JSONexus

JSONexus is a lightweight and flexible database solution designed for modern applications. It provides a simple and intuitive way to store, query, and manipulate data using JSON documents.

Key Features

• Document-based storage
• Flexible schema-less design
• Powerful query capabilities
• Easy integration with various platforms

Installation

You can install JSONexus using pip:

pip install jsonexus

Getting Started

Check out the documentation for detailed usage instructions, API reference, and examples.

Usage

Local Storage

    from jsonexus import JSONexus
    
    # Create a local database
    db = JSONexus('data/db.json')
    
    # Insert a document
    db.insert('users', {'
    name': 'Alice', 
    'age': 30, 'email': 'alice@example.com'
    })
    
    # Find documents
    result = db.find('users', {"age": {'_op': '$gte', '_value': 25}})
    
    # Update a document
    db.update('users', {"name": {'_op': '$eq', '_value': 'Alice'}, {'age': 35})
    
    # Delete a document
    db.delete('users', {"name": {'_op': '$eq', '_value': 'Alice'}})
    
    # Count documents
    count = db.count('users')

Documentation

The documentation for JSONexus can be found in the Documentation directory. It includes detailed usage instructions, API reference, and examples.

About

JSONexus is an open-source project hosted on GitHub. You can contribute to the project, report issues, and request features on the GitHub repository

License

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

New Features

• deleteby_id: Allows users to delete an item from a collection by its unique identifier.

• updateby_id: Enables users to update an item in a collection based on its unique identifier.

• insert_no_duplicate: Adds functionality to insert items into a collection without duplicates.

• check_duplicate: Provides a method for checking whether a duplicate item exists in a collection.

  Update

  I replaced json with orjson for faster operation

  So, compared to Orjson: Old JSONexus is approximately 17.70 times slower. SQLite is approximately 5.366 times slower.