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.

The_Fit_District is a comprehensive gym membership dataset comprising seven interconnected tables—Branches, Members, Subscriptions, Trainers, Plans, Attendance, and Payments—designed to model real-world fitness center operations, track member activity, manage trainer assignments, analyze plan utilization, and monitor attendance patterns.

TypeScript SDK for the TrainingPeaks platform

Transforming Garmin wearable telemetry into behavioural intelligence using Python, analytics, predictive modelling and Power BI.

EDA and visualization of FitBit fitness tracker data to identify user behavior trends and deliver product recommendations for BellaBeat. Google Data Analytics Certificate capstone.

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

MCP server for Strava API - Connect AI agents to your athletic data. Retrieve athlete stats, activities, lap splits, and GPS/heart rate streams. Built with Python and FastMCP.

Project: Core Feature Implementation and Initial User Testing. Created at https://spectra.codes, which is owned by @Drix10

Machine learning project for predicting calories burned during gym workout sessions using Python, EDA, regression models, hyperparameter tuning, and SHAP explainability.

Professional Python tool to clean up the Garmin Data Export mess. Auto-discovers activity files across multi-part ZIPs, renames them using intelligent metadata extraction with offline GPS-timezone detection, and provides Lightroom-ready GPX files for ultimate data sovereignty.

Use Strava's official MCP from Codex and OpenCode without creating a developer app. Local macOS Keychain and privacy-first streams.

Free local-first Polar Flow to Garmin Connect migration tool. Convert Polar Flow ZIP/JSON exports to TCX/FIT in your browser.

End-to-end fitness data analysis in Alteryx — data cleaning, BMI & lifestyle analysis, sleep/step patterns, and weekly activity insights. DataCamp Certified.

Bellabeat case study analyzing consumer fitness behavior using public Fitbit data (Python).

An R-based analytics project for exploring and modeling gym activity data from 973 users. The pipeline performs descriptive analysis and statistical inference, while an interactive R Shiny app supports automated modeling, visualization, and result export for exploratory analysis.

Local-first WHOOP to Garmin FIT migration toolkit for exporting workouts, sleep, recovery, cycles, and body data.

Whatte is an experimental training analytics platform built around Strava ingestion, FastAPI, PostgreSQL, and self-hosted infrastructure.