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madsdoodle / knowledge-graph-using-rdf-llm

typescriptmaindc6892e9.4K linessynced 3d ago

Code health

8.7out of 10Excellent

This codebase scores 8.7 out of 10 on defect risk, which we rate excellent. It also scores maintainability 8.4 and static performance risk 9.8 out of 10. The three are scored separately and never blended into one number.

Full health report →
Documentation118pages0 with model-written prose, 118 built from the indexDead code77exportsUnused exports that nothing in the graph reaches
Lines of code
9.4K
Files
101
Symbols
408
Modules
22
Languages
6

Recent activity

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Commits

No commits indexed yet.

Decisions

  • Run FastAPI and Streamlit together via a startup scriptproposed · 3d ago
  • Use Streamlit for the web UIproposed · 3d ago
  • Use RDF/SPARQL as graph representation and queryingproposed · 3d ago
  • Support batch processing with unified deduplicated graphsproposed · 3d ago
  • Use NetworkX and Matplotlib for visualization outputproposed · 3d ago
  • Use FastAPI as backend for REST APIproposed · 3d ago

Needs attention

28 open
  • medium severity. ProposedRun FastAPI and Streamlit together via a startup scriptAuto-proposed decision awaiting review
  • medium severity. ProposedUse Streamlit for the web UIAuto-proposed decision awaiting review
  • medium severity. ProposedUse RDF/SPARQL as graph representation and queryingAuto-proposed decision awaiting review
  • medium severity. ProposedSupport batch processing with unified deduplicated graphsAuto-proposed decision awaiting review
  • medium severity. ProposedUse NetworkX and Matplotlib for visualization outputAuto-proposed decision awaiting review

Composition

Open the graph →
typescript 74%python 16%json 5%markdown 2%javascript 2%Other 1%

Explore this codebase

  • Docs118 pages across 22 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files101 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 6 entry points→
  • Code healthPer-file scores, 126 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→