LaminDB: Manage data & analyses

Warning

Public beta: Support is currently only offered to partners & enterprise customers.

Curate, store, track, query, integrate, and learn from biological data.

Modular configurable data & analysis platform for hybrid R&D organizations to

1. query low- and high-dimensional data by biological entities

2. query data by provenance (users, notebooks, pipelines, instruments, etc.)

3. collaborate on data within and across organizations

with

1. an intuitive API to connect data and analytics infrastructure

2. zero lock-in danger due to an open-source & multi-cloud stack

3. a tool to easily manage schema module migrations in a changing R&D environment

4. support for learning from data across measured → relevant → derived features

5. support for fast-paced iterations and “development data” through data versioning, quality & integrity flags

LaminDB is a distributed data management system similar to how git is a distributed version control system. Each LaminDB instance is a data warehouse with storage (local directory, S3, GCP, Azure) and a SQL database (SQLite, Postgres, BigQuery) for querying it.

Install:

pip install lamindb

Get started:

• Tutorials walk you through setup and usage of the platform.

• Explore real-world examples.

• Browse the API reference.

• If you get stuck, see guides for edge cases & errors.

References:

• See lamin.ai/docs for an overview of associated open-source modules.

• Reach out to learn about modules that connect your assays, pipelines, instruments & workflows within our data platform enterprise offer.

• Read the following reports to learn about technology underlying LaminDB: …