Fitness activity data usually lives inside proprietary platforms, which makes it hard to analyse, combine with other spatial data, or publish in reusable map products. qfit is a QGIS plugin that brings that data back into an open GIS workflow.

In this talk, I will present qfit, a plugin that imports fitness activities from Strava into a local GeoPackage, turns them into analysis-ready QGIS layers, and supports a complete workflow from import to publication. The plugin covers three main use cases: importing and synchronising activities, visualising and filtering them in QGIS, and generating PDF atlas outputs with activity pages, summaries, and profile-ready metadata.

I will show how personal activity data can become a real geospatial dataset: styled, filtered, queried, combined with basemaps, and prepared for high quality print layouts. I will also share a few practical lessons from building the plugin, including handling detailed track geometry, temporal data, and atlas-oriented layer design.

This session is aimed at QGIS users and plugin developers interested in personal mobility, sports data, and new geospatial workflows built on open tools.