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

A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.

Geo Assist is a spatial library to manage spatial data in-memory.

A collection of Jupyter notebooks for GEE Courses

A streamlit app template based on streamlit-option-menu

A Python package for installing optional dependencies for geemap and leafmap.

A streamlit multipage app template for geospatial applications

Interactive web apps created using leafmap and streamlit

Publishing interactive web apps using leafmap and streamlit

A template for building a mkdocs website

Leafmap for Jupyterlite

A template for Solara web apps

A collection of Jupyter notebooks for geospatial applications

A multi-page streamlit web app template for geospatial applications

GitHub workflows for building GDAL, geemap, leafmap, and other geospatial packages

Analyze and visualize the geospatial data in maps using Python

Streamlit app for visualizing and labeling COGs

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