---
id: lamindb
version: "2.9.1"
license: unclear
license_treatment: unclear
maintenance: active
---

# lamindb — Full/meta-package module for the `lamindb` distribution.

License: unclear · Maintenance: active · Downloads: 141.7K/mo

## What it is and what it does

LaminDB is an open-source data management platform designed to handle multimodal scientific datasets across heterogeneous storage backends (local, S3, GCP, etc.) with a lakehouse architecture. It combines metadata management (via SQLite or Postgres), file/array storage (parquet, zarr), and a schema-based registry to enable querying and governance of datasets, models, and computational runs. The package provides lineage tracking to trace data provenance across notebooks, scripts, and agent sessions; versioning and branching for data governance; and integrations with biological ontologies and workflow tools.

Typically used by research teams and biotech companies to organize experiments, manage datasets collaboratively, and ensure reproducibility. It ships as a meta-package that depends on lamindb-core and adds optional data-science dependencies. Users connect to a local or remote instance, register artifacts (files, DataFrames, AnnData objects, etc.), and query across federated datasets. The package includes a CLI for common operations (login, save, load) and a skill module for automatic tracking in AI agents.

Use it for:

- Organize and query large collections of biological datasets (gene expression, spatial data, biosamples) with schema-based metadata and ontology support.
- Track data lineage and code provenance across multi-step analysis pipelines to ensure reproducibility and audit trails.
- Manage collaborative research projects with versioned datasets, branching for parallel experiments, and federated access across storage locations.
- Integrate AI agent sessions with automatic logging of inputs, outputs, source code, and compute environments for reproducible agent-driven research.
- Govern changes to datasets and models using git-like branching and versioning for regulated or high-stakes biotech workflows.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

LaminDB is a data management system for organizing, querying, and governing multimodal datasets across diverse storage formats with built-in lineage tracking, versioning, and ACID compliance.

Yes, with conditions. LaminDB is actively maintained and has low install friction, making it suitable for research teams managing multimodal scientific data at scale. However, the license status is unclear—verify the actual license terms before adopting in proprietary or regulated environments. The package is well-suited for collaborative biotech and academic research but requires careful vetting of compliance obligations.

## Install

pip install lamindb
uv add lamindb
poetry add lamindb

## Installing lamindb

Before you install: Low install friction with a single runtime dependency (lamindb-core). Actively maintained with a recent release (10 days old) and steady repository activity. Supports modern Python versions (3.10–3.14).

License in practice: License status is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify the actual license terms before adopting in proprietary or regulated environments.

Quickstart:

pip install lamindb
import lamindb as ln
db = ln.DB("laminlabs/cellxgene")
df = db.Artifact.to_dataframe()

Requires Python 3.10 or later. A LaminDB instance (local or remote) must be initialized or connected before querying or saving artifacts.

Verify before relying:

- Actual license terms and compliance obligations—metadata shows 'unclear' treatment with no SPDX or raw license field.
- Whether the package is suitable for production use in regulated industries (e.g., pharma) given the license ambiguity.
- Performance characteristics and scalability limits for the claimed petabyte-scale deployments.

## Package facts

- License: not declared (unclear)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 141.7K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

data lineage tracking, multimodal dataset management, data governance and versioning, lakehouse architecture, scientific data registry, biodata management, artifact versioning and tracing, data-lineage, scientific-data, biodata

[View on SkillFed](https://skillfed.io/packages/lamindb) · [View on PyPI](https://pypi.org/project/lamindb/)