{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"}],"enrichment":{"capability":"Geemap provides interactive geospatial analysis and visualization of Google Earth Engine datasets within Jupyter notebooks, with tools for mapping, data inspection, and export.","skillfed_tags":["earth-engine","jupyter-native","geospatial"],"use_cases":["Explore and visualize satellite imagery and geospatial datasets interactively in Jupyter notebooks.","Convert existing GEE JavaScript code to Python scripts and notebooks automatically.","Perform zonal statistics, image classification, and accuracy assessment on Earth Engine data.","Create animated timelapse visualizations of landscape changes over time.","Export Earth Engine results as GeoTIFF, shapefile, or CSV for downstream analysis."],"what_it_does":"Geemap bridges the gap between Google Earth Engine's Python API and interactive Jupyter-based workflows. It wraps Earth Engine's computational backend with ipyleaflet and ipywidgets to enable live map visualization, data inspection, and export\u2014tasks that are cumbersome in the raw Earth Engine Python API. The package is built for students, researchers, and GEE JavaScript users transitioning to Python, and includes tools to convert existing GEE JavaScripts to Python automatically.\n\nThe package handles satellite imagery, geospatial datasets, and raster and vector operations through Earth Engine's catalog. It supports interactive drawing, split-panel maps, timeseries inspection, image classification, zonal statistics, and export to formats like GeoTIFF, shapefile, and GeoJSON. All visualization and interaction happen within Jupyter cells, making it suitable for exploratory analysis and reproducible research workflows.","worth_installing":"Yes, if you work with Google Earth Engine and want interactive Jupyter-based analysis. The package is actively maintained, has no known vulnerabilities, and low install friction. Requires a GEE account and Python 3.12 or later, and the 19 dependencies add bulk but are all standard geospatial tools. Ideal for research, education, and exploratory geospatial work; less suitable if you need a standalone command-line tool or non-Jupyter environment."},"id":"geemap","links":{"html":"https://skillfed.io/packages/geemap","md":"https://skillfed.io/packages/geemap.md","pypi":"https://pypi.org/project/geemap/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-26","license_spdx":null,"license_treatment":"permissive","name":"geemap","python_support":"supports_current","summary":"A Python package for interactive mapping using Google Earth Engine and ipyleaflet"},"popularity":{"monthly_downloads":166131,"position":10508,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.38.3"}