Lamin review
A strong lineage and dataset platform, with experiment tracking as a secondary focus.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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.
Lamin pros and cons
- 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
Lamin fact sheet, pricing and score →
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