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About lamindb
lamindb
Manages biological datasets and models
lamindb is an agent skill for managing biological datasets and models with LaminDB. It covers registering artefacts, curating DataFrame and AnnData metadata, querying annotated artefacts, tracking lineage for scientific scripts and workflows, validating schemas, and annotating with Bionty ontologies. LaminDB keeps metadata in SQLite or PostgreSQL, and keeps the files in configured storage. The skill is clear that registration alone does not establish scientific validity or FAIR compliance. It targets LaminDB 2.10.0 and Bionty 2.5.0. The local examples were run on Python 3.12 with pandas 3.0.6 and AnnData 0.13.2, and the skill notes that this LaminDB release caps AnnData at 0.13.2, so the dependency constraints must be kept. It also says to install IPython for the registry synonym helpers, because one of them imports it in this release. Use it when you want a reproducible record of which dataset, model or script produced which result, with metadata that other people can query. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,800 installs.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/lamindb