Projects sharing features with ZeroFormatter

Fury is a multi-language binary serialization framework designed for encoding domain objects and complex graphs to facilitate cross-language data exchange. It includes an interface definition language compiler that translates schema definitions into idiomatic native types and serialization boilerplate across multiple languages. The project distinguishes itself through a zero-copy binary reader that allows specific fields to be accessed without deserializing the entire object, as well as an object graph serializer that preserves circular references and referential integrity. It also features a

Arrow is a cross-language development platform for in-memory data. It provides a standardized, language-independent columnar memory format designed to accelerate analytical operations and improve memory efficiency on modern computing hardware. By utilizing a schema-driven approach, the framework enables the efficient organization of both flat and nested data structures. The project functions as an analytical data processing engine that facilitates high-performance computation directly on memory-resident datasets. It distinguishes itself through a zero-copy architecture, which allows multiple

Buf is a toolchain for managing the full lifecycle of Protocol Buffers schemas. It provides a set of tools for schema governance, including linting to enforce style guides, a breaking change detector to ensure backward compatibility, and a system for producing language-specific source code via local or remote plugins. The project distinguishes itself through a remote schema registry that centralizes the hosting, versioning, and distribution of Protocol Buffers modules. This registry allows for server-side enforcement of governance policies, such as blocking updates that introduce backward-inc

Easy to use, easy to extend and high-performance library for CSV parsing with .NET

Fast Binary Encoding is ultra fast and universal serialization solution for C++, C#, Go, Java, JavaScript, Kotlin, Python, Ruby, Swift

Yet another protocol library like google protocol buffers , but simple and fast.

MemoryPack is a high-performance binary serialization library for C# and Unity. It provides a zero-allocation data pipeline and a schema-evolution framework designed to minimize memory allocations and encoding overhead. The project utilizes compile-time source generators to avoid runtime reflection and implements a zero-encoding binary format for maximum throughput. It distinguishes itself through a zero-allocation approach that reuses object instances to reduce garbage collection pressure and copies the memory layout of unmanaged structs directly to binary streams. The library covers binary

Push based .NET Streams

Polymorphic serialization for .NET

Kryo is a Java binary serialization framework and object cloning library used to convert Java objects into a compact binary format and restore them from bytes. It provides a system for creating deep or shallow copies of complex object graphs without requiring binary conversion. The project utilizes variable-length integer encoding and integer-ID class registration to reduce the size of serialized data. It handles complex object graphs through circular reference tracking to prevent data duplication and infinite loops. To maintain long-term data viability, it includes schema evolution managemen

This project is a Protocol Buffers Go compiler and code generation framework that translates schema definitions into optimized Go structures and reflection-free serialization methods. It includes a gRPC service generator for producing client and server communication code and a serialization performance toolkit for generating automated benchmarks and test suites. The framework features a plugin-based system for transforming data definitions into source code with custom field mapping and struct tag injection. It allows for custom type mapping and struct type overriding to link data fields to sp

This project is a Protocol Buffers implementation for Go, providing a binary serialization framework to convert native data structures into a compact binary format for efficient network transmission and storage. It functions as a language bindings generator, utilizing a compiler plugin to create Go source code from platform-neutral protocol buffer definitions. The implementation includes a JSON data mapper that transforms structured binary messages into JSON format to facilitate compatibility with web services and external APIs. It also enables cross-language data exchange by using a common s

EDI Serializer/Deserializer. Supports EDIFact, X12 and TRADACOMS formats

Fast, idiomatic C# implementation of Flatbuffers

Newtonsoft.Json is a data processing utility for the .NET ecosystem designed to facilitate the transformation and exchange of information. It functions as a serialization library and object mapping framework, enabling the conversion of complex application objects into formatted JSON strings and the reconstruction of structured objects from raw JSON data. The library distinguishes itself through a flexible architecture that supports both strongly-typed class mapping and a dynamic object model for schema-less data manipulation. It employs reflection-based metadata mapping to automate property a

A declarative serialization framework for controlling formatting of data at the byte and bit level using field bindings, converters, and code.

CsvHelper is a library for reading and writing comma-separated value files by mapping data to custom class objects. It functions as a parsing library and data mapper that converts flat-file text into structured data objects and serializes internal data sets back into standard CSV files. The project emphasizes memory efficiency through a parser that optimizes resource consumption. It utilizes field value caching and an interned string cache to store repetitive values, which reduces memory overhead when processing large datasets. The library provides a configuration-driven parsing engine that