Edvart

[!WARNING]

This project is no longer maintained.

We recommend using agentic coding tools to generate one-time EDA reports.

Edvart is an open-source Python library designed to simplify and streamline your exploratory data analysis (EDA) process.

Key Features

• One-line Reports: Generate a comprehensive set of pandas DataFrame

visualizations using a single Python statement. Edvart supports: - Data overview, - Univariate analysis, - Bivariate analysis, - Multivariate analysis, - Grouped analysis, - Time series analysis.

• Customizable Reports: Produce, iterate, and style detailed reports

in Jupyter notebooks and HTML formats.

• Flexible API: From high-level simplicity in a single line of code

to detailed control, choose the API level that fits your needs.

• Interactive Visualizations: Many of the visualizations are interactive

and can be used to explore the data in detail.

One-line Report

Installation

Edvart is available on PyPI and can be installed using pip:

pip install edvart

Usage

See the notebook examples/report-example.ipynb for an example report on a tabular dataset or examples/time-series-report-example.ipynb for an example report on a time-series dataset.

See the Usage section of the documentation for more information.

Creating a Default Report

import edvart
Load a dataset to a pandas DataFrame
dataset = edvart.exampledatasets.datasettitanic()
Create a default report
report = edvart.DefaultReport(dataset)
Show the report in the current Jupyter notebook
report.show()
Export the report to an HTML file
report.export_html("report.html")
Export the code generating the report to a Jupyter notebook
report.export_notebook("report.ipynb")

User Documentation

The user documentation is available at https://datamole-ai.github.io/edvart/.

License

Edvart is licensed under the MIT license. See the LICENSE file for more details.

Contact

Edvart has a Gitter room for development-related and general discussions.

How to Contribute

See CONTRIBUTING.md.