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Libraries that map data between two different memory-resident object types rather than between a database and an object.
Distinct from Object Mappers: Distinct from Object Mappers [f11_mt2] which are typically ORM-focused (database to object).
Explore 15 awesome GitHub repositories matching data & databases · Object-to-Object Mappers. Refine with filters or upvote what's useful.
ffmpeg-python is a Python wrapper that translates programmatic method calls into command-line arguments for executing FFmpeg media processing tasks. It functions as a multimedia transcoding interface and a media stream capture tool, allowing for the recording of live audio and video from hardware devices and network sources. The library features a fluent interface for constructing complex directed graphs of audio and video filters through method chaining. It also includes an FFprobe metadata extractor that retrieves structured technical properties from media files and returns them as Python d
Maps raw string output from probing tools into structured Python object representations.
AutoMapper is a .NET object-to-object mapper designed to transfer data between different object types. It functions as an automated mapping library that reduces the need for manual property assignments by using naming conventions to match properties between classes. The library focuses on automating data projection and the conversion of internal domain models into data transfer objects. It supports layered architecture decoupling by mapping data between domain entities and view models. The system employs convention-based member matching, flattening-based property projection, and recursive ty
Provides a library for transferring data between different object types in .NET using convention-based mapping.
AutoMapper is a strongly typed object-to-object mapper for .NET. It provides utilities for copying data between different object representations using convention-based property matching to eliminate manual assignment code. The library automates the transformation of data models by matching source and destination properties based on shared names and types. It supports the conversion of internal domain models into data transfer objects, facilitating data movement between presentation, business, and data access layers. The system employs reflection-based type discovery and recursive object grap
Maps data between two different memory-resident object types rather than between a database and an object.
MJExtension is a JSON serialization library and model mapping framework used to convert data between JSON strings and structured model objects. It functions as an object data mapper that handles the encoding and decoding of complex object hierarchies for network transmission and storage. The framework is a non-intrusive data mapper that uses reflection and runtime inspection to map raw data strings to application objects. This approach allows for data transformation without requiring base class inheritance, decorators, or extensions to the underlying model classes. The system supports recurs
Maps raw data strings into nested objects and arrays within application models.
Mapper is a MyBatis-specific library that provides annotation-driven object-relational mapping, enabling single-table CRUD operations without writing SQL or XML. It uses Java reflection and field-level annotations to map entity fields to database columns, configure primary key generation strategies, and generate mapper interfaces and model classes from database schemas. The library distinguishes itself through several practical capabilities. It includes a safe operation guard that blocks delete and update calls lacking query conditions, preventing accidental full-table modifications. Its exam
Extends base mapper interfaces with custom methods for reusable query logic across entities.
This library is a YAML encoder and decoder for native Go data structures. It provides the tools necessary to transform internal data into YAML formatted text and convert YAML input streams back into structured data. The parser includes built-in protections against resource exhaustion attacks by enforcing limits on document depth and alias resolution. It also ensures deterministic output by employing consistent key sorting for maps. The project covers serialization and deserialization workflows, including struct mapping and custom marshaling interfaces. It also handles input encoding detectio
Maps YAML data to typed Go structs using inline annotations to link keys to embedded types.
Goja is a JavaScript engine and ECMAScript compliant interpreter implemented entirely in Go. It serves as an embedded scripting engine that allows Go applications to execute JavaScript code and integrate a programmable scripting layer without relying on Cgo or external native dependencies. The project functions as a bridge between Go and JavaScript, enabling bidirectional data exchange and function invocation. It allows Go hosts to expose native structs, slices, and maps as JavaScript objects and arrays, while providing mechanisms to export script values and functions back into native Go type
Connects custom host-language objects and arrays to the script environment to manage properties.
js-yaml is a JavaScript library providing a programmatic interface for parsing and dumping YAML data. It functions as a parser and serializer that converts YAML strings into JavaScript objects and transforms JavaScript objects back into YAML format. The library includes a command-line interface for parsing or dumping YAML data via direct input or data pipes. It also features an abstract syntax tree transformer to modify the structure of data during serialization. The project provides capabilities for multi-document processing and the definition of custom schemas and tags to handle specialize
Transforms YAML strings into JavaScript objects using configurable schemas and depth limits.
NPOI is a pure .NET library for reading and writing Microsoft Office files in both legacy binary (.xls) and modern OpenXML (.xlsx, .docx) formats, operating entirely without requiring Microsoft Office or COM interop. It runs on Windows and Linux under .NET Standard and .NET Framework runtimes, using only managed code to parse and generate Office documents. The library provides comprehensive spreadsheet capabilities, including creating, editing, and reading Excel workbooks in both .xls and .xlsx formats, with support for cell formatting, styles, and formulas. It includes a streaming row-by-row
Populates Word document tables from object collections using a template-based mapper library.
Mapster este un mapper obiect-la-obiect .NET și un motor de mapare de înaltă performanță utilizat pentru transformarea datelor între diferite modele de obiecte. Funcționează ca un instrument de transfer de date type-safe și un instrument de proiecție a interogărilor LINQ pentru a muta datele între logica internă și structurile de date externe. Motorul utilizează expresii de mapare compilate și cod mașină pentru a reduce overhead-ul în timpul conversiei obiectelor. Permite în mod specific proiectarea surselor de date interogabile direct în tipurile de destinație pentru a optimiza regăsirea din baza de date. Setul de instrumente acoperă generarea obiectelor de transfer de date (DTO), transformarea datelor imutabile și proiecția rezultatelor interogărilor. Include capabilități pentru maparea colecțiilor imutabile, păstrarea referințelor obiectelor și injectarea parametrilor de runtime în procesul de transformare.
Provides a high-performance engine for copying values between two different memory-resident object types.
Rhino este un motor JavaScript bazat pe Java care implementează un strat de compatibilitate ECMAScript pentru execuție în interiorul unei mașini virtuale Java (JVM). Servește ca motor de scripting încorporat și ca punte de scripting, permițând integrarea și executarea codului JavaScript în aplicațiile Java. Proiectul facilitează comunicarea directă între limbaje prin maparea claselor și obiectelor Java într-un mediu JavaScript. Această integrare permite scripturilor să interacționeze cu serviciile interne ale sistemului și cu obiectele gazdă native printr-un mecanism de mapare dedicat. Motorul optimizează performanța prin compilarea JavaScript în bytecode Java și suportă un model de execuție dual pentru a echilibra timpul de pornire și viteza de rulare. Include capabilități pentru serializarea datelor între limbaje, procesarea XML și gestionarea contextelor de execuție izolate pentru sarcini concurente. Este furnizat un shell interactiv pentru editarea și depanarea logicii în timp real.
Binds internal Java data structures as JavaScript objects to allow script-based manipulation of native services.
Mapperly este un generator de surse C# utilizat pentru maparea de înaltă performanță de la obiect la obiect în .NET. Acesta funcționează ca o bibliotecă de mapare la momentul compilării care produce codul de transformare necesar în timpul procesului de build, eliminând nevoia de reflexie la runtime atunci când se convertesc modelele de domeniu în obiecte de transfer de date (DTO). Instrumentul se distinge prin oferirea unei validări diagnostice sigure din punct de vedere al tipurilor și impunerea unei mapări stricte, emițând avertismente pentru proprietățile nemapate la momentul compilării. Include capabilități specializate pentru gestionarea referințelor circulare și clonarea profundă pentru a menține identitatea obiectelor și a preveni buclele infinite în timpul transformărilor complexe. Proiectul acoperă o gamă largă de sarcini de transformare, inclusiv aplatizarea ierarhiilor de obiecte imbricate, conversia diverselor tipuri de colecții și span-uri, precum și maparea cuprinzătoare a enum-urilor între șiruri și tipuri primitive. De asemenea, suportă integrarea cu baza de date prin proiecția interogărilor, traducând definițiile de mapare în arbori de expresii pentru a optimiza preluarea câmpurilor din surse interogabile. Opțiunile de configurare permit fabrici de obiecte personalizate, excluderi la nivel de membru și integrarea logicii de mapare definite de utilizator. Codul sursă generat poate fi exportat într-un director configurabil pentru inspecție manuală și controlul versiunilor.
Generates code to transfer data between different .NET object types without manual assignment logic.
YamlDotNet is a YAML serialization library and data mapping tool for .NET. It functions as a parser and generator that converts between .NET objects and YAML formatted text for data storage and configuration. The project provides capabilities for YAML document parsing and data object mapping. It transforms YAML streams into low-level representations or high-level object models for programmatic analysis and converts structured data objects back into valid YAML strings. The library covers general data serialization and configuration file management, allowing application data structures to be m
Maps YAML keys to data properties to transform configuration strings into usable .NET objects.
This repository provides a comprehensive collection of functional code samples designed to demonstrate modern development patterns and architectural practices for the Android platform using Kotlin. It serves as a practical guide for implementing standard design patterns that decouple business logic from user interface components, ensuring that applications remain maintainable and testable. The project distinguishes itself by offering isolated, hands-on implementations of complex mobile programming tasks. It covers a wide range of capabilities, including asynchronous networking, local database
Transforms structured data from text strings into strongly typed programming objects for internal use.
Serde-yaml is a serialization library for the Rust programming language that facilitates the conversion of complex data structures into YAML format and the deserialization of YAML text into strongly typed objects. It functions as a data format converter, enabling the transformation of structured information between native language types and human-readable configuration files. The library integrates with the standard Rust serialization ecosystem to map arbitrary data types to and from the YAML format. By utilizing trait-based data mapping, it allows developers to manage application settings an
Converts YAML formatted text into native language data structures for use within application logic.