Open Source Mac Object-Relational Mapping (ORM) Software
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Object-Relational Mapping (ORM) Software for Mac
View 1548 business solutionsBrowse free open source Object-Relational Mapping (ORM) software and projects for Mac below. Use the toggles on the left to filter open source Object-Relational Mapping (ORM) software by OS, license, language, programming language, and project status.
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Hibernate
An object relational-mapping (ORM) library for Java
The Hibernate projects offer a suite of powerful Java libraries to work with data. It is best known for Hibernate ORM, which provides relational persistence for Java models and is an implementation of the Jakarta Persistence specification. Hibernate projects do not consistently release binaries or documentation to SourceForge anymore. For up-to-date information, refer to the Hibernate website: * Hibernate ORM: https://hibernate.org/orm/ * Hibernate Validator: https://hibernate.org/validator/ * Hibernate Search: https://hibernate.org/search/ That website will also be updated with newer projects, such as Hibernate Reactive. -
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Prisma
Next-generation ORM for Node.js and TypeScript
Prisma helps app developers build faster and make fewer errors with an open source ORM for PostgreSQL, MySQL and SQLite. Central to Prisma is the schema, a declarative way to define your app's data models and their relations that's human-readable. And you don't have to painstakingly create it from scratch if you already have a database - prisma introspect takes care of that. Prisma Client is a query builder that composes the way you think and gets auto-generated from the Prisma schema with types tailored to your app. We designed the API to be intuitive for both SQL veterans and people brand new to databases. Auto-completion, linting, formatting and more help Prisma developers in VSCode stay confident without distractions. Prisma Client puts extra emphasis on extensive type safety for more productive development in TypeScript. Prisma is a server-side library that helps your app read and write data to the database in an intuitive and safe way. -
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XML Editor/Validator/Designer with CAMV
CAM XML Editor for XML+JSON+Hibernate+SQL Open-XDX sponsored by Oracle
The CAM editor is the leading open source XML Editor/Validation/Schema toolset for rapidly building / deploying XML /JSON /Hibernate /SQL data /Forms applications. Visual WYSIWYG data design, rule entry wizards + drag & drop dictionary components. Will import, analyze / refactor from XML Schema / JSON. Oracle is a proud enterprise sponsor; with NIEM.gov support. Do SQL data import/map+ Open Data API delivery+ Hibernate JPA + UI Forms/Pencil Makes XSD schema (default, flatten, NIEM, & OASIS modes) + JAXB bindings; Mindmap FreeMind or UML models(XMI); XML unit test & live SQL data; HTML docs + spreadsheets (NIEM IEPDs). Canonical component dictionaries from schema sets, SQL, JSON, ERwin XSD, or spreadsheets. The XML CAM templates (OASIS standard) store the exchange structure, content model, code lists, DBMappings, SQL lookups+business rules (XPath). Java CAMV XML/JSON validation engine is a complete exchange test framework [XMLUnit, TEAM(Schematron)]. Java/Eclipse +Saxon/XSL -
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Dapper
A simple object mapper for .Net
Dapper is an open-source object-relational mapping (ORM) library for .NET and .NET Core applications. The library allows developers quickly and easily access data from databases without the need to write tedious code. Dapper allows you to execute raw SQL queries, map the results to objects, and execute stored procedures, among other things. It is available as a NuGet package. Dapper is lightweight and fast, making it an ideal choice for applications that require low latency and high performance. It is a simple yet powerful object mapping tool for any .NET language, such as C#, that enables developers to quickly and easily map query results from ADO.NET data readers to instances of business objects. It has excellent support for both asynchronous and synchronous database queries and batching multiple queries together into a single call. -
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Pony ORM
Pony Object Relational Mapper
Pony ORM is a Python ORM that enables developers to write database queries using generator expressions and Pythonic syntax, making code more readable and intuitive. It automatically translates Python expressions into SQL and supports multiple databases including SQLite, MySQL, PostgreSQL, and Oracle. With an emphasis on simplicity and maintainability, Pony ORM is suitable for both small projects and complex applications. -
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DataNucleus
Java persistence using JDO, JPA or REST
DataNucleus provides Java data persistence to a range of datastores using JDO/JPA/REST APIs. *** Note that code development is no longer on SourceForge (code on SourceForge is for versions up to 3.3.5 only) *** -
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AutoMapper
A convention-based object-object mapper in .NET
A convention-based object-object mapper. 100% organic and gluten-free. Takes out all of the fuss of mapping one object to another. AutoMapper is a simple little library built to solve a deceptively complex problem, getting rid of code that mapped one object to another. This type of code is rather dreary and boring to write, so why not invent a tool to do it for us? First, install NuGet. Then, install AutoMapper from the package manager console. AutoMapper is an object-object mapper. Object-object mapping works by transforming an input object of one type into an output object of a different type. What makes AutoMapper interesting is that it provides some interesting conventions to take the dirty work out of figuring out how to map type A to type B. As long as type B follows AutoMapper’s established convention, almost zero configuration is needed to map two types. -
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realm dotnet
Realm is a mobile database: a replacement for SQLite & ORMs
Realm is a fast, scalable alternative to SQLite with mobile to cloud data sync that makes building real-time, reactive mobile apps easy. Build data-rich apps without draining device resources with Realm's lazy loading and zero-copy architecture. The object-oriented data model lets developers work directly with native objects – no ORMs or DAOs are needed. Real-time mobile to cloud data sync makes it easy to build interactive features that keep data up-to-date across multiple devices, users, and the backend. Accelerate time-to-market with easy to learn, language-native APIs that simplify data access. Device Sync, backed by MongoDB Atlas, handles the most complex part of connecting your client to the backend with ease – guaranteeing an app that works as expected and syncs data reliably, every time. Build full mobile apps with ease. -
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Primer CSS
The CSS design system that powers GitHub
Our goal is to create a system that enables us to build consistent user experiences with ease, yet with enough flexibility to support the broad spectrum of GitHub websites. This goal is embedded in our design and code decisions. Our approach to CSS is influenced by Object-Oriented CSS principles, functional CSS, and BEM architecture. Styles can be mixed and matched to achieve many different layouts, independent of their location. These styles fall into three categories. Single-purpose, immutable styles, that do one thing well. Abstracted patterns for frequently used visual styles. Primer CSS is built upon systems that form the foundation of our styles such as spacing, typography, and color. This systematic approach helps ensure our styles are consistent and interoperable with each other. The base-8 spacing scale is highly composable and works with the density of GitHub’s content. Margin and padding spacers bring consistency to vertical and horizontal rhythm. -
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SQLBoiler
Generate a Go ORM tailored to your database schema
SQLBoiler is a tool to generate a Go ORM tailored to your database schema. It is a "database-first" ORM as opposed to "code-first" (like gorm/gorp). That means you must first create your database schema. Please use something like sql-migrate or some other migration tool to manage this part of the database's life-cycle. While attempting to migrate a legacy Rails database, we realized how much ActiveRecord benefited us in terms of development velocity. Coming over to the Go database/sql package after using ActiveRecord feels extremely repetitive, super long-winded and down-right boring. Being Go veterans we knew the state of ORMs was shaky, and after a quick review we found what our fears confirmed. Most packages out there are code-first, reflect-based and have a very weak story around relationships between models. Work with existing databases: Don't be the tool to define the schema, that's better left to other tools. -
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SQLObject
SQLObject is a Python ORM.
SQLObject is an object-relational mapper for Python. It supports MySQL, PostgreSQL, SQLite, Firebird, MaxDB/SapDB, MS SQL and Sybase. It supports Python versions back to 2.7. -
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FreeSql
.NET aot orm, VB.NET/C# orm, Mysql/PostgreSQL/SqlServer/Oracle orm
FreeSql is a robust ORM (Object Relational Mapper) for .NET that supports multiple databases like MySQL, PostgreSQL, SQLite, Oracle, and SQL Server. It provides advanced features such as automatic entity mapping, LINQ-style queries, caching, and database-first or code-first workflows. Designed for developers who want full control and performance without sacrificing productivity. -
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bookshelf.js
A simple Node.js ORM for PostgreSQL, MySQL and SQLite3
Bookshelf is a JavaScript ORM for Node.js, built on the Knex SQL query builder. It features both Promise-based and traditional callback interfaces, transaction support, eager/nested-eager relation loading, polymorphic associations, and support for one-to-one, one-to-many, and many-to-many relations. Bookshelf aims to provide a simple library for common tasks when querying databases in JavaScript, and forming relations between these objects, taking a lot of ideas from the Data Mapper Pattern. With a concise, literate codebase, Bookshelf is simple to read, understand, and extend. It doesn't force you to use any specific validation scheme, and provides flexible, efficient relation/nested-relation loading and first-class transaction support. It's a lean object-relational mapper, allowing you to drop down to the raw Knex interface whenever you need a custom query that doesn't quite fit with the stock conventions. -
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Diesel
A safe, extensible ORM and Query Builder for Rust
Diesel is the most productive way to interact with databases in Rust because of its safe and composable abstractions over queries. We don’t want to waste time tracking down runtime errors. We achieve this by having Diesel eliminate the possibility of incorrect database interactions at compile time. Diesel offers a high level query builder and lets you think about your problems in Rust, not SQL. Our focus on zero-cost abstractions allows Diesel to run your query and load your data even faster than C. Unlike Active Record and other ORMs, Diesel is designed to be abstracted over. Diesel enables you to write reusable code and think in terms of your problem domain and not SQL. -
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Drizzle ORM
Headless TypeScript ORM with a head. Runs on Node, Bun and Deno
Drizzle ORM is a lightweight, TypeScript-first Object-Relational Mapping (ORM) tool designed for modern JavaScript runtimes. It supports environments like Node.js, Bun, Deno, and even edge runtimes, providing developers with a flexible and type-safe way to interact with databases. Drizzle ORM emphasizes performance and developer experience. -
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LiteSQL is a codegenerator and C++ library that integrates C++ objects tightly to relational database and thus provides an object persistence layer. LiteSQL supports SQLite3, PostgreSQL, MySQL and oracle as backends.
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Beam
A type-safe, non-TH Haskell SQL library and ORM
Beam is a Haskell interface to relational databases. Beam uses the Haskell type system to verify that queries are type-safe before sending them to the database server. Queries are written in a straightforward, natural monadic syntax. Combinators are provided for all standard SQL92 features, and a significant subset of SQL99, SQL2003, and SQL2008 features. Beam is standards-compliant but not naive. We recognize that different database backends provide different guarantees, syntaxes, and advantages. To reflect this, Beam maintains a modular design. While the core package provides standard functionality, Beam is split up into a variety of backends which provide a means to interface Beam's data query and update DSLs with particular RDBMS backends. Backends can be written and maintained independently of this repository. For example, the beam-MySQL and beam-firebird backends are packaged independently. -
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Ebean
Ebean ORM
Ebean provides multiple levels of query abstraction ORM Queries, mixed with SQL, DTO Queries, SqlQuery and JDBC. Work at the highest level of abstraction and drop down levels as needed. Built in DB migration generation and running. Support for "rebase" migrations as well as repeatable, init and 'normal' migrations. Ebean produces SQL that you would hand craft yourself. Use great SQL, never generate SQL cartesian product, always honor relational limit/offset. For ORM queries Ebean can profile the object graph being used and either automatically tune the query. Docker test containers for all the supported databases. Get 100% test coverage on all the features of the database we use. We can build queries using type safe query beans. IDE auto-complete when writing queries, compile time checking and it's FUN. Optimize queries to only fetch what we need (partial objects). Automatically avoid N+1 via a smart load context. -
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GORM
The fantastic ORM library for Golang, aims to be developer friendly
GORM is a powerful, developer-friendly ORM library for Go. It maps Go structs to DB tables, supports relationships, hooks, transactions, eager loading, raw SQL, migrations, and advanced querying with plugins. -
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MyBatis-Plus
An powerful enhanced toolkit of MyBatis for simplify development
MyBatis-Plus is an enhanced toolkit for MyBatis, designed to simplify development and increase productivity. It provides a range of out-of-the-box features such as code generation, conditional query builders, and pagination plugins, reducing boilerplate code and streamlining database operations. MyBatis-Plus is widely used in enterprise applications for its efficiency and ease of use. -
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ObjectMapper
Simple JSON Object mapping written in Swift
ObjectMapper is a framework written in Swift that makes it easy for you to convert your model objects (classes and structs) to and from JSON. Once your class implements Mappable, ObjectMapper allows you to easily convert to and from JSON. Use functions to validate JSON prior to object serialization provide an existing cached object to be used for mapping, return an object of another type (which also conforms to BaseMappable) to be used for mapping. For instance, you may inspect the JSON to infer the type of object that should be used for mapping. ObjectMapper supports dot notation within keys for easy mapping of nested objects. ObjectMapper also supports custom transforms that convert values during the mapping process. To use a transform, simply create a tuple with map["field_name"] and the transform of your choice on the right side of the <- operator. -
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Orange ORM
The ultimate ORM for Node and Typescript
Orange ORM is a lightweight, reflection-free ORM for Go that emphasizes performance and direct control. It provides a SQL-like fluent API and struct tagging system to map Go structs to database tables. Orange ORM supports PostgreSQL, MySQL, and SQLite, making it suitable for fast, embedded, or minimal-dependency applications. -
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PostgreSQL client and ORM for Golang
Golang ORM with focus on PostgreSQL features and performance
Basic types, integers, floats, string, bool, time.Time, net.IP, net.IPNet. All struct fields are nullable by default and zero values (empty string, 0, zero time, empty map or slice, nil ptr) are marshalled as SQL NULL. pg:",notnull" is used to add SQL NOT NULL constraint and pg:",use_zero" to allow Go zero values. sql.NullBool, sql.NullString, sql.NullInt64, sql.NullFloat64 and pg.NullTime. Structs, maps and arrays are marshalled as JSON by default. PostgreSQL multidimensional Arrays using array tag and Array wrapper. Hstore using hstore tag and Hstore wrapper. go-pg supports 2 last Go versions and requires support for Go modules. So make sure to initialize a Go module. ORM supports has one, belongs to, has many, and many to many with composite/multi-column primary keys. ForEach that calls a function for each row returned by the query without loading all rows into the memory. -
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SQL-first Golang ORM for PostgreSQL
SQL-first Golang ORM
Bun's goal is to help you write SQL, not to hide it behind awkward constructs. Bun uses database/sql and extends it in a compatible and idiomatic way. Out-of-the-box works with PostgreSQL, MySQL 5.7+, MSSQL, and SQLite. Keep your database schema updated with Go and SQL-based migrations. Provide initial data for your application with YAML fixtures. Modern app skeleton puts everything together and helps you get started. Bun is brought to you by uptrace/uptrace. Uptrace is an open-source APM tool that supports distributed tracing, metrics, and logs. You can use it to monitor applications and set up automatic alerts to receive notifications via email, Slack, Telegram, and others. -
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Symfony Doctrine Bridge
Provides integration for Doctrine with various Symfony components
Symfony Doctrine Bridge is a component that integrates the powerful Doctrine ORM (Object-Relational Mapping) with the Symfony framework. It provides a seamless connection between Symfony's data handling and Doctrine's database management, allowing developers to work efficiently with database entities. The bridge handles the configuration and registration of Doctrine within Symfony applications, making it an essential tool for projects requiring robust data management.
