About
LaminDB is a specialized data framework designed for biology that transforms messy research datasets into queryable, traceable, and reproducible lakehouses. It provides a unified Python API for managing complex biological data types like scRNA-seq and spatial transcriptomics while enforcing standardized metadata through built-in biological ontologies. By automating data lineage and version control, it helps research teams maintain FAIR (Findable, Accessible, Interoperable, Reusable) data standards and integrates seamlessly with workflow managers like Nextflow and MLOps tools like Weights & Biases.