Open Source Object-Relational Mapping (ORM) Software
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Object-Relational Mapping (ORM) Software
View 5729 business solutionsBrowse free open source Object-Relational Mapping (ORM) software and projects 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
Hibernate is an Object/Relational Mapper tool. It's very popular among Java applications and implements the Java Persistence API. Hibernate ORM enables developers to more easily write applications whose data outlives the application process. As an Object/Relational Mapping (ORM) framework, Hibernate is concerned with data persistence as it applies to relational databases (via JDBC). -
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HIBERNATE
Hibernate's core object/relational mapping functionality
Hibernate ORM is a library providing Object/Relational Mapping (ORM) support to applications, libraries, and frameworks. It also provides an implementation of the JPA specification, which is the standard Java specification for ORM. The build requires a Java 8 JDK as JAVA_HOME. You will need Git to obtain the source. Hibernate makes use of Jenkins for its CI needs. The project is built continuous on each push to the upstream repository. The Hibernate build defines several database testing "profiles" in databases.gradle. These profiles can be activated by name using the db build property which can be passed either as a JVM system prop (-D) or as a Gradle project property (-P). You don't have to install all databases locally to be able to test against them in case you have docker available. The script docker_db.sh allows you to start a pre-configured database which can be used for testing. -
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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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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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DoctrineExtensions
Doctrine2 behavioral extensions, Translatable, Sluggable, etc
Doctrine Extensions is a set of useful extensions for the Doctrine ORM, enhancing the functionality of entity management and database interactions. It provides additional features such as timestamping, versioning, and nested set support, making it a valuable tool for applications that require advanced data management. The extensions integrate seamlessly with Symfony and other PHP frameworks that use Doctrine. -
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Go XORM
Simple and Powerful ORM for Go
XORM is a simple and powerful Object-Relational Mapping (ORM) library for Go. It provides a clean API for interacting with databases, supporting multiple database systems. XORM simplifies database operations by allowing developers to work with Go structs instead of writing raw SQL queries. -
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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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ServiceStack.OrmLite
Fast, Simple, Typed ORM for .NET
ServiceStack.OrmLite is a lightweight, high-performance Object-Relational Mapping (ORM) library for .NET. It simplifies data access by mapping .NET classes to database tables, enabling developers to perform CRUD operations with ease. -
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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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peewee
A small, expressive orm, which supports postgresql, mysql and sqlite
Peewee is a simple and small ORM. It has few (but expressive) concepts, making it easy to learn and intuitive to use. Peewee will automatically infer the database table name from the name of the class. You can override the default name by specifying a table_name attribute in the inner “Meta” class (alongside the database attribute). To learn more about how Peewee generates table names, refer to the Table Names section. There are lots of field types suitable for storing various types of data. Peewee handles converting between pythonic values and those used by the database, so you can use Python types in your code without having to worry. The real strength of our database is in how it allows us to retrieve data through queries. Relational databases are excellent for making ad-hoc queries. Peewee provides a magical helper fn(), which can be used to call any SQL function. -
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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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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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Doctrine ORM
Doctrine Object Relational Mapper
Doctrine 2 is an object-relational mapper (ORM) for PHP 7.1+ that provides transparent persistence for PHP objects. It sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernate's HQL. This provides developers with a powerful alternative to SQL that maintains flexibility without requiring unnecessary code duplication. As the term ORM already hints at, Doctrine ORM aims to simplify the translation between database rows and the PHP object model. The primary use case for Doctrine are therefore applications that utilize the Object-Oriented Programming Paradigm. For applications that do not primarily work with objects Doctrine ORM is not suited very well. Doctrine ORM requires a minimum of PHP 7.1. For greatly improved performance it is also recommended that you use APC with PHP. -
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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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Laravel Doctrine ORM
A drop-in Doctrine ORM 2 implementation for Laravel 5+
Doctrine 2 is an object-relational mapper (ORM) for PHP that provides transparent persistence for PHP objects. It uses the Data Mapper pattern at the heart, aiming for a complete separation of your domain/business logic from the persistence in a relational database management system. The benefit of Doctrine for the programmer is the ability to focus on object-oriented business logic and worry about persistence only as a secondary problem. This doesn’t mean persistence is downplayed by Doctrine 2, however, it is our belief that there are considerable benefits for object-oriented programming if persistence and entities are kept separated. -
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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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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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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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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 1
Database Tools incl. ORM, migrations and admin UI
Prisma is the perfect tool for building GraphQL servers. The Prisma client is compatible with the Apollo ecosystem, has default support for GraphQL subscriptions and Relay-style pagination, provides end-to-end type safety and comes with a built-in dataloader to solve the N+1 problem. Prisma replaces traditional ORMs and simplifies database workflows. Access, Type-safe database access with the auto-generated Prisma client (in JavaScript, TypeScript, Go). Migrate, declarative data modeling and migrations (optional). Manage, visual data management with Prisma Admin. It is used to build GraphQL, REST, gRPC APIs and a lot more. Prisma currently supports MySQL, PostgreSQL, MongoDB. Prisma is a great fit for building REST& gRPC APIs where it can be used in place of traditional ORMs. It provides many benefits such as type safety, a modern API and flexible ways for reading and writing relational data. -
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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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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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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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go-kallax
Kallax is a PostgreSQL typesafe ORM for the Go language
go-kallax is a type-safe ORM for Go, designed to work seamlessly with PostgreSQL. It generates Go code from your database schema using model definitions, allowing for clean and performant data access without raw SQL. The library is built with Go idioms in mind and focuses on compile-time safety and ease of use.
Guide to Open Source Object-Relational Mapping (ORM) Software
Open source object-relational mapping (ORM) software acts as an intermediary between data stored in database management systems and the applications that use them. This software provides a way to efficiently map objects in programming languages to database structures, while preserving their properties. It also provides programmers with an interface for interacting with databases without needing any knowledge of database query language syntax. ORM software is typically written in a scripting language such as Python, PHP, or Java and enables database access using Active Record, Data Mapper, and Unit of Work design patterns.
One advantage of using open source ORM software is that it can greatly reduce the amount of time spent writing code for complex queries. Additionally, developers no longer need to manually write SQL queries when interacting with databases; instead they can use higher-level abstractions provided by the ORM APIs to define data modeling requirements and reduce the size of the codebase required for application development or maintenance tasks. Using an ORM usually increases productivity and helps enforce uniform coding standards across development teams because most ORMs are designed around common web application frameworks such as Rails or Django. Furthermore, since the code powering ORMs is often open sourced it allows developers to easily collaborate on projects together or create new libraries that extend existing functionality beyond what’s available out-of-the box.
Overall, open source object-relational mapping (ORM) software provides many benefits like increased speed in coding complex queries, easier collaboration among different development teams working on the same project, and simplified access to databases for developers who may not have expertise in SQL query language syntaxes.
Open Source Object-Relational Mapping (ORM) Software Features
- Automated Database Schemas: ORM software automates the process of creating database schemas by mapping object-oriented classes to relational database tables. This makes it easier for developers to quickly create databases without having to manually define all database information and fields in the SQL language.
- Query Building: ORM software allows developers to quickly build queries using an object-oriented programming (OOP) syntax, reducing the need for manual SQL coding. This makes it easy for developers to query or update database records with minimal effort and time.
- Model Relationships: ORM software can easily model complex relationships between entities in an object-oriented environment, such as one-to-one, one-to-many, or many-to-many relationships. This helps keep data organized and reduces the amount of manual code that needs to be written when working with relational databases.
- Data Validation: ORM software provides built-in data validation features which allow users to validate user input before submitting any queries or updates so that only valid and consistent data is saved into the database. This ensures accuracy of information stored in the database and prevents redundant or invalid entries from being made accidentally by users.
- Caching Mechanisms: ORM software often includes caching mechanisms which help minimize the number of times a program needs to connect to the underlying database while still allowing applications access to frequently used data quickly, resulting in improved performance overall.
What Are the Different Types of Open Source Object-Relational Mapping (ORM) Software?
- Hibernate: Hibernate is an open source Java-based ORM which enables developers to map plain old Java objects (POJO) to relational tables. It is popular for its ability to access multiple relational databases with a single set of code.
- Kodo: Kodo is an open source Java-based ORM which provides object persistence and query technology for enterprise applications. It is designed to allow developers to store, retrieve, manipulate and manage data in a database system.
- iBATIS/MyBatis: iBATIS (now known as MyBatis) is an open source framework that maps accessed objects into SQL queries, enabling developers to quickly and easily create database-independent applications. MyBatis has been widely adopted due to its powerful mapping capabilities, support of advanced features such as type handlers, dynamic SQL and pagination, and easy integration into other frameworks such as Spring Framework or Grails.
- JDBC: JDBC (Java Database Connectivity) is the industry standard for connecting applications written in the Java language with data sources such as relational databases and spreadsheets. JDBC provides Object Relational Mapping technologies that enable developers to store data from any application without having any knowledge about the underlying database structure or SQL syntax used by the data source itself.
- JPA/EclipseLink: The Java Persistence API (JPA) provides a common way for persistent entities i.e., classes that are connected with specific instances of a particular type of data stored in a database using annotations or metadata from class fields throughout the application’s codebase while EclipseLink adds additional features above those provided by JPA including caching provider services, extended object-oriented query feature support, change tracking algorithms within session beans, versioning strategies and much more.
Benefits of Open Source Object-Relational Mapping (ORM) Software
- Increased Productivity: ORM tools provide developers with the ability to quickly and easily bridge the gap between their code and a relational database, allowing them to speed up the development process.
- Reduced Maintenance Costs: By abstracting away many of the complexities associated with relational databases, ORM software significantly reduces the amount of time needed for maintenance tasks. This leads to lower long-term costs and fewer headaches for developers.
- Safer Code: ORM software offers a better way of keeping your code safe from SQL injection attacks. By creating queries programmatically and relying on parameterized stored procedures, it’s much easier to prevent malicious code from being injected into your application’s database.
- Improved Performance: Many ORMs offer features such as object caching and query optimization that can drastically improve application performance without requiring any manual tweaking from developers.
- Easier Customization: Because most ORMs are written in an open source environment, they can be easily customized and adjusted according to specific needs without having to rewrite large amounts of code. This makes it simpler for developers to add new features or apply customizations as required.
Who Uses Open Source Object-Relational Mapping (ORM) Software?
- Web Developers: Those who develop websites and web applications can use ORM software to quickly create databases and maintain relationships between objects.
- Mobile Application Developers: Mobile application developers often need to store, access, and update data. They can use ORM software to organize the process, making it easier for them to develop their applications quickly.
- Small Businesses: ORMs are cost-effective solutions for small businesses that need database management but don’t have enough resources for buying proprietary database solutions.
- Data Scientists: Data scientists often need sophisticated database management features such as complex queries, data integration from multiple sources and dynamic object mapping capabilities, all of which can be easily achieved with an ORM tool.
- Database Administrators (DBAs): An ORM offers an easy way for database administrators to write code and query results using simple classes instead of tables. This makes it easier for them to manage large databases without having to manually write SQL scripts on an ad hoc basis.
- Software Engineers: Software engineers who specialize in creating distributed systems like microservices can benefit from the scalability offered by many popular ORMs such as Entity Framework or Hibernate OGM.
How Much Does Open Source Object-Relational Mapping (ORM) Software Cost?
Open source object-relational mapping (ORM) software typically does not cost anything, as it is open source. This means that the creators have chosen to make the software available to everyone without charging a fee. The ORM software can be downloaded and used for free by anyone who wishes to do so.
By using open source ORM software, developers gain access to powerful tools which they may use to efficiently and effectively design their databases. These tools include features such as automated database generation, auto-mapping of objects and relations between them, API integration with other languages or databases, many-to-many relationships for complex data sets, and more. All of these features help developers create better databases in less time than traditional methods.
The openness of this type of software also allows developers from all around the world to collaborate on projects with different technologies which support interoperability among them. This helps ensure that any changes made are shared across multiple platforms without extra costs or delays associated with proprietary solutions. Additionally, members of online developer communities often provide feedback on how to improve ORMs in order to benefit everyone involved in these collaboration efforts.
For those looking for enterprise level options at a cost but still benefit from the benefits associated with open source ORM solutions there are various commercial vendors that offer both free and paid packages with enhanced features compared to freely available ones including improved scalability, increased security measures, advanced automation abilities etc.
What Does Open Source Object-Relational Mapping (ORM) Software Integrate With?
Open source object-relational mapping (ORM) software is used to map objects from a programming language to relational database systems. This type of software can integrate with many other types of software, including web frameworks and query languages. ORM can be integrated with web frameworks such as Java Server Pages (JSP), Ruby on Rails or Django by providing the developer with the ability to access data in a relational database through their code. It also supports integration with query languages such as SQL, allowing developers to use existing queries for their applications. Finally, it provides an interface for popular development tools like Eclipse, Visual Studio and IntelliJ which makes it easier to work with databases within these tools. By providing an easily accessible interface between various programming elements and databases, ORM allows developers to create powerful data-driven applications while minimizing the effort required on their part.
Recent Trends Related to Open Source Object-Relational Mapping (ORM) Software
- Increased Adoption: More and more businesses are turning to open source ORM software to manage their databases because of its cost-effectiveness, scalability, and reliability.
- Improved Security: Open source ORM software is designed with robust security protocols to protect data from attackers.
- Support for Popular Databases: Open source ORM software supports popular database systems such as SQL Server, Oracle, PostgreSQL, MongoDB, and Hadoop.
- Increased Flexibility: Open source ORM software is highly customizable, allowing developers to tailor their applications to fit their specific needs.
- Reduced Time-to-Market: Open source ORM software reduces the time it takes to develop applications by removing many of the tedious tasks associated with database management.
- Faster Development Cycles: With open source ORM software, development cycles are faster due to the ability to quickly modify code and make changes on the fly.
- Automated Testing: Many open source ORM tools include automated testing capabilities, which reduces the amount of manual testing needed for applications.
- Greater Compatibility Across Platforms: Open source ORM software is designed to be platform-agnostic and can be used on multiple operating systems such as Windows, macOS, Linux, and Android.
Getting Started With Open Source Object-Relational Mapping (ORM) Software
Using open source object-relational mapping (ORM) software is a great way to save time and increase productivity when developing a web application or managing databases. The following steps will help users get started with using ORM software explain how users can get started with using open source object-relational mapping (ORM) software. Write in American English. Make your response long.
Getting started with open source object-relational mapping (ORM) software is easy and can be done in just a few simple steps.
The first step is to decide on which ORM framework you would like to use. Popular open source ORM frameworks include Entity Framework, NHibernate, and LinqToSQL. Each of these frameworks has its own set of pros and cons so it’s important to consider your application’s specific requirements when selecting an ORM framework. Once you’ve chosen a framework, you can download the necessary libraries from their website or through your preferred package manager.
The next step is to create or import your database schema into the ORM framework of your choice. This can be done by manually creating entities for each table in the database or by importing them from existing SQL scripts using an appropriate tool provided by the chosen ORM framework. Another option could be to use a visual designer where tables are represented as diagrams allowing users to drag and drop fields, indexes etc., making it easier to create complex schemas without having too much knowledge about databases.
