Open Source Linux Object-Relational Mapping (ORM) Software - Page 2
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Object-Relational Mapping (ORM) Software for Linux
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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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Automated Business Logic
Transaction logic engine for JPA/Hibernate
ABL is a transaction logic engine: it allows you to declare complex, multi-table transaction logic for your persistent objects, using simple declarative annotations. ABL operates as a HIbernate/JPA event listener to eliminate recoding and automate integrity. -
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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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This is my attempt at creating an API similar to pythons Elixir for interfacing with SQL databases in C++
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CCM (C# Collections Mapper)
The CCM is a mini ORM, working with the database and C# collections
CCM is a solution for the data management layer in the combination of Sql Server with a C # application. In whole this is a strongly typed entity mapper projecting the application's business logics onto database tables using T-SQL stored procedures. CCM allows you to implement fairly complex data structures in your application, without bothering about difficult and tedious questions of data acquisition and conversion issue, allowing you to pay more attention to the develop of business logic and UI. There no need to worry about migrations, context, etc. At the same time, ORM completely relieves the developer from direct communicating with ADO - datasets, tables, rows, and other data aceess component, to track connections, commands or operate with adapters because ORM works at a higher level of data abstraction. At the same time you will be completely protected from memory leaks and free to create complexity application logic at the primary data level. -
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A powerful 100% JAVA flat file processing ORM framework. Giving the ability to abstract the processing of flat files from business logic, using Hibernate style mapping constructs. Supports fixed length and delimited (e.g CSV) file formats.
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Chloe
A lightweight and high-performance Object/Relational Mapping(ORM)
Chloe is a lightweight Object/Relational Mapping(ORM) library. The query interface is similar to LINQ. You can query data like LINQ and do any things(Join Query | Group Query | Aggregate Query | Insert | Batch Update | Batch Delete) by lambda with Chloe.ORM. Pay attention to splicing lambda expression trees by yourself, do not wrap your variables with ConstantExpression, otherwise, non-parameterized sql will be generated, and there is a risk of sql injection! If the entity does not explicitly specify any auto-increment columns and the primary key is of type Int16, Int32, or Int64, the default primary key is the auto-increment column. If it is not an auto-increment column, it needs to be marked with the attribute NonAutoIncrementAttribute. -
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Conserve is no longer hosted at SourceForge, we have moved to GitHub: https://github.com/ConserveORM/main
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Criteria2JPQL API is an adaptation of the powerful Hibernate Criteria API to standard JPA API enabling the compatibility with any orm tool. Against the native SQL queries created by Hibernate Criteria, Criteria2JPQL outputs standard JPQL queries.
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Modified AMFPHP with advanced authentication, file management, view templating, automated ORM MySQL interface while maintaining a fast and easy "drag and drop to FTP" installation. Get the Free UI at http://cubehenge.org/?pageName=Download
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DBvolution
Java library to remove Object/Relation Impedance
Now stored at https://github.com/gregorydgraham/DBvolution Available from Maven Central: nz.co.gregs.dbvolution Makes relational data easy and fast to use with semantic annotations and encapsulated datatypes. Simple declaration of a DB table: @DBTableName("mytable") public class MyTable extends DBRow { @DBColumn("numeric_code") @DBForeignKey(Code.class) private DBNumber numericCode = new DBNumber(); @DBColumn("uid_mytable") @DBPrimaryKey @DBAutoIncrement private DBNumber uidMyTable = new DBNumber(); } Easy Gets: List<MyTable> myRows = myDB.get(new MyTable()); MyTable row = myDB.getDBTable(new MyTable()).getByPrimaryKey(61176904); Natural and Outer Joins and Criteria: CarCo carCo = new CarCo(); carCo.name.isLiterally("GM"); List<DBQueryRow> results = myDB.get(carCo, new Marque()); dbQuery.addOptional(new CarModel()); Easy debugging: query.getSQLForQuery(); Simple processing: db.print(query.getAllRows()); List<Marque> marques = query.getAll -
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DCLPS
DCLPS: database control loading and prompting system
FRESHHH DCLPS can be considered an object relational mapping system ORM framework. It is robust well structured web oriented programming system that allows to create web systems (web sites) just by coding javascript. That is possible cause it uses a few server php script files that are requested by javascript to get some results. The key of this system is its structure that has to deal with nested tree objects and how it is implemented in the relational database. -
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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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Data/Document WF
Data/Document Work Flow application
Data/Document Work Flow is a set of .NET C# libraries to build simple cross-platform information system: - DataWF.Common - collections, reflections, io and networks helpers - DataWF.Data - cross RDBMS ORM - DataWF.Gui - Xwt based desktop UI - DataWF.Data.Gui - Database desktop UI - DataWF.Module.Flow - Document work flow module - DataWF.Mudule.FlowGui - Configure, create, edit, send document throw the flow Sources: https://github.com/alexandrvslv/datawf -
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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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DbExtensions
Extensions methods for ADO.NET, CRUD and dynamic SQL components.
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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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DtoManager
Java DTO Manager/Converter
This java component will help you to convert JPA entities to DTO/View classes and vise versa. Can be very helpfull when developing GWT backend services or backend services for Flex apps, or REST services. -
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Extensible repository and context-per-request infrastrucuture for .NET projects using Entity Framework.
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A lightweight framework to create and process metadata based, type-safe, debugable, readable, and maintainable queries for JPA 2.0. Example: CriteriaComposer(Student.class).select(AggregateFunction.SUM, Student_.unit).groupBy(Student_.name);
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Entity Framework Sync
Multi-Client Synchronization for Entity Framework
Enables client/server applications to auto-sync loaded entites when changed in the database. Works with Entity Framework Model-first and Code-first approaches. -
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Essential ORM Modeler
Design your ORM application in a platform independent way.
Essential ORM Modeler allows you to model your application using an extension of UML class models, generating code for distinct ORM frameworks (JPA, SQLAlchemy or Ruby´s ActiveRecord). The notation, based on persistence patterns, is platform independent. This tool is a plugin of eclipse.
