Open-source alternatives to Cmla S2p

The Python Shapefile Library (PyShp) reads and writes ESRI Shapefiles in pure Python.

GDAL is an MIT-licensed open source translator library that provides a unified abstract data model for reading and writing geospatial raster and vector data across hundreds of file formats. It serves as a foundational geospatial data translation library, enabling access to diverse geospatial data formats through a single, consistent interface. The library exposes its core functionality through command-line utilities that allow users to translate, convert, and process geospatial data between formats. A coordinate transformation engine handles conversions between spatial reference systems, whil

A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷

This project is a utility library for the Google Maps SDK for Android, providing a suite of specialized tools for rendering geospatial data, calculating spherical geometry, and visualizing map markers and heatmaps. It serves as a helper collection to handle complex geospatial tasks within Android applications. The library features a marker clustering tool to group nearby markers into single icons and a map data visualizer for generating heatmaps based on the intensity and distribution of geographic points. It also includes a polyline encoding tool for compressing coordinate sequences into com

Valhalla is an open-source routing engine that calculates optimal paths and travel times using OpenStreetMap data. It is built around a tiled routing graph framework, allowing map data to be organized into small geographic tiles for efficient regional updates and offline routing capability. The project distinguishes itself through a multimodal routing server that combines automobile, pedestrian, bicycle, and public transit modes into single journeys. It includes a GPS trace matching engine to align noisy coordinates to the most probable road network paths and an isochrone and matrix generator

This project is an open-source 3D game engine designed for building high-fidelity games, simulations, and cinematic environments. It functions as a robotics simulation platform with native integration for ROS 2 to model robot controllers and sensors. The engine features a multi-threaded Forward+ physically based renderer that supports hardware-accelerated ray tracing and global illumination. The system is built on a modular extension architecture using Gems to add or replace features without modifying core binaries. It includes a native SDK for AWS cloud integration, enabling IAM authenticati

:chartwithupwards_trend: Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.

rioxarray README

AWS Lambda Container Image with Python Rasterio for querying Cloud Optimised GeoTiffs.

A wrapper for running GDAL in the browser using gdal-js

golang wrapper for github.com/OSGEO/gdal

NumpyTiles is an open standard for communicating map raster data.

Experimental code for loading/saving XArray DataArrays to Geographic Rasters using rasterio

Deep learning docker files and docker images for geospatial anaysis. It contains the most popular deep learning frameworks(PyTorch and Tensorflow) with CPU and GPU support (CUDA and cuDNN included). And some other commonly used packages in machine learning and geospatial anaysis.

gmaps is a library that provides a wrapper for the Google Maps API, serving as a geospatial data toolkit and interactive map renderer. It simplifies the integration of interactive maps into web applications by managing the embedding of map views and the lifecycle of markers. The project distinguishes itself through a specialized set of utilities for geocoding, which converts physical addresses to geographic coordinates and vice versa. It also includes a static map generator for creating non-interactive map images for lightweight environments. The capability surface covers geographic data vis

mujoco_menagerie is a curated library of physical robot specifications and XML model definitions designed for standardized dynamics and contact simulation. It provides a collection of high-quality robot model files for humanoids, quadrupeds, and manipulators, alongside detailed kinematic and inertial parameters used to reproduce real-world robot behavior in virtual environments. The project serves as a repository of robotics simulation assets and MJCF model definitions optimized for accuracy. It includes standardized model libraries specifically for bipedal, quadrupedal, and humanoid hardware