| Name | pkynetics JSON |
| Version |
0.4.2
JSON |
| download |
| home_page | None |
| Summary | A comprehensive library for thermal analysis kinetic methods |
| upload_time | 2025-07-17 23:23:51 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | MIT License
Copyright (c) 2024 PPeitsch
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. |
| keywords |
dilatometry
dsc
kinetics
thermal-analysis
thermogravimetry
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
numpy
matplotlib
setuptools
pandas
scipy
statsmodels
scikit-learn
seaborn
pytest
pylint
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Pkynetics
[](https://badge.fury.io/py/pkynetics)
[](https://pypi.org/project/pkynetics/)
[](https://pkynetics.readthedocs.io/en/latest/?badge=latest)
[](https://github.com/PPeitsch/pkynetics/actions/workflows/test-and-publish.yaml)
[](https://codecov.io/gh/PPeitsch/pkynetics)
[](https://github.com/PPeitsch/pkynetics/blob/main/LICENSE)
[](.github/CODE_OF_CONDUCT.md)
A Python library for thermal analysis kinetic methods, providing tools for data preprocessing, kinetic analysis, and result visualization.
## Features
### Data Import
- Support for thermal analysis instruments:
- Flexible custom importer for non-standard formats
- Automatic manufacturer detection
- Comprehensive data validation
### Analysis Methods
- Model-fitting methods:
- Johnson-Mehl-Avrami-Kolmogorov (JMAK)
- Kissinger
- Coats-Redfern
- Freeman-Carroll
- Horowitz-Metzger
- Model-Free methods:
- Friedman method
- Kissinger-Akahira-Sunose (KAS)
- Ozawa-Flynn-Wall (OFW)
- Dilatometry analysis
- DSC analysis
- Data preprocessing capabilities
- Error handling and validation
### Visualization
- Comprehensive plotting functions for:
- Kinetic analysis results
- Dilatometry data
- Transformation analysis
- Custom plot styling options
- Interactive visualization capabilities
## Installation
Pkynetics requires Python 3.9 or later. Install using pip:
```bash
pip install pkynetics
```
For development installation:
```bash
git clone https://github.com/PPeitsch/pkynetics.git
cd pkynetics
pip install -e .[dev]
```
For detailed installation instructions and requirements, see our [Installation Guide](https://pkynetics.readthedocs.io/en/latest/installation.html).
## Documentation
Complete documentation is available at [pkynetics.readthedocs.io](https://pkynetics.readthedocs.io/), including:
- Detailed API reference
- Usage examples
- Method descriptions
- Best practices
## Contributing
We welcome contributions! Please read our:
- [Contributing Guidelines](.github/CONTRIBUTING.md)
- [Code of Conduct](.github/CODE_OF_CONDUCT.md)
## Security
For vulnerability reports, please review our [Security Policy](.github/SECURITY.md).
## Change Log
See [CHANGELOG.md](CHANGELOG.md) for a list of changes and version updates.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Citing Pkynetics
If you use Pkynetics in your research, please cite it as:
```bibtex
@software{pkynetics2025,
author = {Pablo Peitsch},
title = {Pkynetics: A Python Library for Thermal Analysis Kinetic Methods},
year = {2025},
publisher = {GitHub},
url = {https://github.com/PPeitsch/pkynetics}
}
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"description": "# Pkynetics\n\n[](https://badge.fury.io/py/pkynetics)\n[](https://pypi.org/project/pkynetics/)\n[](https://pkynetics.readthedocs.io/en/latest/?badge=latest)\n[](https://github.com/PPeitsch/pkynetics/actions/workflows/test-and-publish.yaml)\n[](https://codecov.io/gh/PPeitsch/pkynetics)\n[](https://github.com/PPeitsch/pkynetics/blob/main/LICENSE)\n[](.github/CODE_OF_CONDUCT.md)\n\nA Python library for thermal analysis kinetic methods, providing tools for data preprocessing, kinetic analysis, and result visualization.\n\n## Features\n\n### Data Import\n- Support for thermal analysis instruments:\n- Flexible custom importer for non-standard formats\n- Automatic manufacturer detection\n- Comprehensive data validation\n\n### Analysis Methods\n- Model-fitting methods:\n - Johnson-Mehl-Avrami-Kolmogorov (JMAK)\n - Kissinger\n - Coats-Redfern\n - Freeman-Carroll\n - Horowitz-Metzger\n- Model-Free methods:\n - Friedman method\n - Kissinger-Akahira-Sunose (KAS)\n - Ozawa-Flynn-Wall (OFW)\n- Dilatometry analysis\n- DSC analysis\n- Data preprocessing capabilities\n- Error handling and validation\n\n### Visualization\n- Comprehensive plotting functions for:\n - Kinetic analysis results\n - Dilatometry data\n - Transformation analysis\n - Custom plot styling options\n- Interactive visualization capabilities\n\n## Installation\n\nPkynetics requires Python 3.9 or later. Install using pip:\n\n```bash\npip install pkynetics\n```\n\nFor development installation:\n\n```bash\ngit clone https://github.com/PPeitsch/pkynetics.git\ncd pkynetics\npip install -e .[dev]\n```\n\nFor detailed installation instructions and requirements, see our [Installation Guide](https://pkynetics.readthedocs.io/en/latest/installation.html).\n\n## Documentation\n\nComplete documentation is available at [pkynetics.readthedocs.io](https://pkynetics.readthedocs.io/), including:\n- Detailed API reference\n- Usage examples\n- Method descriptions\n- Best practices\n\n## Contributing\n\nWe welcome contributions! Please read our:\n- [Contributing Guidelines](.github/CONTRIBUTING.md)\n- [Code of Conduct](.github/CODE_OF_CONDUCT.md)\n\n## Security\n\nFor vulnerability reports, please review our [Security Policy](.github/SECURITY.md).\n\n## Change Log\n\nSee [CHANGELOG.md](CHANGELOG.md) for a list of changes and version updates.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Citing Pkynetics\n\nIf you use Pkynetics in your research, please cite it as:\n\n```bibtex\n@software{pkynetics2025,\n author = {Pablo Peitsch},\n title = {Pkynetics: A Python Library for Thermal Analysis Kinetic Methods},\n year = {2025},\n publisher = {GitHub},\n url = {https://github.com/PPeitsch/pkynetics}\n}\n",
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