pyteck
Automatically test chemical kinetic models using experimental data
Science Score: 28.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
-
○.zenodo.json file
-
○DOI references
-
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (16.8%) to scientific vocabulary
Repository
Automatically test chemical kinetic models using experimental data
Basic Info
- Host: GitHub
- Owner: pr-omethe-us
- License: mit
- Language: Python
- Default Branch: master
- Homepage: https://pr-omethe-us.github.io/PyTeCK/
- Size: 809 KB
Statistics
- Stars: 21
- Watchers: 6
- Forks: 11
- Open Issues: 17
- Releases: 0
Metadata Files
README.md
PyTeCK
This software package automatically evaluates the performance of a chemical kinetic model using experimental data given in a specified YAML format.
Installation
The easiest way to install PyTeCK is via conda. You can install to your environment with
> conda install -c pr-omethe-us pyteck
which will also handle all the dependencies. Alternatively, you can install from PyPI with
> pip install pyteck
If you prefer to install manually, or want a particular version outside of the
tagged releases distributed to those services, you can download the source files
from this repository, navigate to the directory, and install using either setuptools
> python setup.py install
or pip
> pip install .
pip is recommended due to its easy uninstall option (pip uninstall pyteck).
Usage
Once installed, the full list of options can be seen using pyteck -h or pyteck --help.
Code of Conduct
In order to have a more open and welcoming community, PyTeCK adheres to a code of conduct adapted from the Contributor Covenant code of conduct.
Please adhere to this code of conduct in any interactions you have in the PyTeCK community. It is strictly enforced on all official PyTeCK repositories, websites, and resources. If you encounter someone violating these terms, please let @kyleniemeyer know via email at kyle.niemeyer@gmail.com and we will address it as soon as possible.
Citation
If you use this package as part of a scholarly publication, please refer to CITATION.md for instructions on how to cite this resource directly.
License
PyTeCK is released under the MIT license; see LICENSE for details.
Owner
- Name: pr.omethe.us
- Login: pr-omethe-us
- Kind: organization
- Website: https://pr.omethe.us
- Repositories: 9
- Profile: https://github.com/pr-omethe-us
Citation (CITATION.md)
# Citation of PyTeCK
[](https://zenodo.org/badge/latestdoi/53542212)
To cite PyTeCK in a scholarly article, please use
> K. E. Niemeyer. (2017) PyTeCK v0.2.1 [software]. Zenodo. https://doi.org/10.5281/zenodo.546270
A BibTeX entry for LaTeX users is
```TeX
@misc{PyTeCK,
author = {Kyle E Niemeyer},
year = 2017,
title = {{PyTeCK} v0.2.1},
doi = {10.5281/zenodo.546270},
url = {https://github.com/kyleniemeyer/PyTeCK},
}
```
In both cases, please update the entry with the version used. The DOI for the latest version can be found in the badge at the top.
If you would like to cite a specific, older version, the DOIs for each release are:
* v0.2.1: [10.5281/zenodo.546270](https://doi.org/10.5281/zenodo.546270)
GitHub Events
Total
- Watch event: 2
- Fork event: 1
Last Year
- Watch event: 2
- Fork event: 1
Issues and Pull Requests
Last synced: 12 months ago
All Time
- Total issues: 14
- Total pull requests: 9
- Average time to close issues: 2 months
- Average time to close pull requests: 2 days
- Total issue authors: 5
- Total pull request authors: 4
- Average comments per issue: 0.79
- Average comments per pull request: 2.44
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- kyleniemeyer (7)
- morganmayer (3)
- rwest (2)
- vayner-s (1)
- nateharms (1)
Pull Request Authors
- vayner-s (3)
- kyleniemeyer (3)
- rwest (2)
- skrsna (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- cantera >=2.3.0
- numpy >=1.13.0,<2.0
- pint >=0.7.2,<0.9
- pyked >=0.4.1
- pyyaml >=3.12,<4.0
- scipy >=1.0.0
- tables *