https://github.com/tolik518/strong-api-workout-sync
Fetch your own workout data from your "Strong" app
https://github.com/tolik518/strong-api-workout-sync
api clickhouse clickhouse-backup hacktober hacktoberfest resistance-training strong-app strongapp
Last synced: 22 days ago
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Fetch your own workout data from your "Strong" app
- Host: GitHub
- URL: https://github.com/tolik518/strong-api-workout-sync
- Owner: tolik518
- Created: 2025-02-24T22:09:20.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2026-05-04T14:32:18.000Z (about 2 months ago)
- Last Synced: 2026-05-04T16:31:14.912Z (about 2 months ago)
- Topics: api, clickhouse, clickhouse-backup, hacktober, hacktoberfest, resistance-training, strong-app, strongapp
- Language: Rust
- Homepage:
- Size: 364 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
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README
# Strong App Workout Sync
This 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.
The URL to the API backend is not provided here, for now, because it's not entirely public and because of possible legal implications.
If 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`.
## Why?
So you can do fun stuff with your workout data, like doing silly grafana dashboards.
For example, you can use the [Grafana Clickhouse plugin](https://grafana.com/grafana/plugins/grafana-clickhouse-datasource/) to visualize your workout data.
You 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.
You 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.
## How to use
0. Have your ClickHouse database ready and running
1. Clone this repo
2. Create `.env` file in the root directory with the following content:
```ini
STRONG_BACKEND=https://strong_backend_url.com
STRONG_USER=your_strong_user
STRONG_PASS=your_strong_pass
CLICKHOUSE_URL=http://clickhouse-server:8123
CLICKHOUSE_USER=default
CLICKHOUSE_PASS=
CLICKHOUSE_DATABASE=workouts
CLICKHOUSE_TABLE=workout_sets
```
3. Run with `cargo run`
### Alternatively: Use Docker Compose to run the service:
1. Make sure you have Docker and Docker Compose installed.
2. Create a `.env` file in the root directory with the same content as above.
3. Start the service with `docker compose up -d`.