CreditScan — Credit risk scoring engine — weighted composite scoring 300-850, risk classification (educational)

Credit risk scoring engine — weighted composite scoring 300-850, risk classification (educational).

Why CreditScan

CreditScan exists to make this workflow practical. Credit risk scoring engine — weighted composite scoring 300-850, risk classification (educational). It favours a small, inspectable surface over sprawling configuration.

Features

• Applicant — exported from src/creditscan/core.py
• CreditAssessment — exported from src/creditscan/core.py
• CreditScan — exported from src/creditscan/core.py
• Included test suite
• Dedicated documentation folder

Tech Stack

• Runtime: Python
• Tooling: Pydantic

How It Works

The codebase is organised into docs/, src/, tests/. The primary entry points are src/creditscan/core.py, src/creditscan/__init__.py. src/creditscan/core.py exposes Applicant, CreditAssessment, CreditScan — the core types that drive the behaviour.

Getting Started

pip install -e .

Usage

from creditscan.core import Applicant

instance = Applicant()
# See the source for the full API

Project Structure

CreditScan/
├── .env.example
├── CONTRIBUTING.md
├── Makefile
├── README.md
├── docs/
├── pyproject.toml
├── src/
├── tests/