Manage data & analyses with an open-source Python framework. Collaborate across dry and wetlab in a distributed data hub.
Get started on your laptop and deploy anywhere.
No more wrangling queries across fragmented data lakes & ELN/LIMS systems.
Use one API & UI to access & manage data and metadata. Bridge data artifacts and warehousing. Plug in custom schemas and manage migrations with ease.
No more guessing where an analytical result came from.
Rely on and understand how data transforms across notebooks, pipelines & UI. Integrate with workflow managers like redun, Nextflow, and Snakemake.
No more confusion about fundamental entities.
Manage Gene, Protein, CellType, CellLine, Tissue, Disease, etc. records in ontology-aware registries. Import data from public ontologies with ease. Navigate entities with auto-completion.
No more typos, duplicates and multiple names for the same thing.
Validate and standardize with one-line API calls. Annotate your data with untyped or typed labels & features.
No more never-ending alignment on schemas across teams.
Instantly create & load LaminDB instances like git repositories and collaborate on them in LaminHub. Zero-copy transfer data across instances.
No more monstrous notebooks & scripts that do everything.
Use an atomic iterative process to consistently transform files into more useful representations: validated, queryable datasets and analytical insights.