Awesome GitHub RepositoriesModel Generators

Epoxy is an Android library for building complex RecyclerView screens using a model-driven approach. It generates RecyclerView adapter models at compile time from annotated custom views, data binding layouts, or view holders, eliminating the manual boilerplate typically associated with view holders and adapters. The library provides a diffing engine that automatically compares model lists and applies minimal updates with animations for insertions, removals, and moves. The library distinguishes itself through its controller-based model building, where a controller class with a buildModels meth

Flask-SQLAlchemy is a toolkit that integrates the SQLAlchemy relational database toolkit with the Flask web framework. It enables relational data modeling by defining database table structures as Python classes and manages the persistence and retrieval of database records within a web application. The project binds database session lifecycles to the active application request context to ensure automatic connection cleanup. It provides specialized utilities for web data access, including query result pagination and a mechanism to automatically trigger 404 Not Found responses when a requested d

This project is a command-line schema-to-code converter designed to transform diverse data specifications into type-safe Python data structures. It functions as a generator for Pydantic models, dataclasses, and typed dictionaries, enabling developers to maintain synchronization between evolving data contracts and application code. By parsing formats such as JSON Schema, OpenAPI, AsyncAPI, Protobuf, and Avro, the tool automates the creation of native classes that reflect the constraints and metadata defined in the source specifications. The generator distinguishes itself through a highly confi

linq2db is a type-safe object-relational mapper that translates LINQ expressions into optimized SQL queries for multiple database providers. It functions as a database mapper that links classes to tables and includes a SQL query builder and a command-line schema tool for generating data classes from existing databases. The project provides high-performance bulk data processing for inserting and loading large volumes of records via batch or binary copy methods. It also supports advanced SQL operations, including window functions, common table expressions for recursive hierarchical querying, an