Lamin vs Isomorphic Labs
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Lamin | Isomorphic Labs |
|---|---|---|
| Pricing | Freemium (open-source, self-hosted free; cloud hub plans start at $0) | Enterprise contact-based (no public pricing) |
| Target Users | Computational biology researchers, ML engineers, biotech R&D teams | Large pharma companies seeking AI drug discovery partnerships |
| Core Technology | Open-source data lakehouse with lineage tracking, bio-format support, and Git-like branching | Proprietary AI models built on AlphaFold for predictive and generative drug design |
| Deployment | Self-hosted on local, S3, GCP, Azure, R2; cloud hub managed option | Private partnership (no public API or software) |
| Key Integrations | Nextflow, Snakemake, W&B, MLFlow, Postgres, SQLite, cloud storage | Not disclosed (closed partnership model) |
| Latest News Impact | 2.5B transcriptional profiles queryable via hub 1.44; db 2.7 improves speed & Record API | Series B (2026-05); J&J collaboration (2026-01); $600M funding (2025-03) |
If you are a computational biology lab or biotech needing to manage and trace large multi-omics datasets with open-source flexibility, Lamin is the clear choice—it's free, self-hosted, and integrates with your existing workflows. If you are a large pharma company seeking a high-risk, high-reward AI drug discovery partnership (with no public software access), Isomorphic Labs is the only option, but only if you can afford its enterprise-only, closed model. For most individual researchers and small teams, Lamin is immediately actionable; Isomorphic Labs is not accessible.
Lineage-native, format-agnostic lakehouse for traceable, multimodal AI in biology.
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AI-native drug discovery partner building on AlphaFold to help pharma solve disease.
Visit WebsiteWhat real users say: Lamin vs Isomorphic Labs
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Lamin
42 mentions across 3 sources · 10% positive — critical
YouTube, GitHub, Lemmy
What users praise
- • Provides lineage tracking for biological data with a single line of code.
- • Unified query interface across multiple storage formats and databases.
- • Open-source core with flexible storage options including S3, GCP, Azure.
- • Supports bio-registries and ontologies for standardizing biological data.
What frustrates them
- • No community feedback available to assess real-world performance.
- • Potential confusion with other similarly named products (Lamini).
- • Documentation may be insufficient, as inferred from Lamini's issues.
- • Installation issues reported for similar tools suggest possible setup hurdles.
Researched Aug 4, 2026
Isomorphic Labs
48 mentions across 3 sources · 82% positive
Hacker News, YouTube, Lemmy
What users praise
- • Built on the Nobel-winning AlphaFold, giving it instant credibility in structural biology.
- • Drug Design Engine extends beyond structure to generative molecule design, promising novel chemistry.
- • Deep partnerships with Novartis and J&J, with potential billions in royalties.
- • Interdisciplinary team of top ML and drug discovery experts, ensuring depth of expertise.
What frustrates them
- • Not accessible to individual researchers or small biotech due to partnership model only.
- • Proprietary nature of parts of its tech limits community scrutiny and independent validation.
- • CASP16 results suggest AlphaFold 3-based models aren't always better than older methods for protein-ligand interactions.
- • No marketed drugs yet; outcomes remain uncertain with royalties tied to long timelines.
Researched Aug 18, 2026
Who should pick which
- Solo founderPick: Lamin
Lamin is open-source and free to self-host, with lineage tracking and bio-format support ideal for managing multi-omics data from a single researcher's laptop to cloud storage. Isomorphic Labs requires large pharma partnerships and has no public access.
- Pharma R&D teamPick: Isomorphic Labs
If the team is part of a large pharma with resources for an AI partnership, Isomorphic Labs provides advanced predictive and generative models built on AlphaFold for drug design. However, Lamin could supplement this with data management.
- Academic labPick: Lamin
Lamin's open-source nature, FAIR compliance, and zero-copy sharing align with academic needs for reproducibility and low cost. Isomorphic Labs is inaccessible to academia without a pharma partnership.
- Biotech startup needing ML pipeline trackingPick: Lamin
Lamin integrates with Nextflow, Snakemake, W&B, and MLFlow, providing full lineage for ML experiments on biological data. Isomorphic Labs does not offer such infrastructure.
- Big pharma executive exploring AI partnershipsPick: Isomorphic Labs
Isomorphic Labs offers a proven AI drug design engine with Nobel-winning AlphaFold foundation and partnerships with Novartis and J&J. Lamin is complementary but not a direct replacement for AI-driven molecule design.
Frequently Asked Questions
Lamin vs Isomorphic Labs: which should you choose?
If you are a computational biology lab or biotech needing to manage and trace large multi-omics datasets with open-source flexibility, Lamin is the clear choice—it's free, self-hosted, and integrates with your existing workflows. If you are a large pharma company seeking a high-risk, high-reward AI drug discovery partnership (with no public software access), Isomorphic Labs is the only option, but only if you can afford its enterprise-only, closed model. For most individual researchers and small teams, Lamin is immediately actionable; Isomorphic Labs is not accessible.
Can I use Lamin to track AI model training experiments?
Yes, Lamin integrates with MLFlow, Weights & Biases, and workflow managers like Nextflow, allowing you to trace data lineage from raw datasets to trained models.
Is Isomorphic Labs' software available for individual researchers?
No, Isomorphic Labs only partners with large pharma companies. It does not offer a public API or software for individual use.
Does Lamin support non-biology scientific data?
Lamin is designed for biology (bio-registries, ontologies). It lacks built-in support for other scientific fields, though its data lakehouse approach could be adapted.
What is the latest version of Lamin's hub?
As of June 29, 2026, hub 1.44.2 is the latest, with bug fixes for sheets with union dtype columns.
Can I deploy Lamin on-premise behind a firewall?
Yes, Lamin is open-source and can be self-hosted on local servers or cloud storage with no vendor lock-in.
Does Isomorphic Labs have any public pricing tiers?
No, pricing is contact-only and negotiated per partnership. The company is funded by $600M+ investment, not software sales.
What is the Arc Virtual Cell Atlas mentioned in Lamin news?
Lamin's hub 1.43.0 provides a database mirror for the Arc Virtual Cell Atlas (600M cells, 41TB), enabling entity queries and zero-copy sharing for transcriptional profiles.
How does Isomorphic Labs' Drug Design Engine work?
It combines predictive models (AlphaFold for protein structures) and generative AI to design novel molecules, accessible only via partnership with pharma companies.
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Last reviewed: July 3, 2026