-
University of Southern California
- Los Angeles, California
-
12:10
(UTC -08:00) - https://geoffboeing.com
- in/gboeing
- @geoffboeing.com
Stars
Morphometric taxonomy of Central Europe
Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.
Python Crash Course materials for IDSP @ ITU, fall 2025
A Python library for fast, interactive geospatial vector data visualization in Jupyter.
An extremely fast Python type checker and language server, written in Rust.
A markup-based typesetting system that is powerful and easy to learn.
Build vector tilesets from large collections of GeoJSON features.
MapLibre GL JS - Interactive vector tile maps in the browser
Talk to God on up to 64 cores. Final snapshot of the Third Temple.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
A tool for AI-assisted meta-review of scientific papers
JupyterGIS - Collaborative GIS editor in Jupyter
Livelike: Vivid Synthetic Populations
GeoAI: Artificial Intelligence for Geospatial Data
Python bindings for H3, a hierarchical hexagonal geospatial indexing system
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
QuackOSM: an open-source Python and CLI tool for reading OpenStreetMap PBF files using DuckDB
Movement trajectory classes and functions built on top of GeoPandas
Read OpenStreetMap data from Protobuf files into GeoDataFrame with Python, faster.
A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
Convenience wrapper for networkx analysis using geospatial information, focusing on OSM
Transportation Networks for Research
An Open Platform for Activity-Based Travel Modeling
aequilibrae - Python package for transportation modeling
Course materials for: Geospatial Data Science
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…