WebGL2 powered visualization framework
- webgl
- data-visualization
- javascript
- visualization
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WebGL2 powered visualization framework
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
Self-hostable travel tracker and trip planner.
A cluster computing framework for processing large-scale geospatial data
An open source library and framework for deep learning on satellite and aerial imagery.
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
Repository contains pgRouting library. Development branch is "develop", stable branch is "master"
Earth observation processing framework for machine learning in Python
Self-hosted outdoor activity tracker :bicyclist: [mirror of codeberg repository: https://codeberg.org/FitTrackee/FitTrackee]
Types and utilities for working with 2d geometry in Golang
Map handling framework for automated driving
framework for large-scale SAR satellite data processing
Fast and flexible C++ library for working with OpenStreetMap data.
General purpose library for reading, writing and working with OpenStreetMap data
Developed to power Conveyal's web-based interface for scenario planning and land-use/transport accessibility analysis, R5 is our routing engine for multimodal (transit/bike/walk/car) networks with a particular focus on public transit
The Spatial Framework for Hadoop allows developers and data scientists to use the Hadoop data processing system for spatial data analysis.
The repository host gives no description.
Desktop based tool for viewing, editing and saving road network maps for autonomous vehicle platforms such as Autoware.
Automated mapping of pedestrian networks from aerial imagery tiles
peartree: A library for converting transit data into a directed graph for sketch network analysis.
Tools for working with GTFS public transit data in ArcGIS
R package for working with GTFS data
Public transport network analysis using Python 🚊🚇🚃🚌🛳️🚡🚠🚞