wiz-craft

v1.1.1

A CLI-based dataset preprocessing tool for machine learning tasks. Features include data exploration, null value handling, one-hot encoding, and feature scaling, and download the modified dataset effortlessly. For more information about how to use this package see README

Latest version published 1 year ago

License: MIT

PyPI

GitHub

Package Health Score

47 / 100

security
Security review needed
popularity
Small
maintenance
Inactive
community
Sustainable

Popularity

Small

GitHub Stars: 17
Forks: 5
Contributors: 4

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package wiz-craft, we found that it has been starred 17 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Oct 18, 2023
Direct Vulnerabilities: 0
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0
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0
M
0
L
Indirect Vulnerabilities: 0
C
0
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0
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0
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License Risk: 0
H
0
M
0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 1
Open PR: 0
Last Release: 1 year ago
Last Commit: 1 year ago

Further analysis of the maintenance status of wiz-craft based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for wiz-craft is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 4
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: ==3.*

Age: 1 year
Latest Release: 1 year ago
Dependencies: 5 Direct / 12 Total
Versions: 6
Maintainers: 1
Wheels: OS Independent

Readme

wizcraft-banner

PyPI - Version

WizCraft - CLI-Based Dataset Preprocessing Tool

WizCraft is a cutting-edge Command Line Interface (CLI) tool developed to simplify the process of dataset preprocessing for machine learning tasks. It aims to provide a seamless and efficient experience for data scientists of all levels, facilitating the preparation of data for various machine-learning applications.

Try the tool online here

Features

Load and preprocess your dataset effortlessly through a Command Line Interface (CLI).
View dataset statistics, null value counts, and perform data imputation.
Encode categorical variables using one-hot encoding.
Normalize and standardize numerical features for better model performance.
Download the preprocessed dataset with your desired modifications.

Getting Started

Installation

Run the pip command:
```
pip install wiz-craft
```

To use the module, use the commands:

from wizcraft.preprocess import Preprocess
wiz_obj = Preprocess()
wiz_obj.start()

Follow the on-screen prompts to load your dataset, select target variables, and perform preprocessing tasks.

wizcraft-cli_welcome

Features Available

Data Description

data_description_preview

View statistics and properties of numeric columns.
Explore unique values and statistics of categorical columns.
Display a snapshot of the dataset.

Handle Null Values

null_data_preview

Show NULL value counts in each column.
Remove specific columns or fill NULL values with mean, median, or mode, or even using KNN technique.

Encode Categorical Values

one_hot_encode_preview

Identify and list categorical columns.
Perform one-hot encoding on categorical columns.

Feature Scaling

scaling_preview

Normalize the data in a column using Min-Max scaling or Standard Scaler.

Save Preprocessed Dataset

save_preview

Download the modified dataset with applied preprocessing steps.

wiz-craft dependencies

numpy pandas pandoc scikit-learn scipy

FAQs

What is wiz-craft?

A CLI-based dataset preprocessing tool for machine learning tasks. Features include data exploration, null value handli... Visit Snyk Advisor to see a full health score report for wiz-craft, including popularity, security, maintenance & community analysis.

Is wiz-craft popular?

The python package wiz-craft receives a total of 1,253 weekly downloads. As such, wiz-craft popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is wiz-craft well maintained?

We found indications that wiz-craft is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is wiz-craft safe to use?

While scanning the latest version of wiz-craft, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 29 October-2024, at 19:44 (UTC).

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wiz-craft

A CLI-based dataset preprocessing tool for machine learning tasks. Features include data exploration, null value handling, one-hot encoding, and feature scaling, and download the modified dataset effortlessly. For more information about how to use this package see README

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Readme

WizCraft - CLI-Based Dataset Preprocessing Tool

Table of Contents

Features

Getting Started

Installation

Features Available

Data Description

Handle Null Values

Encode Categorical Values

Feature Scaling

Save Preprocessed Dataset

wiz-craft dependencies

FAQs

What is wiz-craft?

Is wiz-craft popular?

Is wiz-craft well maintained?

Is wiz-craft safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

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Snyk Vulnerability Scanner

Readme

WizCraft - CLI-Based Dataset Preprocessing Tool

Table of Contents

Features

Getting Started

Installation

Features Available

Data Description

Handle Null Values

Encode Categorical Values

Feature Scaling

Save Preprocessed Dataset

wiz-craft dependencies

FAQs

What is wiz-craft?

Is wiz-craft popular?

Is wiz-craft well maintained?

Is wiz-craft safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues