus. Ranked #22 of 38 in ML Experiment Tracking Software by our editors (6.7/10); pricing: Free plan; best for teams prioritizing data and artifact lineage.
At a glance
- Editor score6.7 / 10
- PricingFree plan
- Best forTeams prioritizing data and artifact lineage
- Free planYes
- Founded2022 · Munich and New York City
- Facts checked21 Sep 2026

Where it wins
- Free artifact and dataset versioning with lineage tracking
- Git-like branching, merging, and change management
- Python, R, and broad ML workflow integrations
Where it doesn't
- Dedicated experiment-run comparison is not its primary focus
- Team features begin above the Free plan
- Hosted database and storage are reserved for paid tiers
Our verdict on Lamin
Lamin is an open-source data and lineage platform for machine-learning and biological research teams. It tracks notebooks, scripts, workflows, inputs, outputs, source code, and environments, while organizing datasets and artifacts across local and cloud storage. Teams can use it to manage schemas, validation, metadata annotation, registries, ontologies, and versioned collections. Lamin is a strong fit for groups that need traceable data and artifact workflows across research and machine-learning projects.
Its ecosystem supports Python and R programmatic access, web, API, and self-hosted deployments. Integrations include Git, Nextflow, Vitessce, Redun, Snakemake, PyTorch Lightning, Weights & Biases, MLflow, ClearML, Google Cloud Storage, AWS S3, and Hugging Face. The platform can track run, transform, and artifact lineage, query across datasets and storage formats, and provide Git-like branching, merging, and change management. These capabilities make it suitable for teams connecting data operations with existing experiment, workflow, and storage tools.
Lamin’s Free plan costs 0 USD per month and includes public database queries, open-source LaminDB, lineage tracking, dataset and artifact management, schema validation, and local and cloud storage access. Pro adds one hosted database, an individual account, hosted storage, hosted egress, and unlimited on-premises storage. Team adds an organizational account, DB server, fine-grained access permissions, audit logs, and single sign-on. Enterprise adds on-premises deployment in your AWS account. Choose Lamin when lineage, dataset versioning, and artifact management are central; teams seeking a tool centered primarily on experiment-run comparison may prefer a more specialized option.
Your product? Our editors can test Lamin in depth and publish a review, labelled as paid · from $149/mo →
Lamin pricing
All 4 Lamin plans and prices →
Lamin fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Run comparison | Not verified |
| Artifact tracking | Yes |
| Dataset versioning | Yes |
| Model registry | Not verified |
| Deployment options | Not verified |
| API and SDK access | Yes |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | SOC 2, ISO 27001, HIPAA |
| Support | Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 12 integrations: Git, Nextflow, Vitessce, Redun, Snakemake, PyTorch Lightning … See all → |
| Pricing | Free plan (source) |
| Website | lamin.ai |
| Facts checked | 21 Sep 2026 |
Lamin integrations
Lamin lists 12 integrations on its own site.
- Git
- Nextflow
- Vitessce
- Redun
- Snakemake
- PyTorch Lightning
- Weights & Biases
- MLflow
- ClearML
- Google Cloud Storage
- AWS S3
- Hugging Face
Alternatives to Lamin
- Weights & BiasesA broad ML platform that extends experiment tracking into production workflows.8.9
- ClearMLA broad MLOps platform with experiment tracking, data versioning, orchestration, and serving.8.8
- CometA polished experiment tracking platform with strong comparison, lineage, and registry tools.8.7
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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