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Repowise · Codebase intelligence

frappe / erpnext

Free and Open Source Enterprise Resource Planning (ERP)

Python36,076Curatedgithub.com/frappe/erpnext
Indexed at59fe10b·5d ago·Up to date
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Files indexed
4.5k
Symbols
15k
Languages
10
Structure
Single

Does the health score find the bugs?

Repowise ranks every file by predicted defect risk. Of the 20 files it flags as riskiest, 19 (95%) actually needed a bug fix in the last 6 months — 7.5× better than picking files at random.

Precision
95%
Lift
7.5×
Flagged
20

Languages

  • python51.5%
  • json25.0%
  • javascript14.0%
  • markdown4.4%
  • typescript3.0%
  • external1.1%
  • yaml

Code health

Full report
76/100
Some risk146 hotspots
  • Code health78
  • Dead code69
  • Hotspot density94
  • Bus factor49

How frappe/erpnext works

Free and Open Source Enterprise Resource Planning (ERP) This page is an auto-generated, always-fresh map of the frappe/erpnext repository, written primarily in Python. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, 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 4,545 source files, 15,365 symbols, and 10 languages. Git churn analysis flags 146 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 2710 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.

0.7%
  • shell0.1%
  • Explore frappe/erpnext

    Overview

    Files, symbols, languages, packages, git intelligence

    Architecture

    Dependency graph, layered architecture, symbol index, and third-party dependencies

    Code health

    Per-file health scores, hotspots, test coverage, dead code, and refactoring targets

    AI docsPro

    Module-by-module documentation generated from source

    Commits

    Change-risk ranked history with AI-agent provenance and hotspots

    Contributors

    Bus-factor, per-file maintainer maps, and human/agent collaboration

    Decisions

    Architectural decisions extracted from commits and PRs

    Chat with this repoSign inPro

    Ask grounded questions over the indexed code