esparto

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

Release files for esparto 4.3.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for esparto 4.3.1
File	Size	Uploaded
esparto-4.3.1.tar.gz	49.0 kB	May 29, 2023	Details

Built distribution (wheel)

Table of built distributions (wheels) for esparto 4.3.1
File	Interpreter	ABI	Platform	Reset
esparto-4.3.1-py3-none-any.whl 52.3 kB May 29, 2023	Python 3	none	any	Details

Total release size: 101.3 kB

Release files / esparto-4.3.1.tar.gz

Download URL	esparto-4.3.1.tar.gz
Size	49.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`ee5fff73319c75fb0ecaac2e2af14a137b93ab1a1d9d9613b8615e339b63f038`
BLAKE2b-256 checksum How to use checksums	`da9562a3b25bfa8079977d457fb6f5c67ab2d7d47fb78e698f6cdf21e0fc6b61`
Upload date	May 29, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.10.6`

Release files / esparto-4.3.1-py3-none-any.whl

Download URL	esparto-4.3.1-py3-none-any.whl
Size	52.3 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`9b886ad092935717e08e222e9873e1971f06b1fe4943c54e1925eb77bf897309`
BLAKE2b-256 checksum How to use checksums	`3e5deb4570b5489c4767ea59c3a4a7c775f1fa2f0c4176fa35674298534985ae`
Upload date	May 29, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.1 CPython/3.10.6`