tf-viewer

Selfhosted web dashboard for activity tracking and analyzing. Visualize your activities and view your statistics.
Easy to setup, with a 100% static binary.

Features

• Multi-user support
• User and gear statistics
• Supports FIT file type (will support TCX and GPX in the future)
• Embedded database, works out of the box
• Easy to setup, deploy and maintain
• Fast, can run on Raspberry Pi (tested on 3A+)

Docker setup

• Create a folder for persisting data
• docker pull danielalvsaaker/tf-viewer:latest
• docker run -d -e TZ=<your timezone> -v <persisting data folder>:/data -p 8080:8080 danielalvsaaker/tf-viewer
• Go to http://localhost:8080 in your browser
• Check out the file example-config.toml in this repo, change and move the file to <persisting data folder>/config.toml if necessary

Setup from source

• Make sure Rust is installed (see https://rustup.rs/)
• git clone https://github.com/danielalvsaaker/tf-viewer && cd tf-viewer
• cargo install --release
• If your $PATH was set by the Rust installer, you should be able to run your binary as tf-viewer in your shell

Screenshot

• Example screenshot showing an activity

Built on

• sled: High-performance embedded key-value database
• actix-web: Fast async web framework

Note

The database will require migration after changes to the underlying on-disk-format. This especially applies before sled 1.0 is released. Migration scripts will in such case be provided.