semvec/pypi-packages huggingface dataset:
homelypy 0.1.15
A thin client wrapper for Homely API
Requires Python: >=3.7

# homelypy
A thin wrapper for the Homely alarm company API

# Data dump
This can be used to easily extract a data dump from the API. Simply clone the repository or install from pypi (pip install homelypy) and run
```shell
python3 -m homelypy.homely <username>
```
You will be prompted for a password, then it will dump all the locations and associated sensors in the system. It is gathered inappropriate location_<location_name>.json for convenience.

# Building and packaging
```shell
rm -R dist
python3 -m build
python3 -m twine upload dist/* --verbose
```
asenion 1.4
Asenion Client is a project that aims at simplifying the Data Science experience of model development and validation reporting workflows for machine learning models. It contains Python libraries with APIs for capturing quantitative data while ensuring internal policies and external regulatory requirements are satisfied via a checklist of smart controls.
Requires Python: >=3.10.6

# ![Fairly AI logo](assets/images/logo.png)

Fairly Client is a project that aims at simplifying the Data Science experience of model
development and validation reporting workflows for machine learning models. It contains Python libraries with APIs for capturing
quantitative data while ensuring internal policies and external regulatory requirements are satisfied via a checklist of smart controls.

## Getting started

See [docs/SETUP.md](docs/SETUP.md) for instructions detailing how to set up the environment to run the Fairly Client.

You can find a set of curated Notebooks in the [notebooks](notebooks/) directory.

## API

See [docs/API.md](docs/API.md) for a list of functions that the Fairly Client provides to interface with the Fairly App.