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repowisepallets/quart

pallets / quart

An async Python micro framework for building web applications.

Python3,654github.com/pallets/quart
Indexed at657bca7·4h ago·Up to date with upstream
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Code health

7.0out of 10Good

pallets/quart scores 7.0 out of 10 on defect risk, which Repowise rates Good. Maintainability scores 7.5 out of 10. Static performance risk scores 10.0 out of 10. The three are scored separately and never blended into a single number. 1 of 93 files are git hotspots, the places where changes and bug fixes concentrate.

Full health report
Defect risk7.0/10 · Good
Maintainability7.5/10 · Good
Performance risk10.0/10 · Excellent
Files
93
Symbols
858
Modules
26
Doc pages
185
Dead exports
4

Where the risk concentrates

All 1 hotspots

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

FileChurnPrior fixesMaintainersCommits 90d
app.pysrc/quart97.2th %ile011bus factor 16

Read more about pallets/quart

  • 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 docsProModule-by-module documentation generated from source

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How pallets/quart works

An async Python micro framework for building web applications. This page is an auto-generated, always-fresh map of the pallets/quart 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 93 source files, 858 symbols, and 6 languages, organised into 26 modules, led by python, markdown, yaml. Static analysis leaves 188 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.

  • 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
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