Open-source alternatives to Colfer

Bond was a cross-platform framework for working with schematized data. The open-source project ended on March 31, 2025.

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

Marshmallow is a Python data serialization library and validation framework. It functions as a bridge that transforms complex application objects into primitive data types for storage or network transmission and vice versa. The library utilizes a schema-based approach to validate that incoming data conforms to specific types and constraints. It employs a two-way transformation pipeline consisting of separate load and dump phases to handle deserialization and serialization. The framework supports class-based schema definitions with declarative field validation and recursive schema nesting for

idiomatic codec and rpc lib for msgpack, cbor, json, etc. msgpack.orgGo

Simple Binary Encoding (SBE) - High Performance Message Codec

mapstructure is a reflection-based library for the bidirectional encoding and decoding of generic map data into native typed Go structures. It functions as a tool for transforming loosely typed map values into specific structs and encoding those structs back into maps. The library utilizes Go reflection to map generic data keys to struct fields during runtime. It supports the transformation of untyped data from dynamic sources or configuration files into type-safe native structures. The mapping process includes recursive traversal of nested maps and slices, as well as the use of struct tags

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 high-performance JSON library for Go, serving as a replacement for the standard encoding/json package. It provides a serialization engine for encoding and decoding data structures, alongside a schemaless parser for extracting specific values from JSON blobs using paths. The library distinguishes itself through a focus on reducing CPU and memory overhead. It implements a high-performance encoder that utilizes buffer reuse and reduced float precision to increase data throughput. Broad capability areas include data serialization, high-performance JSON processing, and schema-le

Rapid YAML - a library to parse and emit YAML, and do it fast.

Caffeine is a high-performance caching library for the Java virtual machine designed to manage object lifecycles within the application heap. It functions as a thread-safe, memory-resident data store that reduces latency by keeping frequently accessed objects available for immediate retrieval. The library distinguishes itself through a sophisticated eviction strategy that balances recency and frequency to determine which entries to retain. It utilizes a frequency-based admission policy to evaluate the historical access patterns of new data, ensuring that the cache remains populated with the m

Polymorphic serialization for .NET

Extended pickling support for Python objects

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

Transducers are composable algorithmic transformations. They are independent from the context of their input and output sources and specify only the essence of the transformation in terms of an individual element. Because transducers are decoupled from input or output sources, they can be used…

uPickle: a simple, fast, dependency-free JSON & Binary (MessagePack) serialization library for Scala

Library for creating In-memory circular buffers that use direct ByteBuffers to minimize GC overhead

Port of LevelDB to Java

A fast object pool for the JVM