spaghetti
spaghetti: Focused, open-source Python tooling for advanced network and accessibility analysis. Ranked #50 of 64 in GIS Software by our editors (4.2/10); pricing: Free plan; best for spatial network and accessibility researchers.
At a glance
- Editor score4.2 / 10
- PricingFree plan
- Best forSpatial network and accessibility researchers
- Free planYes
- Paid fromFree
- Spatial analysisAdvanced
- Facts checked23 Sep 2026
Where it wins
- Builds networks, snaps observations, and computes shortest paths
- Supports topology, components, centrality, and accessibility analysis
- Includes network point-pattern simulation tools
Where it doesn't
- No web mapping capabilities
- No integrations are provided
- Desktop-only deployment limits browser-based workflows
Our verdict on spaghetti
spaghetti is an open-source Python package in the PySAL ecosystem for analyzing network-based spatial data. It is designed for researchers, GIS analysts, and Python developers working with transportation, street, and other linear networks. The package constructs spatial networks from line-based geographic data, associates point observations with network arcs, calculates network distances and shortest paths, identifies connected components, and supports network topology, point-pattern, centrality, and accessibility analysis.
The published model is open source with a free plan, making spaghetti suitable for individuals, research groups, and organizations that want desktop network-analysis tools without a paid tier structure. It runs on Windows, macOS, and Linux. Its feature set covers both core network construction and more specialized analysis, including simulation tools for network point patterns. Documentation and community channels are the listed support options, while the PySAL ecosystem provides the package context for Python-based spatial analysis workflows.
spaghetti is intentionally focused rather than a broad GIS workspace. The package is a desktop deployment without web mapping or integrations, so teams needing browser-based maps, connected services, or a wider application platform should consider a different GIS product. It fits users who are comfortable incorporating Python tools into analytical work and who need network distances, topology, accessibility measures, or network point-pattern methods. Organizations seeking those capabilities in a focused analytical library can choose spaghetti; users prioritizing visual web authoring or integrated mapping workflows should look elsewhere.
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spaghetti pricing
spaghetti fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Deployment | Desktop |
| Spatial analysis | Advanced |
| Web mapping | Not verified |
| Dashboard builder | Not verified |
| Raster data support | Not verified |
| Mobile apps | Not verified |
| Deployment | Desktop |
| Platforms | Windows, macOS, Linux |
| Support | Docs, Community |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan |
| Website | pysal.org |
| Facts checked | 23 Sep 2026 |
Alternatives to spaghetti
- QGISA broad, no-cost GIS for advanced analysis, editing, mapping, and publishing.9.4
- GRASS GISA deep analytical GIS for technical teams that value open-source and scripted workflows.9.2
- Google Earth EngineA specialized GIS platform for large-scale satellite imagery, raster analysis, and geospatial computation.9.1
See all spaghetti alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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