graspologic-org/graspologic

Health v2 · maintenance only

Adoption not part of the score

1008 stars · 173 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

graspologic is a Python package providing algorithms and utilities for graph (network) statistics, including embedding, clustering, matching, and inference on graphs. It originated from the merger of Johns Hopkins NeuroData's GraSPy and Microsoft Research's topologic libraries.

Use cases

• analyze statistics of a social network graph
• embed graphs into low-dimensional vector representations
• cluster nodes in a network
• match or align two graphs
• run statistical inference on network data
• detect communities in a graph
• simulate random graph models

When to choose

• you need specialized graph statistical algorithms beyond basic networkx operations
• you want graph embeddings, spectral methods, or graph matching in Python
• you are doing research or data science on network-structured data

When to avoid

• you only need basic graph manipulation like shortest paths or traversal (use networkx)
• you need distributed or out-of-core graph processing at massive scale
• you need a non-Python or GPU-accelerated graph analytics stack

Facets

library · maturity active

machine-learning data-science math analytics data-science machine-learning mathematics python windows cross-platform graph-statistics network-analysis networkx graph-embeddings graph-matching community-detection algorithms linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="graspologic-org/graspologic")