XGI review
A focused open-source toolkit for researchers working with hypergraphs and simplicial complexes.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
XGI is an open-source Python library for higher-order network science, aimed at researchers and developers studying complex systems and higher-order interactions. It provides data structures for undirected and directed hypergraphs and simplicial complexes, making it a specialist option for people who need to represent relationships that go beyond ordinary pairwise networks. It runs on Windows, macOS, and Linux, and suits solo researchers or small teams comfortable working in Python rather than a hosted visual analytics interface.
Its scope extends beyond drawing: XGI can load and store higher-order networks in standard formats, generate random and non-random networks, run metrics and algorithms, and compute node and edge statistics. Visualization uses Matplotlib, while the library fits into the scientific Python ecosystem alongside NumPy, SciPy, and pandas. The XGI-DATA repository provides datasets to load. That breadth is useful when a research workflow needs data handling, analysis, and figures around the same specialized network structures; it is not a general dashboard builder, and its dashboard type is static.
XGI is open source and self-hosted, so it is a better fit for users who want a library they can incorporate into their own Python work than for teams seeking a managed service or a ready-made viewer. Documentation and community are its listed support channels. Choose it for higher-order network representation, analysis, and visualization; consider a general-purpose visualization product if the main need is interactive business dashboards or a hosted interface.
XGI pros and cons
- Where it wins
- Models undirected and directed hypergraphs and simplicial complexes
- Combines network generation, analysis, statistics, and visualization
- Works with NumPy, SciPy, pandas, and Matplotlib
- Where it doesn't
- Requires Python rather than offering a hosted dashboard
- Visualization is focused on higher-order networks, not general-purpose dashboards
- Support is through documentation and community channels
XGI fact sheet, pricing and score →
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