Skip to main content

Store raw and structured FollowTheMoney data from different datasets in a data lake

Project description


This library provides methods to store, fetch and list entities formatted as followthemoney data as datasets stored in a SQL backend.


Command-line usage

# Insert a bunch of FtM entities into a store:
$ cat ftm-entities.ijson | ftm store write -d my_dataset
# Re-create the entities in aggregated form:
$ ftm store iterate -d my_dataset | alephclient write-entities -f my_dataset

If you don't want to keep the balkhash dataset generated above, there's a shortcut that combines the write and iterate functions:

$ cat ftm-entities.ijson | ftm store aggregate | alephclient write-entities -f my_dataset

Python Library

from ftmstore import Dataset

dataset = Dataset("US-OFAC")
dataset.put(entity, fragment='1')

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for followthemoney-store, version 3.0.2
Filename, size File type Python version Upload date Hashes
Filename, size followthemoney_store-3.0.2-py2.py3-none-any.whl (9.3 kB) File type Wheel Python version py2.py3 Upload date Hashes View
Filename, size followthemoney-store-3.0.2.tar.gz (6.6 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page