prepup-linux 0.2.2

Prepup is a free, open-source package for data preprocessing in terminal

💻 Prepup: Interactive Data Preprocessing Toolkit

🚀 Quick Overview

Prepup is a powerful, user-friendly data preprocessing tool designed to simplify and streamline your data analysis workflow directly from the terminal. Whether you're a data scientist, analyst, or researcher, Prepup provides an intuitive interface for exploring, cleaning, and preparing your datasets.

✨ Features

Interactive Mode

• 📊 Load datasets from various formats (CSV, Excel, Parquet)
• 🔍 Comprehensive data inspection
• 📈 Advanced data exploration
• 🧹 Missing value handling
• 📊 Feature visualization
• 🤖 Automatic Machine Learning (AutoML) model selection

Key Functionalities

• Data Loading
• Feature Inspection
• Correlation Analysis
• Distribution Checking
• Outlier Detection
• Missing Value Imputation
• Feature Standardization
• Automatic Model Training

🛠 Installation

Using pip

pip install prepup-linux

From Source

git clone https://github.com/sudhanshumukherjeexx/prepup-linux.git
cd prepup-linux
pip install .

💻 Usage

Interactive Mode

prepup

Loading a Specific Dataset

prepup path/to/your/dataset.csv

Main Menu Options

1. Load Dataset
2. Inspect Data
3. Explore Data
4. Visualize Data
5. Impute Missing Values
6. Standardize Features
7. Export Data
8. AutoML (Train & Evaluate Models)

🎮 Interactive Workflow Example

1. Launch Prepup prepup

2. Load Your Dataset: Choose option 1 and enter your dataset path

3. Inspect Data: Use option 2 to explore features, data types, and missing values

4. Preprocess: Impute missing values | Standardize features

5. Analyze: Visualize data distributions | Perform correlation analysis | Run AutoML for model selection

🤖 AutoML Capabilities

• Supports both Classification and Regression tasks
• Evaluates multiple machine learning algorithms
• Provides performance metrics
• Saves results to CSV

📦 Dependencies

• NumPy
• Pandas
• Scikit-learn
• Matplotlib
• and more (see requirements.txt)

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📋 License

Distributed under the MIT License. See LICENSE for more information.

Package Link

• Github: https://github.com/sudhanshumukherjeexx/prepup-linux
• Documentation: https://sudhanshumukherjeexx.github.io/prepup-linux