pysuricata 0.0.4

A lightweight EDA tool inspired by the curious nature of suricates. Built just for fun 🔬.

pysuricata

pysuricata is a lightweight Python library for exploratory data analysis (EDA) that supports multiple data formats—Pandas, Dask, and Polars DataFrames. It generates self-contained HTML reports featuring summary statistics, missing values, and correlation matrices with a clean, modern design.

Installation

Install pysuricata directly from PyPI:

pip install pysuricata

Quick Example

The following example demonstrates how to generate an EDA report using the Iris dataset with Pandas:

import pandas as pd
from pysuricata import generate_report
from IPython.display import HTML

# Load the Iris dataset directly using Pandas
iris_url = "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv"
iris_df = pd.read_csv(iris_url)

# Generate the HTML EDA report and save it to a file
html_report = generate_report(iris_df, output_file="iris_report.html")

# Display the report in a Jupyter Notebook
HTML(html_report)