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repowisereconurge/flowsint

reconurge / flowsint

A modern platform for visual, flexible, and extensible graph-based investigations. For cybersecurity analysts and investigators.

TypeScript7,523github.com/reconurge/flowsint
Indexed at95e0ab9·1h ago·Up to date with upstream
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Code health

8.7out of 10Excellent

reconurge/flowsint scores 8.7 out of 10 on defect risk, which Repowise rates Excellent. Maintainability scores 8.9 out of 10. Static performance risk scores 9.9 out of 10. The three are scored separately and never blended into a single number. 3 of 778 files are git hotspots, the places where changes and bug fixes concentrate.

Full health report
Defect risk8.7/10 · Excellent
Maintainability8.9/10 · Excellent
Performance risk9.9/10 · Excellent
Files
778
Symbols
3.9k
Modules
57
Doc pages
952
Dead exports
262

Where the risk concentrates

All 3 hotspots

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

FileChurnPrior fixesMaintainersCommits 90d
to_fraudscore.pyflowsint-enrichers/src/flowsint_enrichers/ip91.2th %ile343
models.pyflowsint-core/src/flowsint_core/core97.5th %ile044
custom_type_service.pyflowsint-core/src/flowsint_core/core/services

Read more about reconurge/flowsint

  • 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.

Code health badge showing the average health score out of 10
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How reconurge/flowsint works

A modern platform for visual, flexible, and extensible graph-based investigations. For cybersecurity analysts and investigators. This page is an auto-generated, always-fresh map of the reconurge/flowsint repository, written primarily in TypeScript. 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 778 source files, 3,917 symbols, and 10 languages, organised into 57 modules, led by typescript, python, markdown. Static analysis leaves 1,278 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.

96.6th %ile
0
3
3
  • 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