ftm-lakehouse 0.1.2

Data standard, storage and retrieval for structured and unstructured FollowTheMoney data

ftm-lakehouse

ftm-lakehouse provides a data standard and archive storage for leaked data, private and public document collections. The concepts and implementations are originally inspired by mmmeta and Aleph's servicelayer archive.

ftm-lakehouse acts as a multi-tenant storage and retrieval mechanism for structured entity data, documents and their metadata. It provides a high-level interface for generating and sharing document collections and importing them into various search and analysis platforms, such as OpenALeph, ICIJ Datashare or Liquid Investigations

Installation

Requires python 3.11 or later.

pip install ftm-lakehouse

Documentation

openaleph.org/docs/lib/ftm-lakehouse

Development

This package is using poetry for packaging and dependencies management, so first install it.

Clone this repository to a local destination.

Within the repo directory, run

poetry install --with dev

This installs a few development dependencies, including pre-commit which needs to be registered:

poetry run pre-commit install

Before creating a commit, this checks for correct code formatting (isort, black) and some other useful stuff (see: .pre-commit-config.yaml)

Testing

ftm-lakehouse uses pytest as the testing framework.

make test

License and Copyright

ftm-lakehouse, (c) 2024 investigativedata.io

ftm-lakehouse, (c) 2025 Data and Research Center – DARC

ftm-lakehouse is licensed under the AGPLv3 or later license.