Metadata-Version: 2.1
Name: esparto
Version: 2.0.0
Summary: Simple HTML page and PDF document generator for Python.
Home-page: https://domvwt.github.io/esparto
License: MIT
Author: Dominic Thorn
Author-email: dominic.thorn@gmail.com
Requires-Python: >=3.6.1,<4.0
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Provides-Extra: extras
Requires-Dist: Pillow (>=7.0.0,<9)
Requires-Dist: beautifulsoup4 (>=4.7); extra == "extras"
Requires-Dist: dataclasses; python_version < "3.7"
Requires-Dist: jinja2 (>=2.10.1,<4.0.0)
Requires-Dist: markdown (>=3.1,<4.0)
Requires-Dist: pyyaml (>=5.1)
Requires-Dist: weasyprint (>=51,<53); extra == "extras"
Project-URL: Repository, https://github.com/domvwt/esparto
Description-Content-Type: text/markdown

esparto
=======

[![image](https://img.shields.io/pypi/v/esparto.svg)](https://pypi.python.org/pypi/esparto)
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![PyPI - Downloads](https://img.shields.io/pypi/dm/esparto)


## Introduction
**esparto** is a Python package for building shareable reports with content
from popular data analysis libraries.
With just a few lines of code, **esparto** turns DataFrames, plots, and
Markdown into an interactive webpage or PDF document.

Documents produced by **esparto** are completely portable - no backend server
is required - and entirely customisable using CSS and Jinja templating.
All content dependencies are declared inline or loaded via a CDN, meaning your
reports can be shared by email, hosted on a standard http server, or made
available as static pages as-is.


## Basic Usage
```python
import esparto as es
page = es.Page(title="My Report")
page["Data Analysis"] = (pandas_dataframe, plotly_figure)
page.save_html("my-report.html")
```


## Main Features
* Automatic and adaptive layout
* Customisable with CSS or Jinja
* Jupyter Notebook friendly
* Output as HTML or PDF
* Built-in adaptors for:
    * Markdown
    * Images
    * [Pandas DataFrames][Pandas]
    * [Matplotlib][Matplotlib]
    * [Bokeh][Bokeh]
    * [Plotly][Plotly]


## Installation
**esparto** is available from PyPI:
```bash
pip install esparto
```

If PDF output is required, `weasyprint` must also be installed:
```bash
pip install weasyprint
```


## Dependencies
*   [python](https://python.org/) >= 3.6
*   [jinja2](https://palletsprojects.com/p/jinja/)
*   [markdown](https://python-markdown.github.io/)
*   [Pillow](https://python-pillow.org/)
*   [PyYAML](https://pyyaml.org/)
*   [weasyprint](https://weasyprint.org/) _(optional - required for PDF output)_


## License
[MIT](https://opensource.org/licenses/MIT)


## Documentation
Full documentation and examples are available at [domvwt.github.io/esparto/](https://domvwt.github.io/esparto/).

## Contributions, Issues, and Requests
All feedback and contributions are welcome - please raise an issue or pull request on [GitHub][GitHub].


## Examples
Iris Report - [Webpage](https://domvwt.github.io/esparto/examples/iris-report.html) |
[PDF](https://domvwt.github.io/esparto/examples/iris-report.pdf)

Bokeh and Plotly - [Webpage](https://domvwt.github.io/esparto/examples/interactive-plots.html) |
[PDF](https://domvwt.github.io/esparto/examples/interactive-plots.pdf)

<br>

<p width=100%>
<img width=80%  src="https://github.com/domvwt/esparto/blob/fdc0e787c0bc013d16667773e82e21c647b71d91/docs/images/iris-report-compressed.png?raw=true" alt="example page" style="border-radius:0.5%;">
</p>

<!-- Links -->
[Bootstrap]: https://getbootstrap.com/docs/4.6/getting-started/introduction/
[Pandas]: https://pandas.pydata.org/
[Matplotlib]: https://matplotlib.org/
[Bokeh]: https://docs.bokeh.org/en/latest/index.html
[Plotly]: https://plotly.com/
[GitHub]: https://github.com/domvwt/esparto

