Norm: A Revolutionary Approach to SQL for Nim Language
A brief introduction to the project:
Norm is an intuitive and well-structured open-source GitHub project designed to bring SQL to the Nim language in a refined way. This project has truly revolutionized how Databases can be interacted with through Nim. Its significance lies in its potential to simplify database operations and queries, making it a vital tool for developers using the Nim language.
Project Overview:
Norm seeks to streamline SQL operations in Nim by providing user-friendly API integrated into the programming language. The primary goal of the project is to offer an ORM that feels like it belongs to the Nim language. It aims to help developers reduce loopholes in code and potential error areas by simplifying the conversation between the Nim language and databases. The target audience for this project is developers using the Nim language who are willing and ready to leverage the power of databases in their applications.
Project Features:
Norm boasts of various features such as type checks before compilation, concise declarations for tables, and type-safe nim queries. Additionally, the project supports PostgreSQL and SQLite. The project's features directly contribute to its main objective of providing a seamless interaction between SQL databases and the Nim language. To illustrate, a developer interacting with a PostgreSQL database can use Norm's concise syntax to declare database tables and make queries without syntax complexity.
Technology Stack:
The Norm project is built with a technology stack consisting of Nim language and supports PostgreSQL and SQLite databases. The choice of Nim is notable for its efficiency and expressiveness, which makes it perfect for this project. PostgreSQL and SQLite make the project more versatile, as they are two of the most used database systems in the development world.
Project Structure and Architecture:
Norm follows an organized architecture and project structure, designed with modules for defining models, querying the database, and supporting different database systems. The simplicity of the project structure makes it less ambiguous, promoting better clarity in the codebase. The project also employs the principle of DRY (Don't Repeat Yourself) to avoid needless repetition in coding.
