Python package to parse, analyse, and plot Apple HealthKit data
Project description
Source: https://github.com/alxdrcirilo/apple-health-parser
Documentation: https://alxdrcirilo.dev/apple-health-parser
The Apple Health Parser Python package simplifies the extraction and analysis of health data exported from Apple HealthKit. Designed for seamless integration into data science workflows and health analytics applications, this package offers robust parsing and plotting capabilities for various health metrics stored in the Apple Health export XML format.
In a nutshell, Apple Health Parser is capable of:
- Extraction and processing of health data from the Apple HealthKit (i.e.
export.zip
) - Parsing and validation of health records
- Plotting (optionally interactive) health records
- Exporting plots and tables from the parsed health records
Additionally, it also comes with a CLI for the terminal geeks.
:warning: This package is still in active development and has not been tested on real data coming from different sources, nor has it been tested with data originating from versions of iOS < 17.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file apple_health_parser-0.5.3.tar.gz
.
File metadata
- Download URL: apple_health_parser-0.5.3.tar.gz
- Upload date:
- Size: 16.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.12.1 Linux/6.5.0-1023-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 72b63ac81c7d3ecb4e6e003b7b115e438497c177773f52dd70fe31cd4017fca6 |
|
MD5 | af993895a1f05babf84d014d7db1e4ab |
|
BLAKE2b-256 | ee7a4a3c4e7a7d9e60e160319a65d07c5087e4ceb827688fc175e2acaf2498e0 |
File details
Details for the file apple_health_parser-0.5.3-py3-none-any.whl
.
File metadata
- Download URL: apple_health_parser-0.5.3-py3-none-any.whl
- Upload date:
- Size: 23.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.12.1 Linux/6.5.0-1023-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a7ab479eccde3838ffddc48d1f0b3137c673cc9ccc1f092d1c990a9ce9399840 |
|
MD5 | 478798fd2c2ed1ab245e4590c6541bb0 |
|
BLAKE2b-256 | 043546daf76e02d2e252798fd86b5a5eeeffacfc4b32cee5d1a97159c0258f2e |