Orm
Showing 36 of 104 projects
AASM is a Ruby library for adding finite state machines to plain Ruby classes and ORM models like ActiveRecord and Mongoid.
Automatically generates beautiful and interactive ER diagrams from your database schema.
Automatically generates beautiful and interactive ER diagrams from your database schema.
A lightweight, SQL-first Golang ORM supporting PostgreSQL, MySQL, MSSQL, SQLite, and Oracle with type safety and flexible scanning.
A full-featured, scalable web application framework for Go that mirrors Laravel's elegant syntax and structure.
A powerful, high-performance .NET ORM supporting AOT, multiple databases, and advanced features like CodeFirst/DbFirst.
The official Ruby object-document mapper (ODM) for MongoDB, providing ActiveRecord-like abstractions.
A command-line tool that generates idiomatic Go code from SQL database schemas and custom queries for PostgreSQL, MySQL, SQLite, Oracle, and SQL Server.
A Ruby gem for organizing ActiveRecord models into efficient tree structures using the materialized path pattern.
An advanced Python ORM that writes database queries using Python generator expressions and lambdas.
A Go library for relational persistence that maps structs to database tables with minimal boilerplate.
The open-source .NET data provider for PostgreSQL, enabling high-performance database connectivity and operations.
The open-source .NET data provider for PostgreSQL, enabling high-performance database connectivity and operations.
A productive data access layer for Go with ORM-like features, supporting PostgreSQL, MySQL, SQLite, MongoDB, and more.
A .NET library that uses PostgreSQL as a transactional document database and ACID-compliant event store.
A fast, type-safe LINQ database access library that sits between micro-ORMs and full ORMs, offering SQL-like control with LINQ expressions.
A modular Ruby toolkit for handling file uploads, processing, and storage with support for cloud services and multiple ORMs.
The official MongoDB .NET/C# driver for connecting C# applications to MongoDB databases.
A full-stack TypeScript CRUD framework that uses a single source of truth for API, client, and ORM.
A next-generation app and web server built for Flutter and Dart, enabling server-side development in Dart with automatic API generation.
A Ruby library for expressive, powerful interaction with the Solr search engine, enabling full-text search and indexing for Ruby objects.
The most popular Entity Framework Core provider for MySQL and MariaDB, built on top of MySqlConnector for high-performance database communication.
A small, simple, and immutable ORM for managing relational data in Redux stores.
A Rails gem for soft-deleting records by setting a deleted_at timestamp instead of removing them from the database.
A highly configurable FastAPI project generator with CLI/TUI support, offering database, ORM, API type, and integration choices.
A full database toolkit for PHP with expressive query builder, Eloquent ORM, and schema builder, extracted from Laravel.
An asynchronous Python object-document mapper (ODM) for MongoDB with data models based on Pydantic.
An asynchronous Python object-document mapper (ODM) for MongoDB, built on Pydantic.
A lightweight, header-only C++ ORM for SQLite with modern C++14/17/20 features and no raw string queries.
A Crystal web framework for fast, simple, and enjoyable application development with high performance.
A high-performance Rust ORM framework with compile-time dynamic SQL compilation for zero-runtime-overhead database operations.
A tool that automatically generates Go structs and GORM-compatible code from MySQL, SQLite, and MSSQL databases.
A Ruby on Rails ActiveRecord implementation of the nested set pattern for efficient hierarchical data management.
A simple ActiveRecord mixin for soft-deleting records by flagging them as discarded, without overriding ActiveRecord methods.
A modern, developer-centric Python web framework with batteries included for rapid development.
Extends Entity Framework with performance-enhancing features like batch operations, caching, auditing, and query optimization.
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