Open-source alternatives to Pymap3d

🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency

GeoPandas is a Python library that extends pandas with native support for geospatial data. It treats geographic geometries—points, lines, and polygons—as a first-class column type within DataFrames, enabling users to store, manipulate, and analyze vector spatial data alongside traditional tabular attributes. The library is built on top of proven geospatial components: it uses Shapely for all geometric operations, Fiona and GDAL for reading and writing standard spatial file formats, PyProj for coordinate reprojection, and an R‑tree spatial index (from Shapely) to accelerate spatial queries. Wh

(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping

Python bindings and utilities for GeoJSON

A Jupyter - Leaflet.js bridge

The fuse stack provides a general architecture for performing sensor fusion live on a robot. Some possible applications include state estimation, localization, mapping, and calibration.

Use Mapbox GL JS to visualize data in a Python Jupyter notebook

Precise localization based on GNSS and IMU.

AI-IMU Dead-Reckoning

evo is a Python framework for the evaluation of SLAM algorithms, robot odometry, and trajectory data. It serves as an analysis library for measuring drift and precision by calculating absolute and relative pose errors between estimated paths and ground truth references. The project provides a geometric alignment framework to correct rotation, translation, and scale between spatial trajectories, ensuring consistent error measurement. It includes specialized tools for odometry drift analysis and the processing of robotics data, including the ability to extract trajectory information from ROS ba

PySAL: Python Spatial Analysis Library Meta-Package

Folium is a Python library that builds interactive Leaflet.js maps directly from Python data structures, enabling geographic data visualization in Jupyter notebooks or as standalone HTML pages. It creates maps centered on given coordinates with configurable zoom, tiles, and dimensions, and supports embedding those maps inside web routes for serving in browsers. The library provides a comprehensive set of tools for data-driven map creation, including choropleth maps that bind tabular data to geographic geometries, colormap application to markers and polygons, and GeoJSON data overlay and visua

Rasterio reads and writes geospatial raster datasets

This project is an educational resource and toolkit for implementing Bayesian estimation and Kalman filters in Python. It provides a framework for constructing linear and non-linear filters to estimate the state of dynamic systems by combining noisy sensor data with mathematical process models. The library focuses on probabilistic state estimation, utilizing recursive Bayesian updating and state-space mathematical modeling to refine beliefs about system states. It includes utilities for simulating dynamic systems, allowing users to generate synthetic trajectories and sensor observations to va

A version of RTKLIB optimized for low cost GNSS receivers, especially u-blox receivers. It is based on RTKLIB 2.4.3. This software is provided “AS IS” without any warranties of any kind so please be careful, especially if using it in any kind of real-time application. Click on the "Releases" label below to see the latest Windows pre-release.

Github Mirror of Charles F. F. Karney GeographicLib from SF

Shapely is a library for the manipulation and analysis of planar geometric objects, serving as a Python wrapper for the GEOS C++ engine. It provides a framework for calculating geometric properties, evaluating spatial relationships, and performing topological predicates within a Cartesian plane. The project distinguishes itself through a vectorized geometry processor capable of executing spatial operations across large arrays of shapes to increase throughput. It also includes a spatial indexing system based on R-trees to accelerate the retrieval of intersecting geometries and nearest neighbor

Fiona reads and writes geographic data files

A robust sensor fusion library for online localization.

Python version of the SGP4 satellite position library

This project is a declarative visualization library and geospatial framework designed for rendering large-scale data sets within web browsers. It functions as a high-performance graphics engine that leverages hardware acceleration to display complex 2D and 3D visual layers, enabling the visualization of millions of data points through a structured, component-based syntax. The framework distinguishes itself through its ability to synchronize custom data visualizations with third-party mapping platforms. By managing camera states and coordinate systems, it allows developers to overlay high-perf