Open Source Linux Object-Relational Mapping (ORM) Software
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Object-Relational Mapping (ORM) Software for Linux
View 1279 business solutionsBrowse free open source Object-Relational Mapping (ORM) software and projects for Linux 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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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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Mikro Orm
TypeScript ORM for Node.js based on Data Mapper, Unit of Work
TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. MikroORM allows handling transactions automatically. When you call em.flush(), all computed changes are wrapped inside a database transaction. Uses source code analysis so you do not have to repeat yourself when defining entities. Simply define correct TypeScript types and you are good to go! Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases, and more can be supported via custom drivers right now. Keep your schema in sync with SchemaGenerator and Migrator. Supports both up and down migrations. With the Seeder and seeding factories, we can generate fake data of any volume/shape and seed the database with ease. Thanks to the UnitOfWork, all queries it fires are automatically batched. Inserts, updates, deletes - you name it! Powerful event system allows to hook into not only the entity lifecycle. Want to alter how the UnitOfWork works? Try onFlush event! -
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Peewee-async
Asynchronous interface for peewee ORM powered by asyncio
peewee-async is an async extension for the Peewee ORM, enabling non-blocking database access in asyncio-powered Python applications. It allows you to use familiar Peewee models while benefiting from asynchronous I/O, making it ideal for web applications or services that require concurrency. -
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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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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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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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Orator
The Orator ORM provides a simple yet beautiful ActiveRecord implement.
The Orator ORM provides a simple yet beautiful ActiveRecord implementation. The Orator ORM is based on conventions to avoid the hassle of defining every single aspect of your models. It is inspired by the database part of the Laravel framework, but largely modified to be more pythonic. All you need to get you started is the configuration describing your database connections and passing it to a DatabaseManager instance. If you have multiple databases configured you can specify which one is the default. For MySQL and PostgreSQL, the connectors are configured to return unicode strings. If you want to use the previous behavior just set the use_unicode configuration option to False. Once you have configured your database connection, you can run queries. To run a set of operations within a database transaction, you can use the transaction method which is a context manager. -
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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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Prisma Client Python
Prisma Client Python is an auto-generated and fully type-safe database
prisma-client-py is an auto-generated Python ORM for Prisma schema files, bringing Prisma's developer experience to Python projects. It provides a type-safe, intuitive interface for interacting with databases like PostgreSQL and MySQL. prisma-client-py is ideal for Python developers who want static typing, code completion, and seamless integration with modern backend stacks. -
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REL
Modern ORM for Golang
REL is a modern and lightweight ORM for Go that emphasizes testability, flexibility, and composability. It supports a repository pattern and expressive query building with support for advanced SQL features. REL aims to make it easier to write maintainable, testable, and readable database logic in idiomatic Go. -
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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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SmartSql
SmartSql = MyBatis in C# + .NET Core+ Cache(Memory | Redis)
SmartSql is a lightweight, high-performance ORM for .NET inspired by MyBatis. It provides a hybrid approach that separates SQL from application code while supporting dynamic queries, mapping, and caching. With XML or annotation-based configuration, SmartSql is designed to balance control and productivity for .NET developers. -
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JAS-mine
Toolkit for agent-based & dynamic microsimulation modelling
JAS-mine is a Java platform that aims at providing a unique simulation tool for discrete-event simulations, including agent-based and microsimulation models. With the aim to develop large-scale, data-driven models, the main architectural choice of JAS-mine is to use whenever possible standard, open-source tools already available in the software development community. It has built-in utilities for communicating with an underlying relational database. In addition, the platform provides standard tools which are frequently used both in agent-based modelling and dynamic microsimulations, like design of experiments (DOE), run-time monitoring and visualization with plots and graphs (GUI), I/O communication and statistical analysis. JAS-mine source code can be found on GitHub, with the core repository at: https://github.com/jasmineRepo/JAS-mine-core and the GUI repository at: https://github.com/jasmineRepo/JAS-mine-gui -
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Sormula
Java ORM
Simple (Easy) Object Relational Mapping for Java Sormula is a Java library that moves data between Java objects and relational database tables. * Easy to Use * Simple to Understand * Minimal Configuration * Portable It provides select, insert, update, and delete, and many other common operations. One-to-one and one-to-many cascading for unlimited levels. Simplified IN operator parameter as java.util.Collection. Custom conversions between any Java class/type and column type. * Works with any relational database. Tested with H2, HSQLDB, Derby, SQLiteJDBC, MySQL, MariaDB, Firebird, DB2, Oracle 11g, PostgreSQL. * Performs as fast as plain JDBC. Performs faster than plain JDBC when caching is enabled. * Zero-configuration, zero-annotation use is possible. * Active record pattern may be used but is not required. Maven <dependency> <groupId>org.sormula</groupId> <artifactId>sormula</artifactId> <version>4.3</version> </dependency> -
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POJava is a simple, light-weight Java-based API for data processing and development. It includes an immutable DateTime object capable of parsing free-form dates in multiple languages and formats, and a variety of utilities for data transformation.
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SQL Mapper
SQL Mapper is a simple Java library which helps in dealing with JDBC.
Using this library you can focus on how you want to map results of your SQL query to your domain objects. You don't need to use any xml configuration (like, for example in MyBatis/iBatis). You also don't need to use any annotations to run SQL Mapper. The SQL Mapper is similar to Spring JDBC Framework, but it has some of its features simplified and some changed. It runs on JDK 7 or higher. The zip archive contains the library jar, sources and javadocs, and also a demo which shows how to use the mapper. P.S. This project was created for fun, when I was bored to death in my new job :) So it is not well tested, any advices will be helpful. -
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A java assignment submission system which lets students to turn in their assignments and perform compilation and unit testing. Faculty members can evaluate submissions and grade.
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Analogue ORM
Analogue ORM : Data Mapper ORM for Laravel/PHP
Analogue is a flexible, easy-to-use ORM for PHP. It is a transposition of the Eloquent ORM that ships with Laravel framework using a Data Mapper pattern instead of the original Active Record approach. it overcomes some of Eloquent's architectural limitations by using a strict separation of concerns; for example, you can use Value Objects or Single-table-inheritance, which are hard/impossible to implement correctly using the native ORM. As a Laravel package, it integrates flawlessly inside the framework, and provides a more powerfull peristance layer, allowing to build enterprise-grade applications while retaining a simple and enjoyable development experience. -
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Ardent
Self-validating, secure and smart models for Laravel's Eloquent ORM
Self-validating, secure and smart models for Laravel's Eloquent ORM. Based on the Aware bundle for Laravel 3 by Colby Rabideau. Add laravelbook/ardent as a requirement to composer.json. You can also add the package using composer require laravelbook/ardent and later specifying the version you want (for now, dev-master is your best bet). The magic-dust-powered, wrist-friendly, one-stop solution to all your dreary input sanitization boilerplates! Puns aside, input validation functionality can quickly become tedious to write and maintain. Ardent deals away with these complexities by providing helpers for automating many repetitive tasks. Ardent is not just great for input validation, though, it will help you significantly reduce your Eloquent data model code. Ardent is particularly useful if you find yourself wearily writing very similar code time and again in multiple individual applications. -
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Artemis
Cassandra "ORM" with hooks for Jersey integration if desired
Using the new CQL3 driver by Datastax Artemis provides extremely easy to use "ORM" like functionality for Cassandra. It also contains hooks for integration into Jersey2 to enable rapid development of RESTful services, or even websites, if you enable JSP functionality for Jersey. If there is a demand, I could add a plugin to render views using things like Velocity, etc. See https://sourceforge.net/p/wicca/wiki/Home/ for more documentation -
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AutoDAO is a Generic DAO on steroids implementation for Java with Hibernate support, annotation-driven configuration, tight Spring Framework integration and zero persistence code required for most common query types.
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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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