ElectriCore - Moteur de calculs métier pour les données énergétiques ⚡ Rôle : transformation et l'analyse des données électriques, quelle que soit leur source, pour en extraire des métriques pertinentes et des informations exploitables. 🔹 Sources de données : 📡 ElectriFlux (fichiers XML Enedis) 🔗 API SOAP Enedis (à venir)
energie-de-nantes/electricore scores 8.6 out of 10 on defect risk, which Repowise rates Excellent. Maintainability scores 9.6 out of 10. Static performance risk scores 10.0 out of 10. The three are scored separately and never blended into a single number. 88 of 542 files are git hotspots, the places where changes and bug fixes concentrate.
Full health reportRanked by prior bug fixes and change frequency, mined from the full git history rather than from the code alone.
| File | Churn | Prior fixes | Maintainers | Commits 90d |
|---|---|---|---|---|
| unit.shdeploy/tests | 99.2th %ile | 24bug magnet | 1bus factor 1 | 53 |
| install.shdeploy | 99.5th %ile | 19bug magnet | 1bus factor 1 | 34 |
Both badges are public, cached, and update on their own after every index. Nothing to install.
Links to this page. Adding it also re-indexes the repo every week.
[](https://repowise.dev/repo/energie-de-nantes/electricore)Average health across every file, straight from the latest index.
[](https://repowise.dev/repo/energie-de-nantes/electricore)ElectriCore - Moteur de calculs métier pour les données énergétiques ⚡ Rôle : transformation et l'analyse des données électriques, quelle que soit leur source, pour en extraire des métriques pertinentes et des informations exploitables. 🔹 Sources de données : 📡 ElectriFlux (fichiers XML Enedis) 🔗 API SOAP Enedis (à venir) This page is an auto-generated, always-fresh map of the energie-de-nantes/electricore 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 542 source files, 3,200 symbols, and 7 languages, organised into 66 modules, led by python, markdown, sql. Static analysis leaves 693 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.
| facturation.pynotebooks | 98.7th %ile | 11bug magnet | 1bus factor 1 | 16 |
| pipeline.pyelectricore/ingestion/relais | 98.2th %ile | 5bug magnet | 1bus factor 1 | 17 |
| main.pyelectricore/api | 99.7th %ile | 3 | 1bus factor 1 | 38 |
| test_relais_pipeline.pytests/ingestion | 99.0th %ile | 3 | 1bus factor 1 | 19 |