semvec/pypi-packages huggingface dataset:
autora-runner-experimentation-manager-firebase 0.1.0
AutoRA Experimentation Manager Firebase provides functionality to manage communication of conditions and observation between AutoRA and an experiment on Firebase.
License: MIT License
Requires Python: <4,>=3.8

# AutoRA Firebase Experimentation Manager

AutoRA firebase experimentation manager provides functionality to  manage communication of conditions and observation between AutoRA and an experiment on Firebase.

Website: https://autoresearch.github.io/autora/

## User Guide

Install this in an environment using your chosen package manager. In this example we are using virtualenv

Install:
- python (3.8 or greater): https://www.python.org/downloads/
- virtualenv: https://virtualenv.pypa.io/en/latest/installation.html

Install the Prolific Recruitment Manager as part of the autora package:

pip install -U "autora[runner-experimentation-manager-firebase]"

## Developer Guide

### Get started
Clone the repository (e.g. using GitHub desktop, or the gh command line tool) and install it in "editable" mode in an isolated python environment, (e.g. with virtualenv) as follows:


Create a new virtual environment:
```shell
virtualenv venv
```

Activate it:
```shell
source venv/bin/activate
```

Use `pip install` to install the current project (`"."`) in editable mode (`-e`) with dev-dependencies (`[dev]`):
```shell
pip install -e ".[dev]"
```

## Add new dependencies 

In pyproject.toml add the new dependencies under `dependencies`

Install the added dependencies
```shell
pip install -e ".[dev]"
```

## Publishing the package

Update the metadata under `project` in the pyproject.toml file to include name, description, author-name, author-email and version

- Follow the guide here: https://packaging.python.org/en/latest/tutorials/packaging-projects/

Build the package using:
```shell
python -m build
```

Publish the package to PyPI using `twine`:
```shell
twine upload dist/*
```
autora-runner-recruitment-manager-prolific 0.1.0
AutoRA prolific recruitment manager provides functionality to recruite participants via Prolific to setup an experiment runner for AutoRA
License: MIT License
Requires Python: <4,>=3.8

# AutoRA Prolific Recruitment Manager

AutoRA prolific recruitment manager provides functionality to recruit participants via Prolific to set up an experiment runner for AutoRA.

Website: https://autoresearch.github.io/autora/

## User Guide

Install this in an environment using your chosen package manager. In this example we are using virtualenv

Install:
- python (3.8 or greater): https://www.python.org/downloads/
- virtualenv: https://virtualenv.pypa.io/en/latest/installation.html

Install the Prolific Recruitment Manager as part of the autora package:

pip install -U "autora[runner-recruitment-manager-prolific]"

## Developer Guide

### Get started
Clone the repository (e.g. using GitHub desktop, or the gh command line tool) and install it in "editable" mode in an isolated python environment, (e.g. with virtualenv) as follows:


Create a new virtual environment:
```shell
virtualenv venv
```

Activate it:
```shell
source venv/bin/activate
```

Use `pip install` to install the current project (`"."`) in editable mode (`-e`) with dev-dependencies (`[dev]`):
```shell
pip install -e ".[dev]"
```

## Add new dependencies 

In pyproject.toml add the new dependencies under `dependencies`

Install the added dependencies
```shell
pip install -e ".[dev]"
```

## Publishing the package

Update the metadata under `project` in the pyproject.toml file to include name, description, author-name, author-email and version

- Follow the guide here: https://packaging.python.org/en/latest/tutorials/packaging-projects/

Build the package using:
```shell
python -m build
```

Publish the package to PyPI using `twine`:
```shell
twine upload dist/*
```