igraph
igraph is an Exploratory analysis & notebooks skill for AI agents, published by DAAF-Contribution-Community in the daaf repository on GitHub. Skillspace rates igraph D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Network/graph analysis with python-igraph: graph construction from edge-list DataFrames (Polars round-trip), centrality (degree, betweenness, closeness, eigenvector, PageRank), community detection (Leiden, Louvain, walktrap) with seed discipline, paths/components, bipartite construction and projection, static visualization (matplotlib backend). Use for relational data — collaboration, friendship, organizational, or co-occurrence networks. For geographic road-network routing use geopandas (OSMnx); for non-graph clustering use scikit-learn. R equivalent: igraph-r (use when execution language is R).
- 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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