Metadata-Version: 2.1
Name: vizpool
Version: 0.0.2
Summary: A highlevel python API with low-code support for Data Visualization
Home-page: https://github.com/Hassi34/vizpool
Author: Hassi34
Author-email: hasnainmehmood3435@gmail.com
Project-URL: Bug Tracker, https://github.com/Hassi34/vizpool/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: plotly (<=5.8.0)


# 🔥📊📣 VizPool 📣📊🔥

VizPool is a high level python API for data visualization.It provides low-code support for static and interactive visuals.

## Overview
### 🔗 Project Link
Check out the Pypi Package [here](https://pypi.org/project/vizpool/)
### Installation
Install via Pip!
```bash
pip install vizpool
```

### Usage
import the components and use it like any other python package
*Static Visuals
```bash
from vizpool.utils import static
```
*Interactive Visuals
```bash
from vizpool.utils import interactive
```
# Contributing
Yes, Please!  I believe that there is alot of oportunity to make even the most complex visuals available for data comunity, so lets make it more efficient, let go with low-code!!

Follow the instructions on the `vizpoolQuickStart` [example file](https://github.com/Hassi34/vizpool/blob/main/vizpoolQuickStart.ipynb) to get up and running, or follow along below!

### Quickstart

* Ensure you have [Python 3.7+](https://www.python.org/downloads/)installed.

* Create a new Python conda environment for the vizpool:

```
$ cd vizpool
$ conda create -n venv  # create venv
$ conda activate venv  # activate venv
$ pip install vizpool # install vizpool
```

* Create a new Python virtual environment with pip for the vizpool:
```
$ cd vizpool
$ python3 -m venv venv  # create venv
$ . venv/bin/activate   # activate venv
$ pip install streamlit # install vizpool
```

