AutoRA Firebase Prolific Experiment Runner
Firebase Prolific Runner provides runners to run experiments with Firebase and Prolific
WARNING: The firebase prolific runner creates an experiment on prolific and runs recruits participants automatically. This is an early alpha version and should be used with extreme caution.
Quick Start
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[experiment-runner-firebase-prolific]"
WARNING: Both runners work with a specific set up of the firebase database. For starters, follow this guide to set up an experiment using firebase here: https://github.com/AutoResearch/cra-template-autora-firebase
Metadata
Release files for autora-experiment-runner-firebase-prolific 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| autora_experiment_runner_firebase_prolific-1.0.1.tar.gz | 11.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autora_experiment_runner_firebase_prolific-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.1 kB
Release files / autora_experiment_runner_firebase_prolific-1.0.1.tar.gz
| Download URL | autora_experiment_runner_firebase_prolific-1.0.1.tar.gz |
|---|---|
| Size | 11.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/5.1.1 CPython/3.9.19
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Release files / autora_experiment_runner_firebase_prolific-1.0.1-py3-none-any.whl
| Download URL | autora_experiment_runner_firebase_prolific-1.0.1-py3-none-any.whl |
|---|---|
| Size | 5.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.19
|