health-data

Synthetic Patient Population Simulator

The AI-native health data engine — collect, translate, and reason with AI Agents over labs, wearables & genomics.

Ally-Health is an intelligent healthcare assistant that harnesses advanced AI technology and medical expertise to transform personal health management. Through natural language interaction, it helps users record symptoms, manage medications, organize medical records, and access multidisciplinary health insights—making healthcare more intelligent, p

Visualise your Apple Health export in Grafana

Local-first Apple Health MCP server. Lets AI assistants answer questions about your sleep, workouts, activity and heart data from a local export.

Privacy-first Apple Health export analyzer for CSV/JSON, charts, and local or cloud AI chat.

Google Health CLI — one command-line tool for the Google Health API. Includes AI agent skills.

In this project, the objective is to predict whether the person has Diabetes or not based on various features like Number of Pregnancies, Insulin Level, Age, BMI.

Universal BLE Smart Scale bridge. Captures body composition from Renpho, Xiaomi & 20+ others, syncs to Garmin Connect, Strava, MQTT (Home Assistant), InfluxDB, Webhooks, Ntfy & local files (CSV/JSONL). Headless CLI for Raspberry Pi, Linux, macOS & Windows.

Collection of Apple Shortcuts to export Oura Ring Health data to Apple Health.

This is a stream overlay that shows heart rate, calorie burn, and more information sent from an Apple Watch or Android watch running the Health Data Server app

A local-first Windows desktop bridge for syncing, exploring, and exporting your Zepp wearable health data.

A Model Context Protocol (MCP) server providing AI assistants with access to healthcare data and medical information tools, including FDA drug info, PubMed, medRxiv, NCBI Bookshelf, clinical trials, ICD-10, DICOM metadata, and a medical calculator.

Open-source version of Pryv.io

MCP server for AI assistants to read and manage Coros fitness data: sleep, HRV, daily metrics, activities, and structured workouts via the unofficial Coros API

A simple Python CLI to download Garmin Connect data as local files and load them into a SQLite database for analysis

Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied

Python client for the WHOOP API v2 with OAuth2 support.

Self-hosted health-data observatory: sync Apple Health, early wearable plugins, and Garmin/Samsung imports into a canonical TimescaleDB record; view baseline-linked findings and query a private API. Docker-ready, local-first, default-deny egress.

Python client for the Oura API v2 with OAuth2 support.