{"id":50326565,"url":"https://github.com/tolik518/strong-api-workout-sync","last_synced_at":"2026-05-29T06:30:59.161Z","repository":{"id":310135601,"uuid":"938392538","full_name":"tolik518/strong-api-workout-sync","owner":"tolik518","description":"Fetch your own workout data from your \"Strong\" 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Strong App Workout Sync\n\nThis is a Rust-based service to fetch workouts from the [Strong App](https://www.strong.app/) (available for [Apple](https://apps.apple.com/us/app/strong-workout-tracker-gym-log/id464254577) and [Android](https://play.google.com/store/apps/details?id=io.strongapp.strong)) and store them in a ClickHouse database.\n\n\nThe URL to the API backend is not provided here, for now, because it's not entirely public and because of possible legal implications.\n\nIf using docker-compose, the service will run 18:00, 18:30, 19:00, 19:30, 20:00 and 20:30, but you can change this in the `Dockerfile`.\n\n![heatmap](https://r0.fyi/strong?style=dark)\n\n## Why?\n\nSo you can do fun stuff with your workout data, like doing silly grafana dashboards.\nFor example, you can use the [Grafana Clickhouse plugin](https://grafana.com/grafana/plugins/grafana-clickhouse-datasource/) to visualize your workout data.\n\nYou can make heatmaps, like the one you have on github, or you can make a dashboard that shows your progress over time, or you can make a dashboard that shows your workout history.\n\n![heatmap](./.github/heatmap.png)\nYou can find the Grafana JSON for the [heatmap](./examples/grafana/heatmap.json) and for the [excercises per week](./examples/grafana/excercises-per-week.json) in the [examples](./examples/grafana) folder.\n\n\n## How to use\n\n0. Have your ClickHouse database ready and running\n1. Clone this repo\n2. Create `.env` file in the root directory with the following content:\n    ```ini\n    STRONG_BACKEND=https://strong_backend_url.com\n    \n    STRONG_USER=your_strong_user\n    STRONG_PASS=your_strong_pass\n\n    CLICKHOUSE_URL=http://clickhouse-server:8123\n    CLICKHOUSE_USER=default\n    CLICKHOUSE_PASS=\n    CLICKHOUSE_DATABASE=workouts\n    CLICKHOUSE_TABLE=workout_sets\n    ```\n3. Run with `cargo run`\n\n### Alternatively: Use Docker Compose to run the service:\n\n1. Make sure you have Docker and Docker Compose installed.\n2. Create a `.env` file in the root directory with the same content as above.\n3. Start the service with `docker compose up -d`.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftolik518%2Fstrong-api-workout-sync","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftolik518%2Fstrong-api-workout-sync","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftolik518%2Fstrong-api-workout-sync/lists"}