Grama
Grama: A Grammar of Model Analysis - Published in JOSS (2020)
Science Score: 95.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 10 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: joss.theoj.org -
✓Committers with academic emails
4 of 10 committers (40.0%) from academic institutions -
○Institutional organization owner
-
✓JOSS paper metadata
Published in Journal of Open Source Software
Keywords
Scientific Fields
Repository
Implementation of a grammar of model analysis
Basic Info
- Host: GitHub
- Owner: zdelrosario
- License: mit
- Language: Jupyter Notebook
- Default Branch: master
- Homepage: https://py-grama.readthedocs.io/en/latest/
- Size: 19.1 MB
Statistics
- Stars: 19
- Watchers: 4
- Forks: 11
- Open Issues: 36
- Releases: 13
Topics
Metadata Files
README.md
py_grama
Implementation of a grammar of model analysis (grama). See the documentation for more info.
Overview
Grama is a grammar of model analysis---a Python package that supports building and analyzing models with quantified uncertainties. This language is heavily inspired by the Tidyverse. Grama provides convenient syntax for building a model (with functions and distributions), generating data, and visualizing results. The purpose of this language is to support scientists and engineers learning to handle uncertainty, and to improve documentation + reproducibility of results.
Uncertainty Quantification (UQ) is the science of analyzing uncertainty in scientific problems and using those results to inform decisions. UQ has important applications to building safety-critical engineering systems, and to making high-consequence choices based on scientific models. However, UQ is generally not taught at the undergraduate level: Many engineers leave their undergraduate training with a purely deterministic view of their discipline, which can lead to probabilistic design errors that negatively impact safety. To that end, Grama is designed to facilitate rapid model analysis, communication of results, and the teaching of concepts, all with quantified uncertainties. Intended users of Grama are scientists and engineers at the undergraduate level and upward, seeking to analyze computationally-lightweight models.
Installation
Quick install:
bash
$ pip install py-grama
For a manual install clone this repo, change directories and run the following to install dependencies. (Note: I recommend Anaconda as a Python distribution; it takes care of most of the dependencies.)
bash
$ git clone git@github.com:zdelrosario/py_grama.git
$ cd py_grama/
$ pip install -r requirements.txt
$ pip install .
Run the following to check your install:
```bash $ python
import grama ```
Quick Tour
py_grama has tools for both building and analyzing models. For a quick look at functionality, see the following notebooks:
Tutorials
The tutorials page has educational materials for learning to work with py_grama.
Support and Contributing
If you are seeking support or want to contribute, please see Contributing.
Cite As
If you find Grama useful in your work, we'd appreciate that you cite it as:
del Rosario, Z., (2020). Grama: A Grammar of Model Analysis. Journal of Open Source Software, 5(51), 2462, https://doi.org/10.21105/joss.02462
Bibtex code:
@article{del Rosario2020,
doi = {10.21105/joss.02462},
url = {https://doi.org/10.21105/joss.02462},
year = {2020},
publisher = {The Open Journal},
volume = {5},
number = {51},
pages = {2462},
author = {Zachary del Rosario},
title = {Grama: A Grammar of Model Analysis},
journal = {Journal of Open Source Software}
}
Owner
- Name: Zachary del Rosario
- Login: zdelrosario
- Kind: user
- Location: Massachusetts
- Company: Olin College
- Website: www.zdelrosario.com
- Repositories: 52
- Profile: https://github.com/zdelrosario
JOSS Publication
Grama: A Grammar of Model Analysis
Authors
Visiting Professor, Olin College of Engineering
Editor
Matthew Sottile
Tags
Modeling Uncertainty quantification Functional programming Pedagogy Communication ReproducibilityGitHub Events
Total
- Push event: 1
Last Year
- Push event: 1
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| zdelrosario | z****o@o****m | 947 |
| mstites | m****e@m****m | 63 |
| Riya-1 | 2****a@g****m | 30 |
| Oscar De La Garza | o****a@o****u | 25 |
| Oscar De La Garza | o****a@o****u | 24 |
| MayaSimone | m****n@m****m | 5 |
| Rick Fenrich | r****h | 2 |
| QingmuDeng | q****g@o****u | 2 |
| Ellen Sun | s****n@g****m | 2 |
| Rick Fenrich | r****h@s****u | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 30
- Total pull requests: 88
- Average time to close issues: 4 months
- Average time to close pull requests: 2 days
- Total issue authors: 4
- Total pull request authors: 6
- Average comments per issue: 0.63
- Average comments per pull request: 0.49
- Merged pull requests: 85
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: 5 minutes
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- zdelrosario (20)
- mstites (6)
- OscarDeGar (3)
- ckborg (1)
Pull Request Authors
- zdelrosario (78)
- OscarDeGar (5)
- syclops (2)
- eys123 (2)
- mstites (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 17 last-month
- Total dependent packages: 0
- Total dependent repositories: 2
- Total versions: 22
- Total maintainers: 1
pypi.org: py-grama
A grammar of model analysis
- Homepage: https://github.com/zdelrosario/py_grama
- Documentation: https://py-grama.readthedocs.io/
- License: MIT
-
Latest release: 0.3.7
published about 2 years ago
Rankings
Maintainers (1)
Dependencies
- recommonmark *
- sphinx-markdown-tables *
- matplotlib *
- networkx *
- numpy >=1.15
- pandas *
- plotnine >=0.8.0
- scipy *
- toolz *
- matplotlib *
- networkx *
- numpy >=1.15
- pandas *
- plotnine >=0.8.0
- scipy *
- toolz *
- actions/checkout v3 composite
- actions/setup-python v3 composite
- codecov/codecov-action v3 composite