LaminDB gives you a framework for managing complex typed metadata schema-full:
Any LaminDB instance can plug in an arbitrary number of schemas
Each schema is a Python package that defines an arbitrary number of data models
Every data model is a Registry and comes with an auto-generated corresponding SQL table
Basic data management:
The core schema is built into the core LaminDB API, but it’s managed as its own Python package
lnschema_core with repository here.
View the schema#
For your given instance, you view the registries by running
lamin schema view on the command line.
In your browser, navigating to
<localhost>/schema/ will show an interactive version of graph similar to the one on the right.
Basic biological entities:
You can set up your own schemas & registries or reach out for support within Lamin’s enterprise plan.
The only convention required by LaminDB for plugging in a valid (minimal) Django app.
You’ll see how simple it is if you look at this example: github.com/laminlabs/lnschema-lamin1.
Schema management needs two CLI calls (see Install & setup):
lamin migrate create
lamin migrate deploy