semvec/pypi-packages huggingface dataset:
sigal 2.6.1
Simple static gallery generator
Requires Python: >=3.11
Keywords: gallery, static, generator, image, video, galleria

Sigal - Simple Static Gallery Generator
=======================================

.. image:: https://github.com/saimn/sigal/workflows/Run%20unit%20tests/badge.svg
   :target: https://github.com/saimn/sigal/actions
   :alt: CI Status

.. image:: https://codecov.io/gh/saimn/sigal/branch/main/graph/badge.svg
   :target: https://codecov.io/gh/saimn/sigal
   :alt: codecov.io

Sigal is yet another simple static gallery generator. It's written in Python
and it allows to build a static gallery of images with the following features:

* Process directories recursively.
* Generate HTML pages using Jinja2_ templates.
* Relative links for a portable output.
* Support themes, videos, EXIF tags, zip download.
* Parallel processing.
* MIT licensed.

The idea behind Sigal is to ease the use of the javascript libraries like
galleria_. These libraries do a great job to display the images, Sigal does
what is missing: resize images, create thumbnails, generate HTML pages.

Sigal requires Python 3.11+.

Links
-----

* Latest documentation on the website_
* Source, issues and pull requests on GitHub_
* Releases on PyPI_

Themes & Demo
-------------

Sigal comes with three themes, based on the colorbox_, galleria_ and photoswipe_
Javascript libraries:

- `colorbox demo`_
- `galleria demo`_
- `photoswipe demo`_

.. _website: https://sigal.readthedocs.io/en/latest/
.. _GitHub: https://github.com/saimn/sigal/
.. _PyPI: https://pypi.org/project/sigal/
.. _galleria: https://github.com/GalleriaJS/galleria
.. _colorbox: http://www.jacklmoore.com/colorbox
.. _photoswipe: http://photoswipe.com
.. _galleria demo: http://saimon.org/sigal-demo/galleria/
.. _colorbox demo: http://saimon.org/sigal-demo/colorbox/
.. _photoswipe demo: http://saimon.org/sigal-demo/photoswipe/
.. _Jinja2: https://palletsprojects.com/p/jinja/
crunchflow 2.1.3
A Python toolbox for working with the CrunchFlow reactive transport code
Requires Python: <4.0,>=3.10

# crunchflow

The Python crunchflow package is a toolbox for working with the CrunchFlow reactive transport model. It can be particularly useful for analyzing and plotting CrunchFlow model output.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) or 
[conda](https://anaconda.org/anaconda/conda) to install `crunchflow`.

```bash
pip install crunchflow
```
or
```bash
conda install -c conda-forge crunchflow
```

## Usage
Full documentation can be found [here](https://readthedocs.org/projects/python-crunchflow/)

## Citation
If you use the Python `crunchflow` package in published work, please cite the paper for which it 
was originally developed:

Perzan, Z., Babey, T., Caers, J., Bargar, J.R. and Maher, K., 2021, Local and global sensitivity analysis of a reactive transport model simulating floodplain redox cycling, *Water Resources Research*, doi: [10.1029/2021WR029723](https://dx.doi.org/10.1029/2021WR029723)

From version 2.0.5 on, each release of this package is archived in Zenodo and can be cited directly, in addition to citing the paper above. For example, to cite version 2.0.5:

Perzan, Z., 2025, zperzan/python-crunchflow: v2.0.5 (v2.0.5), *Zenodo*, doi: [10.5281/zenodo.14636010](https://dx.doi.org/10.5281/zenodo.14636010)

## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

## License
[GPL](https://choosealicense.com/licenses/gpl-3.0/)