igraph-r
igraph-r is an Exploratory analysis & notebooks skill for AI agents, published by DAAF-Contribution-Community in the daaf repository on GitHub. Skillspace rates igraph-r D (66/100) and it passed the safety scan; the rating is based on static analysis only.
R network analysis with igraph fronted by tidygraph + ggraph: graph construction from edge-list tibbles (tidyverse round-trip), centrality (degree, betweenness, closeness, eigenvector, PageRank), community detection (Leiden, Louvain, walktrap) with seed discipline, shortest paths, components, bipartite construction + projection, and static grammar-of-graphics figures via ggraph with seeded layouts. Use for relational/graph data. For road-network routing use sf-terra (sfnetworks); for non-graph clustering use tidymodels. Use when execution language is R. Python equivalent: igraph.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 220
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- LGPL-3.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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