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repowisechem-william/tui-molviz
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chem-william / tui-molviz

yamlmain2e2b08c2.1K linessynced 12h ago

Code health

6.2out of 10Fair

This codebase scores 6.2 out of 10 on defect risk, which we rate fair. It also scores maintainability 7.0 and static performance risk 10.0 out of 10. The three are scored separately and never blended into one number. The files you change most are the weak spot: 1 of 13 files are git hotspots, and they average 2.5.

Full health report →
Documentation14pages0 with model-written prose, 14 built from the index
Lines of code
2.1K
Files
13
Symbols
244
Modules
3
Languages
4

Recent activity

All commits →

Commits

No commits indexed yet.

Decisions

No decisions extracted yet.

Needs attention

6 open
  • medium severity. Ungovernedsrc/lib.rsHigh-churn file with no governing decision
  • medium severity. Knowledge siloexamples/quickstart.rs100% single-owner concentration
  • medium severity. Knowledge siloexamples/showcase.rs100% single-owner concentration
  • medium severity. Knowledge silosrc/camera.rs100% single-owner concentration
  • medium severity. Knowledge silosrc/lib.rs100% single-owner concentration

Where the risk concentrates

All 1 hotspots →

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

FileChurnPrior fixesMaintainersCommits 90d
lib.rssrc80.0th01bus factor 158

Composition

Open the graph →
yaml 38%rust 38%markdown 15%toml 8%

Explore this codebase

  • Docs14 pages across 3 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files13 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 1 entry points→
  • Code healthPer-file scores, 20 open findings, coverage and refactoring targets→
  • Knowledge graphEntities, communities, and the paths between them→
  • Change couplingFiles that keep changing together, mined from commit history→
  • CommitsChange-risk ranked history with agent provenance→
  • ContributorsBus factor, per-file maintainers, and the human/agent split→
  • StatsSize class, origin, lifetime churn, rhythm and records→
  • CostsWhat indexing this snapshot cost, by model and by run→