https://github.com/risenw/datasist

A Python library for easy data analysis, visualization, exploration and modeling
https://github.com/risenw/datasist

data-analysis data-science data-visualization feature-engineering machine-learning python-3

Last synced: 29 days ago
JSON representation

A Python library for easy data analysis, visualization, exploration and modeling

• Host: GitHub
• URL: https://github.com/risenw/datasist
• Owner: risenW
• License: mit
• Created: 2019-07-10T18:19:47.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T10:55:00.000Z (over 2 years ago)
• Last Synced: 2025-04-05T11:07:19.368Z (29 days ago)
• Topics: data-analysis, data-science, data-visualization, feature-engineering, machine-learning, python-3
• Language: Jupyter Notebook
• Homepage: https://risingodegua.gitbook.io/datasist-doc/
• Size: 7.26 MB
• Stars: 157
• Watchers: 11
• Forks: 83
• Open Issues: 16
• Metadata Files:
  • Readme: README.md
  • Contributing: contributing.md

Awesome Lists containing this project

README

        
# Getting Started

![datasist](https://risenw.github.io/datasist/datasist.png)

## datasist: Python library for easy data analysis, visualization, exploration and modeling

| Latest Release |  [![latest release](https://img.shields.io/badge/pip-v1.5.2-blue.svg)](https://pypi.org/project/datasist/) |

| :--- | :--- |

| Release Status |  [![status](https://img.shields.io/badge/status-stable-brightgreen.svg)](./) |

| License |  [![license](https://img.shields.io/badge/license-MIT-orange.svg)](./) |

| Build Status |  [![build status](https://travis-ci.org/risenW/datasist.svg?branch=master)](./) |

| Total Downloads | [![Downloads](https://pepy.tech/badge/datasist)](https://pepy.tech/project/datasist) |

| Monthly Downloads | [![Downloads](https://pepy.tech/badge/datasist/month)](https://pepy.tech/project/datasist/month) |

| Source Rank | ![Libraries.io SourceRank](https://img.shields.io/librariesio/sourcerank/pypi/datasist)

| Twitter | ![Twitter URL](https://img.shields.io/twitter/url?style=social&url=https%3A%2F%2Ftwitter.com%2Fdatasistlibrary) |

### What is it?

**datasist** is a python package providing fast, quick, and an abstracted interface to popular and frequently used functions or techniques relating to data analysis, visualization, data exploration, feature engineering, Computer, NLP, Deep Learning, modeling, model deployment etc.

### Install

```bash

pip install datasist

```

### Installation from source (Developers)

To install datasist from source you need python 3.6> in addition to the normal dependencies above.

Run the following command in a terminal/command prompt

```bash

git clone https://github.com/risenW/datasist.git

cd datasist

python setup.py install

```

Alternatively, you can use install with `pip` after cloning, if you want all the dependencies pulled in automatically \(the `-e` option is for installing it in \[development mode\]:

```bash

git clone https://github.com/risenW/datasist.git

cd datasist

pip install -e .

```

### Documentation

Full documentaion can be found [here](https://risingodegua.gitbook.io/datasist-doc/)

### Contributing to datasist

All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.

If you would like to contribute to datasist, find a detailed contribution guide [**here**](https://risingodegua.gitbook.io/datasist-doc/contributing).

### Using Datasist

[Quick start guide](https://risingodegua.gitbook.io/datasist-doc/quickstart)

[Tutorial guide](https://risenw.github.io/datasist/classification_example.html)

#### Youtube Videos

Introduction to using Datasist, presented at NeuRips Meetup - PH. [Click Here](https://youtu.be/WYxSz6WBn-M)