Lamin
6.7#7 in ml experiment tracking softwareFrom $20 a monthFree planWebAPISelf-hosted
VisitLamin vs Weights & Biases
Weights & Biases
8.3#1 in ml experiment tracking softwareFrom $60 a monthFree planAndroidiOSWebAPI
VisitWhat both publish
| Fact | Lamin | Weights & Biases |
|---|---|---|
| Deployment | The Enterprise plan includes full on-prem deployment in the customer's AWS account. | W&B offers multi-tenant SaaS, isolated dedicated cloud and customer-managed cloud or on-premises deployments. |
| Founded | 2022 | LinkedIn lists the company as founded in 2017. |
| Headquarters | Munich and New York City | San Francisco, California, United States |
| Integrations | Documented integrations include Claude Code, GitHub Copilot, Cursor, Git, Nextflow with Seqera, PyTorch Lightning, Weights & Biases, MLflow, and Vitessce. | W&B is designed to integrate with customers' ML stacks and tools and offers managed or self-managed deployment choices. |
| Product | LaminDB is described as an open-source, format-agnostic lakehouse and programmable memory layer for R&D. | Weights & Biases describes itself as an AI developer platform for building AI agents, applications, and models. |
| 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. | The SaaS deployment states SOC 2 Type 2 certification, team-level data isolation and SSO support. |
Lamin plans
- FreeFree
- Pro$20 a month
- Enterprise$200 a month
- Team$200 a month
Weights & Biases plans
- FreeFree
- PersonalFree
- Pro$60 a month
- Advanced EnterprisePriced on request
- EnterprisePriced on request
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 Weights & Biases if…
It suits AI developers working on model training, fine-tuning, AI applications, or production monitoring. The free tier may fit smaller projects, while larger teams should note the stated Pro-to-Enterprise transition guideline.