esparto is a Python library for building data driven reports with content from popular analytics packages.

Main Features

Create beautiful analytical reports using idiomatic Python
Generate content from:
Develop interactively with Jupyter Notebooks
Share documents as a self-contained webpage or PDF
Customise with CSS and Jinja
Responsive Bootstrap layout

Basic Usage

import esparto as es

# Do some analysis
pandas_df = ...
plot_fig = ...
markdown_str = ...

# Create a page
page = es.Page(title="My Report")

# Add content
page["Data Analysis"]["Plot"] = plot_fig
page["Data Analysis"]["Data"] = pandas_df
page["Data Analysis"]["Notes"] = markdown_str

# Save to HTML or PDF
page.save_html("my-report.html")
page.save_pdf("my-report.pdf")

Installation

esparto is available from PyPI and Conda:

pip install esparto

conda install esparto -c conda-forge

poetry add esparto

Dependencies

Optional

weasyprint (for PDF output)

License

MIT

Documentation

User guides, documentation, and examples are available on the project home page.

Contributions, Issues, and Requests

Feedback and contributions are welcome - please raise an issue or pull request on GitHub.

Examples

Iris Report - Webpage | PDF | Notebook

example page

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Esparto