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FaserF / ha-norma

pythonmaindbc55943.6K linessynced 8h ago

Code health

8.2out of 10Excellent

This codebase scores 8.2 out of 10 on defect risk, which we rate excellent. It also scores maintainability 8.6 and static performance risk 9.9 out of 10. The three are scored separately and never blended into one number. The files you change most are the weak spot: 4 of 42 files are git hotspots, and they average 6.2.

Full health report →
Documentation30pages0 with model-written prose, 30 built from the indexDead code4exportsUnused exports that nothing in the graph reaches
Lines of code
3.6K
Files
42
Symbols
128
Modules
3
Languages
4

Recent activity

All commits →

Commits

No commits indexed yet.

Decisions

No decisions extracted yet.

Needs attention

17 open
  • medium severity. Ungoverned.github/scripts/calculate_release_details.pyHigh-churn file with no governing decision
  • medium severity. Ungoverned.github/scripts/update_templates.pyHigh-churn file with no governing decision
  • medium severity. Ungovernedcustom_components/norma/api.pyHigh-churn file with no governing decision
  • medium severity. Ungovernedcustom_components/norma/coordinator.pyHigh-churn file with no governing decision
  • medium severity. Knowledge silo.github/scripts/bump_version.py100% single-owner concentration

Where the risk concentrates

All 4 hotspots →

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

FileChurnPrior fixesMaintainersCommits 90d
update_templates.py.github/scripts95.5th023
calculate_release_details.py.github/scripts90.9th12bus factor 15
coordinator.pycustom_components/norma81.8th024
api.pycustom_components/norma77.3th023

Composition

Open the graph →
python 52%yaml 24%json 17%markdown 7%

Explore this codebase

  • Docs30 pages across 3 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files42 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 0 entry points→
  • Code healthPer-file scores, 80 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→