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On the recordRead 5 Oct 202614 facts
spopt
Plans and prices
spopt
Free
Open-source Python library · BSD 3-Clause license
Read 5 Oct 2026 · github.com
On the record
- Dependencies
- The repository lists SciPy, NumPy, pandas, NetworkX, libpysal, scikit-learn, GeoPandas, PuLP, Shapely, and spaghetti as requirements.github.com · read 5 Oct 2026
- Development
- The project says it is under active development and welcomes contributors.github.com · read 5 Oct 2026
- Examples
- Documented examples include regional income clustering, Airbnb clustering, grid clustering, and locating first-aid stations or store sites.pysal.org · read 5 Oct 2026
- Facility location
- Its facility-location methods include set covering, maximal coverage, p-median, p-center, p-dispersion, and flow refueling location models.pysal.org · read 5 Oct 2026
- Focus areas
- The project develops methods for regionalization, facility location, and transportation-oriented solutions.pysal.org · read 5 Oct 2026
- Install options
- The released package can be installed with pip or conda-forge, and a development version can be installed from GitHub.pysal.org · read 5 Oct 2026
- Intended audience
- The project describes itself as a spatial optimization package and provides examples involving geographic clustering and facility siting.github.com · read 5 Oct 2026
- License
- The repository states that spopt is licensed under the BSD 3-Clause license.github.com · read 5 Oct 2026
- Purpose
- spopt is an open-source Python library for solving optimization problems with spatial data.pysal.org · read 5 Oct 2026
- Python requirement
- The installation guide says spopt supports Python 3.11 or later.pysal.org · read 5 Oct 2026
- Regionalization
- Its regionalization methods aggregate smaller geographic units into larger regions using methods such as AZP, MaxP, Skater, and spatially constrained clustering.pysal.org · read 5 Oct 2026
- Security
- The repository identifies itself as a public project and links to its security and quality page, but the opened pages make no security or compliance claims.github.com · read 5 Oct 2026
- Solver example
- The repository’s facility-location example uses PuLP with the CBC solver.github.com · read 5 Oct 2026
- Support
- Users can ask questions through GitHub issues, GitHub discussions, or PySAL’s Discord channel.pysal.org · read 5 Oct 2026
