SweetBean
SweetBean: A declarative language for behavioral experiments with human and artificial participants - Published in JOSS (2025)
Science Score: 100.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 9 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: joss.theoj.org -
✓Committers with academic emails
1 of 3 committers (33.3%) from academic institutions -
○Institutional organization owner
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✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Repository
A declarative programming language built in Python, designed for the synthesis of behavioral experiments
Basic Info
- Host: GitHub
- Owner: AutoResearch
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://autoresearch.github.io/sweetbean/
- Size: 5.29 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 7
- Releases: 20
Topics
Metadata Files
README.md
SweetBean
A declarative programming language built in Python, designed for the synthesis of behavioral experiments. It allows researchers to specify experiments once and seamlessly compile them into a jsPsych experiment for conducting studies with human participants or text-based simulations with synthetic participants using large-language models.
Features
- Declarative language: Specify experiments once and compile them into a jsPsych experiment for conducting studies with human participants or text-based simulations with synthetic participants using large-language models.
- Python-based: SweetBean is built in Python, making it accessible and easy to use for researchers and educators.
Integrate with other packages
This package seamlessly integrates with other packages aimed at running online behavioral experiments:
- AutoRA: For closed loop research, automatic experiment deployment, participant recruitment, and data collection.
- SweetPea: For experimental design.
But it can also be used as a standalone product.
Installation
The package is available on PyPI and can be installed via pip:
bash
pip install sweetbean
Compatibility
SweetBean is compatible with the following version of jsPsych:
- jsPsych:
7.x
Dependencies
Sweetbean has the following dependencies that need to be installed on your system:
- Python:
>=3.9, <4.0 - java
Other versions may work but are not officially supported. If you experience issues, please report them!
Python Dependencies
The following Python packages are required and will be installed automatically via pip:
jinja2transcryptpyppeteerpillow
jsPsych Plugins
SweetBean does not support all jsPsych plugins, but new plugins are added regularly.
If you need support for a specific jsPsych plugin, please open an issue here.
Documentation
You can find examples and documentation here: https://autoresearch.github.io/sweetbean/
Issues
Please report any issues with this software or its documentation here.
Contributing
We are open to contributions to SweetBean. More information can be found here.
Collaborating
We are always interested in collaborating! If you like our work but need some tailoring for your specific use case, please contact ystrittmatter@princeton.edu.
Citation
If you would like to reference SweetBean in a publication, you can use the following BibTeX entry referencing the associated publication in the Journal of Open Source Software:
bibtex
@article{Strittmatter2025, doi = {10.21105/joss.07703},
author = {Younes Strittmatter and Sebastian Musslick},
title = {SweetBean: A declarative language for behavioral experiments with human and artificial participants},
url = {https://doi.org/10.21105/joss.07703},
year = {2025},
publisher = {The Open Journal},
volume = {10},
number = {107},
pages = {7703},
journal = {Journal of Open Source Software},
doi = {10.21105/joss.07703}
}
About
This project is in active development by the Autonomous Empirical Research Group, Lead Designer Younes Strittmatter, led by Sebastian Musslick.
This research program was supported by Schmidt Science Fellows, in partnership with the Rhodes Trust, as well as the Carney BRAINSTORM program at Brown University.
Owner
- Name: Autonomous Empirical Research Initiative
- Login: AutoResearch
- Kind: organization
- Website: www.empiricalresearch.ai
- Repositories: 12
- Profile: https://github.com/AutoResearch
We strive to enhance and accelerate scientific discovery by automating steps in the empirical research process.
JOSS Publication
SweetBean: A declarative language for behavioral experiments with human and artificial participants
Authors
Princeton University, USA, Brown University, USA
Osnabrück University, Germany, Brown University, USA
Editor
Stefan Appelhoff
Tags
online behavioral experiments large language model experiments declarative language synthetic participantsCitation (CITATION.cff)
cff-version: "1.2.0"
authors:
- family-names: Strittmatter
given-names: Younes
orcid: "https://orcid.org/0000-0002-3414-2838"
- family-names: Musslick
given-names: Sebastian
orcid: "https://orcid.org/0000-0002-8896-639X"
contact:
- family-names: Strittmatter
given-names: Younes
orcid: "https://orcid.org/0000-0002-3414-2838"
doi: 10.5281/zenodo.15054706
message: If you use this software, please cite our article in the
Journal of Open Source Software.
preferred-citation:
authors:
- family-names: Strittmatter
given-names: Younes
orcid: "https://orcid.org/0000-0002-3414-2838"
- family-names: Musslick
given-names: Sebastian
orcid: "https://orcid.org/0000-0002-8896-639X"
date-published: 2025-03-20
doi: 10.21105/joss.07703
issn: 2475-9066
issue: 107
journal: Journal of Open Source Software
publisher:
name: Open Journals
start: 7703
title: "SweetBean: A declarative language for behavioral experiments
with human and artificial participants"
type: article
url: "https://joss.theoj.org/papers/10.21105/joss.07703"
volume: 10
title: "SweetBean: A declarative language for behavioral experiments
with human and artificial participants"
GitHub Events
Total
- Create event: 70
- Issues event: 70
- Release event: 19
- Watch event: 1
- Delete event: 2
- Issue comment event: 10
- Push event: 320
- Pull request review comment event: 2
- Pull request review event: 3
- Pull request event: 158
- Fork event: 1
Last Year
- Create event: 70
- Issues event: 70
- Release event: 19
- Watch event: 1
- Delete event: 2
- Issue comment event: 10
- Push event: 320
- Pull request review comment event: 2
- Pull request review event: 3
- Pull request event: 158
- Fork event: 1
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Younes Strittmatter | y****r@b****u | 221 |
| Sebastian Musslick | s****n@m****e | 39 |
| Ankush1oo8 | 1****8 | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 33
- Total pull requests: 79
- Average time to close issues: 5 days
- Average time to close pull requests: about 4 hours
- Total issue authors: 5
- Total pull request authors: 3
- Average comments per issue: 0.27
- Average comments per pull request: 0.0
- Merged pull requests: 77
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 33
- Pull requests: 79
- Average time to close issues: 5 days
- Average time to close pull requests: about 4 hours
- Issue authors: 5
- Pull request authors: 3
- Average comments per issue: 0.27
- Average comments per pull request: 0.0
- Merged pull requests: 77
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- younesStrittmatter (23)
- musslick (13)
- snamazova (2)
- syntactic (1)
- hauselin (1)
Pull Request Authors
- younesStrittmatter (113)
- musslick (18)
- Ankush1oo8 (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 655 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 60
- Total maintainers: 1
pypi.org: sweetbean
A declarative language in python for creating jsPsych experiments
- Documentation: https://sweetbean.readthedocs.io/
- License: MIT License Copyright (c) 2022 Younes Strittmatter Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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Latest release: 1.3.3
published 9 months ago
Rankings
Maintainers (1)
Dependencies
- actions/checkout v2 composite
- actions/setup-python v2 composite