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repowise2233admin/OpenTerminalUI

2233admin / OpenTerminalUI

pythongithub.com/2233admin/OpenTerminalUI
Indexed at7d590f0·2mo ago·Behind upstream
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Code health

7.5out of 10Good

2233admin/OpenTerminalUI scores 7.5 out of 10 on defect risk, which Repowise rates Good. Maintainability scores 8.3 out of 10. Static performance risk scores 9.9 out of 10. The three are scored separately and never blended into a single number. 25 of 1,295 files are git hotspots, the places where changes and bug fixes concentrate.

Full health report
Defect risk7.5/10 · Good
Maintainability8.3/10 · Excellent
Performance risk9.9/10 · Excellent
Files
1.3k
Symbols
8.2k
Modules
93
Doc pages
0
Dead exports
180

Where the risk concentrates

All 25 hotspots

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

FileChurnPrior fixesMaintainersCommits 90d
client.tsfrontend/src/api99.9th %ile325
Backtesting.tsxfrontend/src/pages99.8th %ile325
RiskDashboard.tsxfrontend/src/pages98.3

Read more about 2233admin/OpenTerminalUI

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

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How 2233admin/OpenTerminalUI works

This page is an auto-generated, always-fresh map of the 2233admin/OpenTerminalUI 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 1,295 source files, 8,204 symbols, and 9 languages, organised into 93 modules, led by python, typescript, markdown. Static analysis leaves 3,235 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.

th %ile
3
2
3
market_tools.pybackend/agent/tools99.3th %ile22bus factor 17
strategy_runner.pybackend/core97.6th %ile223
main.pybackend98.9th %ile126
  • 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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