Where Places Become Interactive.
NeighborhoodGraph is an open-source civic intelligence platform designed to make housing, land, infrastructure, and community systems understandable through a unified, interactive knowledge graph. Instead of treating properties, parcels, utilities, ownership records, and neighborhoods as isolated datasets, NeighborhoodGraph connects them into a living system where relationships can be explored, analyzed, and visualized in real time. The goal is to transform fragmented public data into a coherent, navigable model of how places actually function.
At its core, NeighborhoodGraph combines property intelligence, ownership transparency, and neighborhood analytics to reveal patterns in housing markets and community change. Users can explore ownership networks, track institutional investment activity, analyze affordability trends, and visualize neighborhood stability or displacement risk. The platform supports deep investigation into how capital flows through communities, how properties change hands over time, and how those changes affect local housing conditions.
Beyond traditional real estate analytics, NeighborhoodGraph introduces a full digital twin system through its Neighborhood Visualizer AI. This includes photo-to-3D reconstruction, satellite and aerial imagery modeling, and interactive walkthrough environments that allow users to experience neighborhoods virtually. These digital twins are layered with data overlays such as infrastructure systems, affordability indicators, and development activity, turning static maps into immersive, data-rich environments.
The platform also integrates infrastructure intelligence, mapping water, sewer, electrical, broadband, and transportation systems alongside housing data. This allows users to understand how physical systems support or constrain development and community growth. Combined with predictive analytics and AI-powered simulations, NeighborhoodGraph can model future scenarios such as zoning changes, population growth, infrastructure stress, and housing demand shifts.
Community participation is a core design principle. Through citizen reporting tools, residents can submit observations about property conditions, development activity, and infrastructure issues, contributing real-world context to the knowledge graph. The Community Memory Module preserves local history through oral histories, archival media, and historical reconstruction tools, ensuring that neighborhood identity and cultural memory are part of the data ecosystem.
Together, these features position NeighborhoodGraph as more than a mapping or analytics tool. It is a comprehensive, open-source system for understanding how communities evolve, how housing markets operate, and how infrastructure and policy decisions shape everyday life.
- NeighborhoodGraph – An open-source civic intelligence platform that transforms housing, land, infrastructure, and community data into an interactive knowledge graph for exploring how neighborhoods evolve over time.