orjson orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard j
simplejson simplejson is a simple, fast, complete, correct and extensible JSON http://json.org encoder and decoder for Python 3.3+ with legacy suppo
marshmallow: simplified object serialization marshmallow is an ORM/ODM/framework-agnostic library for converting complex datatypes, such as objects, t
UltraJSON UltraJSON is an ultra fast JSON encoder and decoder written in pure C with bindings for Python 3.6+. Install with pip: $ python -m pip insta
FlatBuffers FlatBuffers is a cross platform serialization library architected for maximum memory efficiency. It allows you to directly access serializ
dill serialize all of python About Dill dill extends python's pickle module for serializing and de-serializing python objects to the majority of the b
Protocol Buffers - Google's data interchange format Copyright 2008 Google Inc. https://developers.google.com/protocol-buffers/ Overview Protocol Buffe
jsonpickle jsonpickle is a library for the two-way conversion of complex Python objects and JSON. jsonpickle builds upon the existing JSON encoders, s
cloudpickle cloudpickle makes it possible to serialize Python constructs not supported by the default pickle module from the Python standard library.
pysimdjson Python bindings for the simdjson project, a SIMD-accelerated JSON parser. If SIMD instructions are unavailable a fallback parser is used, m
MessagePack for Python What's this MessagePack is an efficient binary serialization format. It lets you exchange data among multiple languages like JS
srsly: Modern high-performance serialization utilities for Python This package bundles some of the best Python serialization libraries into one standa
ASN.1 library for Python This is a free and open source implementation of ASN.1 types and codecs as a Python package. It has been first written to sup
Corset is a web-based data selection portal that helps you getting relevant data from massive amounts of parallel data. So, if you don't need the whole corpus, but just a suitable subset (indeed, a cor(pus sub)set, this is what Corset will do for you--and the reason of the name of the tool.
SCW-JSON-TOOL Crappy tool to convert .scw files to .json and vice versa. How to use Run main.py file with two arguments: python main.py scw2json or j