FaserF / ha-bahnvorhersage
yamlmaine67bf221.2K linessynced 16h ago
Code health
8.6out of 10Excellent
This codebase scores 8.6 out of 10 on defect risk, which we rate excellent. It also scores maintainability 8.8 and static performance risk 9.9 out of 10. The three are scored separately and never blended into one number.
- Lines of code
- 1.2K
Recent activity
All commitsCommits
No commits indexed yet.
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No decisions extracted yet.
Needs attention
6 open- medium severity. Knowledge silocustom_components/__init__.py100% single-owner concentration
- medium severity. Knowledge silocustom_components/bahnvorhersage/__init__.py100% single-owner concentration
- medium severity. Knowledge silocustom_components/bahnvorhersage/config_flow.py100% single-owner concentration
- medium severity. Knowledge silocustom_components/bahnvorhersage/const.py100% single-owner concentration
- medium severity. Knowledge silocustom_components/bahnvorhersage/sensor.py100% single-owner concentration
Composition
Open the graphyaml 33%json 29%python 24%markdown 14%
Explore this codebase
- Docs11 pages across 2 modules
- ChatAsk this codebase a question and get an answer with its sources
- Files21 files with per-file docs, health and history
- ArchitectureDependency graph, layers, and 0 entry points
- Code healthPer-file scores, 14 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