Important

On June 26 2024, Linux Foundation announced the merger of its financial services umbrella, the Fintech Open Source Foundation (FINOS), with OS-Climate, an open source community dedicated to building data technologies, modeling, and analytic tools that will drive global capital flows into climate change mitigation and resilience; OS-Climate projects are in the process of transitioning to the FINOS governance framework; read more on finos.org/press/finos-join-forces-os-open-source-climate-sustainability-esg

financial-entity-cleaner

The financial-entity-cleaner is a library that is part of the Entity-Matching project developed by OS-Climate Foundation. The main purpose of the financial-cleaner is to provide methods for validation and standardization of data used in the banking industry as to solve the problem of determining if two entities in a data set refer to the same real-world object (entity matching).

Currently, the library provides three main components:

• a validator for banking identifiers (Sedol,Isin and Lei),
• a validator for country information, and
• a cleaner for company's name.

Install from PyPi

pip install financial-entity-cleaner

How to use the library

The following jupyter notebooks teaches how to use the library:

• How to clean a company's name
• How to normalize country information
• How to validate banking ids, such as: LEI, ISIN and SEDOL