fit-files

Programs to process GoPro MP4 & Generic GPX/FIT files and create video dashboards & maps

A tool to edit and upload FIT files produced by virtual cycling apps to Garmin Connect

Sync iGPSPORT and Bryton activities with Intervals.icu, and send planned workouts back to your cycling computer.

Convert fit to gpx files fast and conveniently without leaving the terminal.

Local-first Python CLI that turns Garmin Account Data Export into reproducible running, FIT, sleep, HRV, and training datasets with QA and provenance.

Open-source, local-first training platform: calendar, AI assistant, Garmin & WHOOP sync — plus a TypeScript SDK, CLI, and MCP server for FIT, TCX, ZWO, and Garmin Connect workout files.

Corpus of Flexible and Interoperable Data Transfer files to support interoperability testing.

Fast Garmin FIT file parsing for Python, backed by the rustyfit Rust crate — ~36× faster FIT→NumPy than pure-Python parsers

Partial subset of a bigger repository. This only contains the general data that are recorded daily and downloaded from Garmin Connect.

Parse Garmin FIT files and visualize activities as interactive maps, health dashboards, and printable posters

A Python tool that estimates calories burned from .fit files using the Keytel formula. Features batch processing of fitness files and an interactive calculator that can solve for calories, heart rate, weight, or age.

佳捷驰 — 运动手表数据同步安卓 App：Garmin 中国服 / Garmin 国际服 / COROS 高驰三平台双向互传，无服务器、数据仅存本地。Sync sports activities between Garmin CN, Garmin Global and COROS, serverless Android app.

Wahoo Fitness — independent third-party profile of a public API surface, by API Evangelist. Wahoo Fitness is an Atlanta, Georgia endurance-training hardware and software company building cycling and run-training products: the ELEMNT family of GPS bike computers (ACE, ROAM, BOLT), the KICKR family of smart trainers and bikes (KICKR BIKE PRO/SHIFT, K

Local-first cycling analytics for Strava/Garmin FIT exports — a browser dashboard and a CLI. Training load (CTL/ATL/TSB), power curve, zones, durability, and climb comparison. No API, no cloud, nothing leaves your machine.

This is the coding and solution for my MSc Computer Science Thesis (2023) that uses Garmin FIT files to visualise athletes data for their own training development

Cross-platform Agent Skill and Python CLI for decoding, deduplicating, and reconciling Garmin FIT workout files

A deterministic, knowledge-first running product that turns FIT data into coach-style activity, weekly, monthly, and attention-based training reviews.

Interactive Shiny app for comparing fitness-device FIT files with synchronized visualizations, statistical agreement analysis, and optional LLM-generated insights.