# eCAL

Analytical estimation of the energy cost of the AI lifecycle (J/bit).

eCAL computes the total energy consumed across the full AI model lifecycle —
data transmission, preprocessing, training, evaluation, and inference — using
closed-form FLOP formulas and hardware power profiles.

Published in **IEEE Journal on Selected Areas in Communications (JSAC), 2026**.

```{toctree}
:maxdepth: 2
:hidden:

installation
quickstart
architecture
cli
configuration
citation
api/index
```

## License

BSD 3-Clause License. See [LICENSE](https://github.com/sensorlab/eCAL/blob/main/LICENSE).

For contributing/development setup (running tests, linting, type checking),
see the [project README](https://github.com/sensorlab/eCAL#development).