Prest
Prest: Open-Source Software for Computational Revealed Preference Analysis - Published in JOSS (2018)
Science Score: 95.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README and JOSS metadata -
○Academic publication links
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✓Committers with academic emails
2 of 5 committers (40.0%) from academic institutions -
○Institutional organization owner
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✓JOSS paper metadata
Published in Journal of Open Source Software
Repository
Revealed preference analysis and preference estimation from choice datasets
Basic Info
- Host: GitHub
- Owner: prestsoftware
- License: other
- Language: Rust
- Default Branch: master
- Homepage: https://prestsoftware.com
- Size: 3.45 MB
Statistics
- Stars: 15
- Watchers: 2
- Forks: 4
- Open Issues: 0
- Releases: 2
Metadata Files
README.md
Prest
Revealed-preference analysis and preference estimation from choice data: https://prestsoftware.com
Reach us at gerasimou AT outlook DOT com and ziman AT functor DOT sk.
Introduction
Prest is a free and user-friendly desktop application for computational revealed preference analysis. It allows for processing choice datasets that economists, psychologists and consumer/marketing researchers often generate through experiments, market studies or surveys.
Documentation and downloads
Pre-built Prest binaries can be downloaded from the landing page of the documentation at https://prestsoftware.com.
Building and running Prest
Dependencies: * Rust 1.26 stable + Cargo * Python 3.10+
Install the dependencies, compile everything and run:
bash
$ pip install --user -r gui/requirements.txt
$ make run
Optionally, work in a virtual environment:
```bash $ python3 -m venv prest.env $ source prest.env/bin/activate
The next line is different from the previous installation command.
$ pip install -r gui/requirements.txt $ make run ```
The build invoked by the commands above will, among other things, build the
HTML documentation, which is required for the help features of Prest. It will
also typecheck the code using mypy.
Testing
bash
$ make test # quick test during development
$ make fulltest # includes long-running tests
The most comprehensive test is the integration
test,
which runs the whole pipeline including the Rust core on the example
datasets.
It is invoked in the course of the above commands; make test uses only the small
example datasets, while make fulltest uses all of them.
Packaging
We build stand-alone binaries using PyInstaller. These build scripts are not published at the moment.
License
Prest consists of two separate programs: GUI (GNU GPL) and core (BSD-3-Clause). The full license texts can be found in the corresponding subdirectories of the source code.
Citation
If you use Prest in your academic work, please cite it as follows:
Georgios Gerasimou and Matúš Tejiščák (2018) Prest: Open-Source Software for Computational Revealed Preference Analysis, Journal of Open Source Software, 3(30), 1015, doi:10.21105.joss.01015.
Declarations
Prest does not collect any data entered by its users.
The latest version of Prest will always be available online for free.
Owner
- Name: Prest
- Login: prestsoftware
- Kind: organization
- Website: https://prestsoftware.com
- Repositories: 1
- Profile: https://github.com/prestsoftware
Revealed preference analysis & preference estimation from choice datasets
JOSS Publication
Prest: Open-Source Software for Computational Revealed Preference Analysis
Authors
School of Computer Science, University of St Andrews
Tags
choice consistency analysis axioms preference estimation simulationsGitHub Events
Total
- Create event: 6
- Commit comment event: 1
- Release event: 1
- Watch event: 8
- Delete event: 11
- Push event: 92
- Pull request event: 2
- Fork event: 1
Last Year
- Create event: 6
- Commit comment event: 1
- Release event: 1
- Watch event: 8
- Delete event: 11
- Push event: 92
- Pull request event: 2
- Fork event: 1
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Matus Tejiscak | z****n@f****k | 464 |
| Georgios Gerasimou | g****u@o****m | 146 |
| HaoZeke | r****i@a****m | 5 |
| Tom Harley | t****h@s****k | 1 |
| Georgios Gerasimou | g****6@s****k | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 3
- Total pull requests: 4
- Average time to close issues: about 24 hours
- Average time to close pull requests: 2 days
- Total issue authors: 1
- Total pull request authors: 2
- Average comments per issue: 2.67
- Average comments per pull request: 0.5
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: 7 days
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- HaoZeke (3)
Pull Request Authors
- HaoZeke (3)
- georgiosgerasimou (2)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- actions-rs/toolchain v1 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/upload-artifact v2 composite
- PyQt5 *
- PyQt5-stubs *
- hypothesis *
- mypy *
- numpy *
- openpyxl *
- pip *
- pyinstaller *
- pytest *
- sphinx *
- sphinx-mathjax-offline *
- sphinxcontrib-bibtex *
- sphinxcontrib-websupport *
- sphinxjp-themes-basicstrap *
- tqdm *
