grafit 1.5.0

Garmin FIT file loader for SQLite + Grafana

GraFIT

Loads Garmin FIT files into a SQLite database and visualizes them in Grafana.

GraFIT parses .fit files (activities, sleep, GPS, etc.) using python-fitparse, writes them to SQLite using a schema generated from the FIT profile, and ships with Grafana provisioning (datasource + dashboards) so you can browse the data immediately.

Install

uv tool install grafit

Or run without installing:

uvx grafit <command> [options]

Requires Python 3.11+.

Usage

uv run grafit <command> [options]

Commands

• init <db_path> — create and initialize the SQLite database.
• import <path> <db_path> — import a FIT file or directory of FIT files into the database.
  • --force reimport files already present in the database.
  • --no-recursive do not recurse into subdirectories.
• stats <db_path> — show row counts per table.
• purge <db_path> --file-hash <sha256> — remove all rows imported from a given file.
• generate-schema <output> — write the full DDL SQL to a file.
• install-provisioning <dest> — copy the bundled Grafana provisioning (datasource + dashboards) to a directory.
  • --force overwrite the destination if it exists.

Global flag: -v / --verbose for debug logging.

Grafana

A docker-compose.yml is provided to run Grafana with the SQLite datasource plugin against ./fit_data.db and the bundled dashboards mounted from ./grafana-provisioning.

Note: the bundled compose file enables anonymous admin access and disables the login form. It is intended for local use only — do not expose it to a network.

Drop your FIT files into ./GARMIN and bring it up:

docker compose up

A grafit-init container installs the bundled provisioning, runs grafit init, and runs grafit import ./GARMIN against shared volumes; Grafana waits for it to finish before starting. Re-running docker compose up reuses the database — already-imported files are skipped by hash.

Grafana is then available at http://localhost:3000.