⚡ Execute Windows applications seamlessly with Solara, a revolutionary engine designed for performance and simplicity.

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments

Training materials for the Cusy Python training courses: https://cusy.io/en/seminars

Schulungsmaterialen für die Cusy Python-Schulungen: https://cusy.io/de/seminare

🌐 dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium

Application to view telemetry data from opentx logs

Interactive visualization and data extraction tool for ICESat-2 ATL14/15 Gridded Land Ice Height Products

A curated list of Google Earth Engine resources

Leafmap for Jupyterlite

autorun ipyleaflet dynamic map

Python scripts for deploying Earth Engine Apps to heroku

Earth Engine and Geemap: Geospatial Data Science with Python

GPX Viewer web app built with Jupyter, ipywidgets, ipyleaflet, bqplot and voila

A collection of Earth Engine Apps created using geemap and voila

To analyze the COVID-19 situation in Japan and identify trends and insights using publicly available data, focusing on nonlinear regression and geographical analysis.

Learning how to create interactive apps with plots using Panel (https://panel.holoviz.org/index.html) and ipyleaflet (https://ipyleaflet.readthedocs.io/en/latest/). 📊🌎📈

Exploratory Data Analysis

Geospatial data-science analysis on reasons behind delay in Grab ride-share services