Metadata-Version: 2.1
Name: esparto
Version: 0.2.3
Summary: Simple HTML 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,<4.0.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Provides-Extra: extras
Provides-Extra: test
Requires-Dist: Pillow (<9.0.0)
Requires-Dist: Pillow (>=7.0.0)
Requires-Dist: beautifulsoup4 (>=4.9.3,<5.0.0); extra == "extras"
Requires-Dist: black (>=20.8b1,<21.0); extra == "test"
Requires-Dist: coverage (>=5.5,<6.0); extra == "test"
Requires-Dist: flake8 (>=3.9.0,<4.0.0); extra == "test"
Requires-Dist: html5lib (>=1.1,<2.0); extra == "test"
Requires-Dist: jinja2 (>=2.10.1,<3.0.0)
Requires-Dist: markdown (>=3.1,<4.0)
Requires-Dist: mypy (>=0.812,<0.813); extra == "test"
Requires-Dist: pytest (>=6.2.2,<7.0.0); extra == "test"
Requires-Dist: weasyprint (>=52.5,<53.0); 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)
[![Build Status](https://travis-ci.com/domvwt/esparto.svg?branch=main)](https://travis-ci.com/domvwt/esparto)
[![codecov](https://codecov.io/gh/domvwt/esparto/branch/main/graph/badge.svg?token=35J8NZCUYC)](https://codecov.io/gh/domvwt/esparto)
[![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=domvwt_esparto&metric=alert_status)](https://sonarcloud.io/dashboard?id=domvwt_esparto)

Esparto is a simple HTML document generator for Python. Its primary use is for generating shareable single page reports
with content from popular analytics and data science libraries.

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

### Features
* Lightweight API
* No CSS or HTML required
* Device responsive display
* Self contained / inline dependencies
* Jupyter Notebook support
* Printer and PDF friendly formatting
* MIT License

### Supported Content
* Markdown text
* Images
* Matplotlib figures
* Pandas DataFrames
* Bokeh objects
* Plotly figures

