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geemap is a Python library and geospatial toolkit designed for interactive mapping, remote sensing visualization, and satellite imagery analysis. It serves as a Python interface for Google Earth Engine, enabling users to manage cloud-based geospatial workflows and visualize datasets within notebook environments. The project distinguishes itself through automated code conversion, allowing scripts and notebooks to be translated between programming languages. It also provides specialized remote sensing visualization capabilities, such as generating time-lapse GIFs from imagery sequences with sup
geemap is a Python library and toolkit for interactive geospatial analysis, visualization, and satellite imagery analysis using Google Earth Engine data and cloud computing. It provides a mapping tool for displaying geospatial datasets within Jupyter notebooks and a suite of tools for classifying imagery and calculating zonal statistics. The project includes a utility to convert geospatial analysis scripts from JavaScript into Python code to facilitate data manipulation. It also enables the generation of timelapse animations and time-series visualizations from satellite imagery catalogs. The
This project is a Node.js library and browser automation framework that provides a JavaScript interface for the Chrome DevTools Protocol. It functions as a headless browser controller, enabling the programmatic management of browser targets, the execution of scripts, and the monitoring of network activity via WebSocket connections. The interface includes an interactive shell and REPL for real-time command execution and event binding. It also provides utilities for retrieving protocol descriptors and inspecting embedded documentation to identify available commands and parameter types. The lib
ArrayFire is a hardware-agnostic compute framework and JIT-compiled tensor engine designed for high-performance numerical computing. It serves as a GPU numerical computing library and parallel signal processing toolkit that abstracts hardware backends, allowing the same codebase to execute across various GPU architectures and CPUs. The project distinguishes itself through a JIT engine that uses expression compilation to fuse operations and minimize memory overhead. It employs a deferred execution graph to optimize computation chains and provides interoperability primitives to share data and e
The Google Earth Engine Client Library is a programmatic interface for accessing, manipulating, and exporting planetary-scale raster and vector data via cloud-based services. It serves as a satellite imagery processing API that allows for the filtering, composing, and manipulation of multi-spectral image collections from a remote geospatial catalog.
The main features of google/earthengine-api are: Precision Geospatial Analysis, Remote Sensing and Imagery, Remote Data Retrieval, Remote Sensing Dataset Loaders, System Command Dispatchers, Lazy Image Collections, Cloud-Based Geospatial Analysis Tools, Earth Engine Client Libraries.
Open-source alternatives to google/earthengine-api include: gee-community/geemap — geemap is a Python library and geospatial toolkit designed for interactive mapping, remote sensing visualization, and… giswqs/geemap — geemap is a Python library and toolkit for interactive geospatial analysis, visualization, and satellite imagery… commanded/commanded — Commanded is an Elixir framework designed for building event-sourced applications that utilize domain-driven design.… arrayfire/arrayfire — ArrayFire is a hardware-agnostic compute framework and JIT-compiled tensor engine designed for high-performance… cyrus-and/chrome-remote-interface — This project is a Node.js library and browser automation framework that provides a JavaScript interface for the Chrome… lovell/sharp — Sharp is a high-performance image processing library for Node.js. It serves as a native extension and wrapper for the…