semvec/pypi-packages huggingface dataset:
vizad 0.1
A simple visualization library for univariate and bivariate analysis
Requires Python: >=3.7

This is a simple package to help you do univariate and bivariate analysis on numerc and categorical features. The visuals are generated using matplotlib and seaborn. The package is still in development and more features will be added soon. The usp is that in a single figure with subplots all the visuals are presented in a compact manner with a simple function call and passing the dataframe and a list of numeric or categorical features.
wrighter 0.1.2
eb scraping/browser automation framework built on Playwright
Requires Python: >=3.10
Keywords: wrighter,plugins,wrighter plugins,playwright plugins,web scraping,web automation,browser automation plugins

# Wrighter

[![PyPI version](https://badge.fury.io/py/wrighter.svg)](https://badge.fury.io/py/wrighter)
![Supported versions](https://img.shields.io/badge/python-3.10+-blue.svg)
[![Downloads](https://static.pepy.tech/badge/wrighter)](https://pepy.tech/project/wrighter)
[![license](https://img.shields.io/github/license/zigai/wrighter.svg)](https://github.com/zigai/wrighter/blob/main/LICENSE)

Web scraping/browser automation framework built on [Playwright](https://playwright.dev/python/).

# Features
- sync and async API
- plugin system [(see official plugins)](https://github.com/zigai/wrighter-plugins)
- configuration validation based on pydantic

# Installation
#### From PyPi
```
pip install wrighter
```
#### From source
```
pip install git+https://github.com/zigai/wrighter.git
```

# License
[MIT License](https://github.com/zigai/wrighter/blob/master/LICENSE)