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 Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments

A collection of Jupyter notebooks for GEE Courses

A streamlit app template based on streamlit-option-menu

A streamlit multipage app template for geospatial applications

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

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 collection of Jupyter notebooks for geospatial applications

A template for Solara web apps

A multi-page streamlit web app template for geospatial applications

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

Streamlit app for visualizing and labeling COGs

Visualizing the Maxar Open Data for the 2023 North India Floods (pre and post event images) on the split map using leafmap.

Analyze and visualize the geospatial data in maps using Python

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