ha-garmin

Python client for Garmin Connect API, designed for Home Assistant integration.

Features

Native Garmin Connect API integration
Robust authentication with multiple login strategies and automatic fallbacks
MFA support with automatic endpoint fallback
Token persistence - save and restore sessions to avoid re-login
Automatic token refresh - proactively refreshes before expiry
Retry with backoff for rate limits (429) and server errors (5xx)
Midnight fallback - automatically uses yesterday's data when today isn't ready yet
Coordinator-based fetch - optimized data fetching for Home Assistant multi-coordinator pattern
Data transformations - automatic unit conversions (seconds→minutes, grams→kg)

Installation

pip install ha-garmin

Optional: install with improved browser UA generation:

pip install ha-garmin[ua]

Usage

Standalone script

Authentication is synchronous; data fetches run in a thread pool and are awaited.

import asyncio
from datetime import date
from ha_garmin import GarminAuth, GarminClient, GarminMFARequired

# Auth is synchronous
auth = GarminAuth()

if not auth.load_session(".garmin_tokens.json"):
    try:
        auth.login("email@example.com", "password")
    except GarminMFARequired:
        mfa_code = input("Enter MFA code: ")
        auth.complete_mfa(mfa_code)
    auth.save_session(".garmin_tokens.json")

# timezone: fallback zone for "today" until the Garmin account's own UTC
# offset is learned from the first daily summary (defaults to the system zone).
client = GarminClient(auth, timezone="Europe/Amsterdam")


async def fetch_all():
    today = client.today()  # Garmin calendar date, independent of the process zone
    core_data     = await client.fetch_core_data(today)      # Steps, HR, sleep, stress
    body_data     = await client.fetch_body_data(today)      # Weight, body composition, fitness age
    activity_data = await client.fetch_activity_data(today)  # Activities, workouts, training calendar
    training_data = await client.fetch_training_data(today)  # HRV, training status
    goals_data    = await client.fetch_goals_data()          # Goals, badges
    gear_data     = await client.fetch_gear_data()           # Gear, alarms, solar, devices


asyncio.run(fetch_all())

Home Assistant integration

Set up auth during async_setup_entry and pass the client to your coordinators.

from datetime import date, timedelta
from homeassistant.config_entries import ConfigEntry
from homeassistant.core import HomeAssistant
from homeassistant.helpers.update_coordinator import DataUpdateCoordinator
from ha_garmin import GarminAuth, GarminClient

async def async_setup_entry(hass: HomeAssistant, entry: ConfigEntry) -> bool:
    auth = GarminAuth()

    token_path = hass.config.path(".storage/garmin_tokens.json")
    if not auth.load_session(token_path):
        # Initial login must have been completed via the config flow
        raise ConfigEntryAuthFailed("No valid Garmin session")

    client = GarminClient(auth)

    coordinator = GarminCoreCoordinator(hass, client)
    await coordinator.async_config_entry_first_refresh()

    hass.data.setdefault(DOMAIN, {})[entry.entry_id] = coordinator
    return True


class GarminCoreCoordinator(DataUpdateCoordinator):
    def __init__(self, hass: HomeAssistant, client: GarminClient) -> None:
        super().__init__(hass, logger=_LOGGER, name="Garmin core", update_interval=timedelta(minutes=15))
        self._client = client

    async def _async_update_data(self) -> dict:
        return await self._client.fetch_core_data(date.today())

Coordinator Fetch Methods

Optimized methods that group related API calls for Home Assistant coordinators:

Method	API Calls	Data Returned
`fetch_core_data()`	3	Steps, distance, calories, HR, stress, sleep, skin temperature change, body battery, SPO2
`fetch_body_data()`	3	Weight, BMI, body fat, hydration, fitness age
`fetch_activity_data()`	6+	Activities, workouts, HR zones, polylines, training calendar (scheduled workouts, plan goal event or calendar race)
`fetch_training_data()`	8+	Training readiness, status, VO2 Max, HRV, lactate, endurance/hill scores, power-to-weight
`fetch_goals_data()`	4	Goals (active/future/history), badges, user level
`fetch_gear_data()`	6+	Gear items, stats, device alarms, solar intensity (daily avg + gain), devices, last sync, paired sensors
`fetch_blood_pressure_data()`	1	Blood pressure measurements
`fetch_menstrual_data()`	2	Menstrual cycle data
`fetch_nutrition_data()`	1	Nutrition log: consumed macros, goals, per-meal breakdown

Write / Action Methods

Methods for logging data back to Garmin Connect, suitable for Home Assistant services:

Method	Description
`add_nutrition_log(calories, carbs, protein, fat, name)`	Log a Quick Add nutrition entry (requires Connect+)
`set_hydration(value_in_ml)`	Log hydration intake
`set_blood_pressure(systolic, diastolic, pulse)`	Log a blood pressure measurement
`add_body_composition(weight, percent_fat, ...)`	Log weight / body composition via FIT upload
`create_activity(name, type, start, duration_min)`	Create a manual activity
`upload_activity(file_path)`	Upload a FIT / GPX / TCX file
`set_active_gear(activity_type, setting, gear_uuid)`	Set default gear for an activity type
`add_gear_to_activity(gear_uuid, activity_id)`	Associate gear with an activity

Nutrition logging

Requires a Garmin Connect+ subscription and initial setup through the Garmin Connect app (the app creates the meal slots that the API needs).

await client.add_nutrition_log(
    calories=500,
    carbs=60,       # optional, grams
    protein=30,     # optional, grams
    fat=15,         # optional, grams
    name="Lunch",   # optional label
)

The method automatically fetches the correct meal slot ID and time for the day. If no meal slots are configured yet, open the Garmin Connect app and set up your nutrition plan first.

Individual API Methods

Method	Description
`get_user_profile()`	User profile info
`get_user_settings()`	Profile settings (`userData`, incl. VO2 Max running/cycling)
`get_daily_steps()`	Steps for date range
`get_body_composition()`	Weight, BMI, body fat
`get_fitness_age()`	Fitness age metrics
`get_hydration_data()`	Daily hydration
`get_activities()`	Most recent activities (newest first, no date filter)
`get_activity(activity_id)`	Single activity summary (includes e-bike fields)
`get_activity_details()`	Detailed activity with polyline
`get_activity_connect_iq_display_info()`	Field definitions of the Connect IQ apps used in an activity; values are in `get_activity()['connectIQMeasurements']`, joined by `fetch_activity_data()` into `lastActivity['connectIQFields']`
`get_activity_hr_in_timezones()`	HR time in zones
`download_activity(activity_id, file_format)`	Download activity file (fit/original/tcx/gpx/kml/csv)
`get_workouts()`	Workout library (created/saved workouts, not when scheduled)
`get_scheduled_workouts(year, month)`	Training calendar for a month: self-scheduled + Garmin Coach / adaptive-plan workouts
`get_training_readiness()`	Training readiness score
`get_training_status()`	Training status
`get_morning_training_readiness()`	Morning readiness
`get_endurance_score()`	Endurance score
`get_hill_score()`	Hill score
`get_lactate_threshold()`	Lactate threshold
`get_power_to_weight(target_date)`	FTP / power-to-weight data
`get_goals()`	User goals by status
`get_earned_badges()`	Earned badges
`get_gear()`	User gear items
`get_gear_stats()`	Gear statistics
`get_gear_defaults()`	Default gear settings
`get_devices()`	Connected devices
`get_sensors()`	Paired ANT+/BLE sensors and battery status
`get_device_alarms()`	Device alarms
`get_device_solar_data()`	Solar intensity data per device
`get_device_last_used()`	Last used device and last sync time
`get_device_settings()`	Device settings
`get_blood_pressure()`	Blood pressure data
`get_menstrual_data()`	Menstrual cycle data
`get_menstrual_calendar()`	Menstrual calendar
`get_nutrition_log()`	Daily nutrition log (Connect+)

Data Transformations

The library automatically adds computed fields for convenience:

Time conversions: sleepTimeSeconds → sleepTimeMinutes
Activity time: highlyActiveSeconds → highlyActiveMinutes
Weight: weight (grams) → weightKg
Stress: stressQualifier → stressQualifierText (capitalized)
Nested flattening: HRV status, training readiness, scores
VO2 Max: training status (running, else cycling), then profile settings, then recent activities
Training plan goal: the plan's goal event, else the upcoming (primary) race on your calendar
Skin temperature: avgSkinTempDeviationC is the nightly change from your baseline, not an absolute temperature
Sanity checks: a metabolicAge that can't be an age in years is returned as None

License

MIT

Metadata

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