repowisebzddbz/fraud_detection

Repowise · Codebase intelligence

bzddbz / fraud_detection

pythongithub.com/bzddbz/fraud_detection
Indexed atb90d654··Up to date
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Files indexed
45
Symbols
43
Languages
6
Structure
Single

Languages

  • python40.0%
  • yaml28.9%
  • markdown13.3%
  • json13.3%
  • dockerfile2.2%
  • toml2.2%

Explore bzddbz/fraud_detection

Overview

Files, symbols, languages, packages, git intelligence

Dependency graph

Interactive view of how files import each other

Hotspots

Files with the most churn and co-change risk

Ownership

Bus-factor and per-file maintainer maps

Decisions

Architectural decisions extracted from commits and PRs

Dead code

Unreachable symbols and unused exports

AI docsPro

Module-by-module documentation generated from source

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Ask grounded questions over the indexed code

Entry points1

  • src/api/main.py

How bzddbz/fraud_detection works

This page is an auto-generated, always-fresh map of the bzddbz/fraud_detection repository, written primarily in python. Repowise indexes the source, parses every symbol, computes a dependency graph, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.

The codebase has 45 source files, 43 symbols, and 6 languages. Git churn analysis flags 4 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 30 tightly-coupled module communities.

Use the panels above to open the interactive dashboards, or connect this repo to your editor via the Repowise MCP server for grounded answers inside Claude, Cursor, or VS Code.