A versatile Go-based toolkit for comprehensive GPX track analysis and optimization. Features include maximum speed calculations, slope computations, removal of erratic points, track simplification, and more. Ideal for outdoor enthusiasts, athletes, and GIS professionals seeking insights from their GPX data.

Render paper maps from tiles using landez and mapnik.

Render paper maps using Maperitive

GPX files vizualizer and modifier with graphic user interface using ezGPX

Render paper maps from Openstreetmap data using mapnik.

I would like to analyse GPX datas by R.

Analysis of GPX tracks using IgorPro

Clean GPX files and add elevation data from SRTM files

GPX Concatenator is a Python tool for combining and colorizing GPX (GPS Exchange Format) files.

An automatic GPX track classifier against KML area polygon

Minimalistic visualization of GPX files for running, cycling, and other sports.

Simple multiple GPX-tracks player, an open source alternative to Strava's Flyby

A GPX library written in Kotlin

Predict personalized hiking times

A python script to calculate the minimum amount of pages needed to render one or more GPX tracks

Tools for parsing and using USGS SRTM 1 Arc-Second Global (30m) and ALOS World 3D-30m (AW3D30) elevation data

Keep a local mirror of Strava activities for further analysis/processing