serializable-excel 0.1.3

A user-friendly Python library for seamless bidirectional conversion between Excel spreadsheets and Pydantic models

SerializableExcel

A user-friendly Python library for seamless bidirectional conversion between Excel spreadsheets and Pydantic models using declarative syntax similar to SQLAlchemy.

Quick Start

from serializable_excel import ExcelModel, Column

class UserModel(ExcelModel):
    name: str = Column(header="Name")
    age: int = Column(header="Age")
    email: str = Column(header="Email")

# Read from Excel file
users = UserModel.from_excel("users.xlsx")

# Write to Excel file
UserModel.to_excel(users, "output.xlsx")

# Or work with bytes for API usage
excel_bytes = UserModel.to_excel(users, return_bytes=True)
users = UserModel.from_excel(file_bytes)

Installation

pip install serializable-excel

Or install from source:

git clone https://github.com/of1nn/serializable-excel.git
cd serializable-excel
pip install -r requirements.txt

Features

• 🔄 Bidirectional Conversion: Seamlessly convert between Excel sheets and Pydantic models
• 📝 Declarative Syntax: Define models using familiar SQLAlchemy-like syntax
• 🌐 API Ready: Work with bytes/BytesIO for seamless web API integration (FastAPI, Flask, etc.)
• 🔍 Automatic Type Inference: Smart type detection from Excel data
• ✅ Built-in Validation: Automatic validation of data types and constraints
• 🔧 Dynamic Columns: Support for runtime-detected columns perfect for admin-configurable fields
• 🛡️ Custom Validators: Define validation functions for data integrity
• 📤 Custom Getters: Extract values from complex database models when exporting
• 🎨 Cell Styling: Conditional cell formatting with colors, fonts, and styles

Documentation

📚 Full documentation is available at of1nn.github.io/serializable-excel

The documentation includes:

• Installation guide
• Quick start tutorial
• API reference
• Advanced usage examples
• Dynamic columns guide
• Validation and getters documentation

Requirements

• Python 3.8 or higher
• Pydantic 2.x
• openpyxl (for Excel file handling)

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please see our Contributing Guide for details.