lamindb

A data framework for biology.

LaminDB helps you manage data batches with two basic registries:

File()	Files: data batches (blobs & array shards).
Dataset()	Datasets: collections of data batches.

Four registries track provenance of data batches:

Transform()	Transforms of files & datasets.
Run()	Runs of transforms.
User()	Users.
Storage()	Storage locations.

Three registries validate & contextualize:

ULabel()	Universal label ontology.
Feature()	Dimensions of measurement.
FeatureSet()	Jointly measured sets of features.

You can also access data directly via paths:

UPath(*args, **kwargs)

Paths: low-level key-value access to files & objects.

Functions:

track([transform, new_run, reference, ...])	Track global Transform & Run for a notebook or pipeline.
view([n, schema, registries])	View latest metadata state.
save(records[, ignore_conflicts])	Bulk save to registries & storage.

Modules & settings:

settings	Global Settings.
setup	Setup & configure LaminDB.
dev	Developer API.