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repowiserakaarwaky/qwen-web

rakaarwaky / qwen-web

Python1github.com/rakaarwaky/qwen-web
Indexed at8c5001b·3h ago·Up to date with upstream
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Code health

7.1out of 10Good

rakaarwaky/qwen-web scores 7.1 out of 10 on defect risk, which Repowise rates Good. Maintainability scores 9.3 out of 10. Static performance risk scores 9.9 out of 10. The three are scored separately and never blended into a single number. 29 of 174 files are git hotspots, the places where changes and bug fixes concentrate.

Full health report
Defect risk7.1/10 · Good
Maintainability9.3/10 · Excellent
Performance risk9.9/10 · Excellent
Files
174
Symbols
1.3k
Modules
9
Doc pages
178
Dead exports
0

Where the risk concentrates

All 29 hotspots

Ranked by prior bug fixes and change frequency, mined from the full git history rather than from the code alone.

FileChurnPrior fixesMaintainersCommits 90d
root_cli_main_entry.pymodules95.7th %ile9bug magnet1bus factor 127
capabilities_browser_adapter.pymodules/core/src97.4th %ile7bug magnet1bus factor 1

Read more about rakaarwaky/qwen-web

  • OverviewFiles, symbols, languages, packages, git intelligence
  • ArchitectureDependency graph, layered architecture, symbol index, and third-party dependencies
  • Code healthPer-file health scores, hotspots, test coverage, dead code, and refactoring targets
  • AI explanationsProModule-by-module documentation generated from source

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Code health badge

Average health across every file, straight from the latest index.

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How rakaarwaky/qwen-web works

This page is an auto-generated, always-fresh map of the rakaarwaky/qwen-web 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 174 source files, 1,304 symbols, and 6 languages, organised into 9 modules, led by python, markdown, yaml. Static analysis leaves 592 open findings across the three health dimensions.

Use the links 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.

26
agent_core_orchestrator.pymodules/core/src99.1th %ile5bug magnet1bus factor 125
capabilities_observability_setup.pymodules/core/src94.8th %ile5bug magnet1bus factor 124
test_final_coverage.pytests93.1th %ile31bus factor 110
test_qwen_client_behavior.pytests94.0th %ile21bus factor 119
  • CommitsChange-risk ranked history with AI-agent provenance and hotspots
  • ContributorsBus-factor, per-file maintainer maps, and human/agent collaboration
  • DecisionsArchitectural decisions extracted from commits and PRs
  • Chat with this repoSign inProAsk grounded questions over the indexed code