The Garmin Connect API library comes with two examples:
example.py
- Simple getting-started example showing authentication, token storage, and basic API callsdemo.py
- Comprehensive demo providing access to 100+ API methods organized into 11 categories for easy navigation
Note: The demo menu is generated dynamically; exact options may change between releases.
$ ./demo.py
πββοΈ Full-blown Garmin Connect API Demo - Main Menu
==================================================
Select a category:
[1] π€ User & Profile
[2] π Daily Health & Activity
[3] π¬ Advanced Health Metrics
[4] π Historical Data & Trends
[5] π Activities & Workouts
[6] βοΈ Body Composition & Weight
[7] π Goals & Achievements
[8] β Device & Technical
[9] π½ Gear & Equipment
[0] π§ Hydration & Wellness
[a] π§ System & Export
[q] Exit program
Make your selection:
- Total API Methods: 100+ unique endpoints (snapshot)
- Categories: 11 organized sections
- User & Profile: 4 methods (basic user info, settings)
- Daily Health & Activity: 8 methods (today's health data)
- Advanced Health Metrics: 10 methods (fitness metrics, HRV, VO2)
- Historical Data & Trends: 6 methods (date range queries)
- Activities & Workouts: 20 methods (comprehensive activity management)
- Body Composition & Weight: 8 methods (weight tracking, body composition)
- Goals & Achievements: 15 methods (challenges, badges, goals)
- Device & Technical: 7 methods (device info, settings)
- Gear & Equipment: 6 methods (gear management, tracking)
- Hydration & Wellness: 9 methods (hydration, blood pressure, menstrual)
- System & Export: 4 methods (reporting, logout, GraphQL)
- Enhanced User Experience: Categorized navigation with emoji indicators
- Smart Data Management: Interactive weigh-in deletion with search capabilities
- Comprehensive Coverage: All major Garmin Connect features are accessible
- Error Handling: Robust error handling with user-friendly prompts
- Data Export: JSON export functionality for all data types
A comprehensive Python3 API wrapper for Garmin Connect, providing access to health, fitness, and device data.
This library enables developers to programmatically access Garmin Connect data including:
- Health Metrics: Heart rate, sleep, stress, body composition, SpO2, HRV
- Activity Data: Workouts, exercises, training status, performance metrics
- Device Information: Connected devices, settings, alarms, solar data
- Goals & Achievements: Personal records, badges, challenges, race predictions
- Historical Data: Trends, progress tracking, date range queries
Compatible with all Garmin Connect accounts. See https://connect.garmin.com/
Install from PyPI:
python3 -m pip install --upgrade pip
python3 -m pip install garminconnect
python3 -m venv .venv --copies
source .venv/bin/activate # On Windows: .venv\Scripts\activate
pip install pdm
pdm install --group :example
# Run the simple example
python3 ./example.py
# Run the comprehensive demo
python3 ./demo.py
Set up a development environment for contributing:
Note: This project uses PDM for modern Python dependency management and task automation. All development tasks are configured as PDM scripts in
pyproject.toml
. The Python interpreter is automatically configured to use.venv/bin/python
when you create the virtual environment.
Environment Setup:
β οΈ Important: On externally-managed Python environments (like Debian/Ubuntu), you must create a virtual environment before installing PDM to avoid system package conflicts.
# 1. Create and activate a virtual environment
python3 -m venv .venv --copies
source .venv/bin/activate # On Windows: .venv\Scripts\activate
# 2. Install PDM (Python Dependency Manager)
pip install pdm
# 3. Install all development dependencies
pdm install --group :all
# 4. Install optional tools for enhanced development experience
pip install "black[jupyter]" codespell pre-commit
# 5. Setup pre-commit hooks (optional)
pre-commit install --install-hooks
Alternative for System-wide PDM Installation:
# Install PDM via pipx (recommended for system-wide tools)
python3 -m pip install --user pipx
pipx install pdm
# Then proceed with project setup
pdm install --group :all
Available Development Commands:
pdm run format # Auto-format code (isort, black, ruff --fix)
pdm run lint # Check code quality (isort, ruff, black, mypy)
pdm run codespell # Check spelling errors (install codespell if needed)
pdm run test # Run test suite
pdm run testcov # Run tests with coverage report
pdm run all # Run all checks
pdm run clean # Clean build artifacts and cache files
pdm run build # Build package for distribution
pdm run publish # Build and publish to PyPI
View all available commands:
pdm run --list # Display all available PDM scripts
Code Quality Workflow:
# Before making changes
pdm run lint # Check current code quality
# After making changes
pdm run format # Auto-format your code
pdm run lint # Verify code quality
pdm run codespell # Check spelling
pdm run test # Run tests to ensure nothing broke
Run these commands before submitting PRs to ensure code quality standards.
The library uses the same OAuth authentication as the official Garmin Connect app via Garth.
Key Features:
- Login credentials valid for one year (no repeated logins)
- Secure OAuth token storage
- Same authentication flow as official app
Advanced Configuration:
# Optional: Custom OAuth consumer (before login)
import os
import garth
garth.sso.OAUTH_CONSUMER = {
'key': os.getenv('GARTH_OAUTH_KEY', '<YOUR_KEY>'),
'secret': os.getenv('GARTH_OAUTH_SECRET', '<YOUR_SECRET>'),
}
# Note: Set these env vars securely; placeholders are non-sensitive.
Token Storage:
Tokens are automatically saved to ~/.garminconnect
directory for persistent authentication.
For security, ensure restrictive permissions:
chmod 700 ~/.garminconnect
chmod 600 ~/.garminconnect/* 2>/dev/null || true
Run the test suite to verify functionality:
Prerequisites:
Create tokens in ~/.garminconnect by running the example program.
# Install development dependencies
pdm install --group :all
Run Tests:
pdm run test # Run all tests
pdm run testcov # Run tests with coverage report
Optional: keep test tokens isolated
export GARMINTOKENS="$(mktemp -d)"
python3 ./example.py # create fresh tokens for tests
pdm run test
Note: Tests automatically use ~/.garminconnect
as the default token file location. You can override this by setting the GARMINTOKENS
environment variable. Run example.py
first to generate authentication tokens for testing.
For Developers: Tests use VCR cassettes to record/replay HTTP interactions. If tests fail with authentication errors, ensure valid tokens exist in ~/.garminconnect
For package maintainers:
Setup PyPI credentials:
pip install twine
# Edit with your preferred editor, or create via here-doc:
# cat > ~/.pypirc <<'EOF'
# [pypi]
# username = __token__
# password = <PyPI_API_TOKEN>
# EOF
[pypi]
username = __token__
password = <PyPI_API_TOKEN>
Recommended: use environment variables and restrict file perms
chmod 600 ~/.pypirc
export TWINE_USERNAME="__token__"
export TWINE_PASSWORD="<PyPI_API_TOKEN>"
Publish new version:
pdm run publish # Build and publish to PyPI
Alternative publishing steps:
pdm run build # Build package only
pdm publish # Publish pre-built package
We welcome contributions! Here's how you can help:
- Report Issues: Bug reports and feature requests via GitHub issues
- Submit PRs: Code improvements, new features, documentation updates
- Testing: Help test new features and report compatibility issues
- Documentation: Improve examples, add use cases, fix typos
Before Contributing:
- Set up development environment (
pdm install --group :all
) - Execute code quality checks (
pdm run format && pdm run lint
) - Test your changes (
pdm run test
) - Follow existing code style and patterns
Development Workflow:
# 1. Setup environment (with virtual environment)
python3 -m venv .venv --copies
source .venv/bin/activate
pip install pdm
pdm install --group :all
# 2. Make your changes
# ... edit code ...
# 3. Quality checks
pdm run format # Auto-format code
pdm run lint # Check code quality
pdm run test # Run tests
# 4. Submit PR
git commit -m "Your changes"
git push origin your-branch
Explore the API interactively with our reference notebook.
from garminconnect import Garmin
import os
# Initialize and login
client = Garmin(
os.getenv("GARMIN_EMAIL", "<YOUR_EMAIL>"),
os.getenv("GARMIN_PASSWORD", "<YOUR_PASSWORD>")
)
client.login()
# Get today's stats
from datetime import date
_today = date.today().strftime('%Y-%m-%d')
stats = client.get_stats(_today)
# Get heart rate data
hr_data = client.get_heart_rates(_today)
print(f"Resting HR: {hr_data.get('restingHeartRate', 'n/a')}")
- Simple Example: example.py - Getting started guide
- Comprehensive Demo: demo.py - All 101 API methods
- API Documentation: Comprehensive method documentation in source code
- Test Cases: Real-world usage examples in
tests/
directory
Special thanks to all contributors who have helped improve this project:
- Community Contributors: Bug reports, feature requests, and code improvements
- Issue Reporters: Helping identify and resolve compatibility issues
- Feature Developers: Adding new API endpoints and functionality
- Documentation Authors: Improving examples and user guides
This project thrives thanks to community involvement and feedback.
If you find this library useful for your projects, please consider supporting its continued development and maintenance:
- β Star this repository - Help others discover the project
- π° Financial Support - Contribute to development and hosting costs
- π Report Issues - Help improve stability and compatibility
- π Spread the Word - Share with other developers
Why Support?
- Keeps the project actively maintained
- Enables faster bug fixes and new features
- Supports infrastructure costs (testing, AI, CI/CD)
- Shows appreciation for hundreds of hours of development
Every contribution, no matter the size, makes a difference and is greatly appreciated! π