Best Self Hosted Alternatives to Oura Cloud

Garmin Grafana is a Dockerized data pipeline that logs into Garmin Connect, fetches health and activity metrics from your Garmin account, and stores them in an InfluxDB database for visualization in Grafana. It is designed for long-term tracking and custom dashboards beyond what the Garmin app offers.

Key Features

• Automated periodic syncing of Garmin Connect data into InfluxDB
• Prebuilt Grafana dashboard provisioning for health and fitness trend visualization
• Collects a wide range of metrics such as heart rate, steps, sleep (including SpO2 and HRV), stress, Body Battery, calories, and activity minutes
• Workout and activity timeline support, including GPS/pace/altitude/HR for recorded activities
• Historical backfilling (bulk fetching) to populate older data
• Multi-user instance setup for multiple Garmin accounts
• Data export options (for example CSV) to support external analysis

Use Cases

• Build a personal long-term health and fitness dashboard using Grafana
• Maintain a private local archive of Garmin health metrics and workouts
• Analyze trends and correlations across sleep, stress, HRV, training load, and recovery over months/years

Limitations and Considerations

• Depends on Garmin Connect access and may break if Garmin changes its APIs or login/2FA flows
• Initial setup may require interactive authentication (including 2FA) to generate and store tokens

Garmin Grafana is a strong fit for Garmin device users who want ownership of their time-series health data and flexible Grafana visualizations, with automation for ongoing syncing and optional historical imports.

Statistics for Strava is a self-hosted, open-source web dashboard for exploring your Strava activities and long-term fitness trends. It syncs your Strava data and presents it through rich views, charts, and summaries.

Key Features

• Dashboard with stats and charts across your activities
• Detailed activity list with per-activity insights
• Monthly view with interactive calendar-style summaries
• Gear usage statistics and maintenance tracking
• Eddington number tracking for distance milestones
• Segment and effort history analysis
• Heatmap visualization of where you have been active
• Yearly recap view (Strava Rewind)
• Challenge tracking and activity photo archive
• Optional AI workout assistant for suggested workouts and insights

Use Cases

• Personal training analysis and long-term progress tracking beyond Strava’s built-in views
• Tracking gear wear, usage, and maintenance intervals for bikes, shoes, and more
• Reviewing yearly and monthly summaries to plan goals and training blocks

Statistics for Strava is well-suited for athletes who want full control over their training analytics and a private, customizable dashboard built around their Strava history.

A Python-based data collection service that retrieves personal health and activity metrics from the Fitbit Web API, writes them into a local InfluxDB time-series database, and visualizes the results in Grafana. It is designed for ongoing automatic syncing as well as historical backfilling to build long-term health trends.

Key Features

• Automatic data collection from the Fitbit API with OAuth 2.0 token refresh
• Stores metrics in InfluxDB for time-series analysis (best supported on InfluxDB 1.11)
• Grafana dashboard support, including heatmaps and long-term trend panels
• Collects a broad set of metrics such as heart rate (including intraday), steps, sleep, SpO2, HRV, breathing rate, activity minutes, and device battery
• Historical backfilling mode designed to respect Fitbit rate limits and handle 429 responses
• Docker Compose stack for running the fetcher, InfluxDB, and Grafana together

Use Cases

• Personal health and fitness dashboard with long-term trends and daily summaries
• Homelab time-series tracking of wearable metrics in InfluxDB with Grafana
• Historical analysis by backfilling months/years of Fitbit data for reporting

Limitations and Considerations

• Requires creating a Fitbit developer application and configuring OAuth tokens
• InfluxDB 2.x support is described as limited and may produce a less detailed dashboard; InfluxDB 1.11 is strongly recommended
• InfluxDB 3 OSS has query-time limitations that can make long-term visualization harder

It works well for users who want ownership of their Fitbit-derived metrics in their own database and prefer Grafana for visualization. The included schema and dashboards make it practical to deploy as a repeatable, automated pipeline.