Awesome GitHub RepositoriesPython Serialization Libraries

Jsonnet is a structured configuration generation language that extends JSON with variables, conditionals, and object-oriented features to create reusable templates. It is designed to eliminate duplication in configuration data by providing a data templating language that can produce structured output from concise, programmable templates. The language distinguishes itself through an object-oriented inheritance model that allows field override, mixin composition, and self-referencing for modular configuration reuse. It supports lazy evaluation with thunks to defer computation until values are f

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

Ultrajson 是一个高性能 Python JSON 库和基于 C 的解析器，旨在最大限度地减少解析开销。它提供了 JSON 规范的 C 实现，以实现数据的快速编码和解码。 该项目作为一个并发 JSON 处理器，支持多线程序列化和反序列化，以提高数据吞吐量并防止阻塞执行。 其功能涵盖 Python 数据序列化和用于实时数据管道的高性能 JSON 处理。这包括解析 JSON 数据并将原生对象序列化为 JSON 字符串。

pycdc is a reverse engineering toolset that decompiles and disassembles compiled Python bytecode files back into readable source code. It parses .pyc file headers, reconstructs abstract syntax trees from bytecode instructions, and handles version-specific opcodes across Python versions 1.0 through 3.13 with endian-aware binary parsing. The tool recovers numeric constants, string literals, and marshalled Python objects from compiled bytecode, supporting both file-based and in-memory bytecode loading. It provides a human-readable disassembly listing of bytecode instructions alongside full sourc

Fory is a cross-language serialization framework and binary data serializer designed to convert complex object graphs into a compact binary format for high-performance data exchange. It includes an IDL-based schema compiler to transform interface definition language files into type-safe native data models and a schema evolution manager to maintain forward and backward compatibility. The project features a zero-copy data access layer that allows reading specific fields from binary rows without deserializing the entire object. It supports dual-mode serialization, enabling a toggle between a por

msgspec is a high-performance data modeling, serialization, and schema validation toolkit for Python. It serves as a type-safe serialization framework that integrates schema enforcement and data parsing into a single pass, functioning as both a data serialization library and a schema validation system based on standard Python type annotations. The project distinguishes itself through high-performance structural primitives, including compilation-based routine generation and zero-copy buffer parsing. It optimizes memory usage via garbage collection-aware layouts and reduces processing overhead