ARCA ORM: A Highly Efficient Lightweight Object-Relational Mapping Tool
The landscape of programming and specifically, Python development has seen some highly efficient and cost-effective tools and libraries for developers. One such tool that provides a simple, pythonic interface to your relational database of choice is ARCA ORM, an open-source project hosted on GitHub.
Project Overview:
ARCA ORM, an object-relational mapping tool, provides a simple and pythonic interface to your relational database of choice. Object-relational Mapping (ORM) in computer science is a programming technique for converting data between incompatible type systems in relational databases and object-oriented programming languages. The project's aim is to make database manipulation as easy as manipulating a python object. Delving into the significance of this project, it saves much time and resources by reducing the need for redundant and tedious coding during database structure creation and manipulation. Specifically designed for Python developers who work with databases, ARCA ORM stands out among its competitors due to its excellent manipulation capabilities and high efficiency.
Project Features:
The notable features that ARCA ORM endows its users range from allowing subscriptions to the instances to executing SQL queries, which are run in asynchronous tasks in the background. Its capability to provide a neat API for connecting to Transactional databases and inject dependencies into your instantiated classes dynamically gives it an edge. One of the exciting features is that ARCA ORM keeps Python developers in mind by providing the freedom to keep SQL queries in external files, lending them the flexibility to manage complex SQL scripts more efficiently.
Technology Stack:
Written primarily in Python, ARCA ORM is built from scratch with the Python developer community's needs in mind. Notably, it allows applying Python's idiomatic expressions to relational databases. Its technology stack majorly consists of Python for backend coding, SQL for database management, and unittest for testing the codebase. The robust combination of these technologies and ARCA ORM's pythonic interface creates a powerful base for easy and efficient database management.
Project Structure and Architecture:
The project is structured in a modular fashion with different sections catering to a separate aspect of the ORM's functionality. The key modules include the 'session' module for managing database sessions, 'model' module for creating structured and formatted data objects, and 'query' module for executing database queries, among others. Each module interacts harmoniously with one another, creating a well-integrated toolbox for database management.
