olaflaitinen/citysense

CitySense is an open-source Python library that bridges geospatial urban data with large language model (LLM) toolchains.

41
/ 100
Emerging

CitySense helps urban planners and researchers analyze cities using everyday language. You feed it geospatial data about urban areas, and it helps you get insights and answers from that data, making complex city analytics more accessible. It's designed for professionals working on Sustainable Development Goal 11 (SDG 11) workflows and research-grade city analysis.

Available on PyPI.

Use this if you need to understand complex urban data, such as city infrastructure or population movements, by asking natural language questions and getting relevant insights to support urban planning decisions.

Not ideal if you are looking for a simple mapping tool or a generic data visualization platform without the need for advanced AI-driven analysis of urban spatial data.

urban-planning city-analytics sustainable-development geospatial-intelligence urban-research
Maintenance 10 / 25
Adoption 5 / 25
Maturity 20 / 25
Community 6 / 25

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Stars

12

Forks

1

Language

Python

License

EUPL-1.2

Last pushed

Mar 07, 2026

Commits (30d)

0

Dependencies

23

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