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  1. pypi.org › project › orjsonorjson - PyPI

    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 json library or other third-party libraries. It serializes dataclass , datetime , numpy , and UUID instances natively.

  2. pypi.org › project › simplejsonsimplejson - PyPI

    9 Μαΐ 2011 · simplejson is a simple, fast, complete, correct and extensible JSON <http://json.org> encoder and decoder for Python 3.3+ with legacy support for Python 2.5+. It is pure Python code with no dependencies, but includes an optional C extension for a serious speed boost.

  3. Gson - A Java library to convert JSON to Java objects and vice-versa. Jackson - A multi-purpose Java library for processing JSON data format. moshi - A modern JSON library for Android and Java.

  4. 18 Ιουν 2023 · 4.5k stars. JSON in Java · JSON is a light-weight, language independent, data interchange format. See http://www.JSON.org/ The files in this package implement JSON encoders/decoders in Java. It also includes the capability to convert between JSON and XML, HTTP headers, Cookies, and CDL.

  5. pypi.org › project › jsonlibjsonlib - PyPI

    9 Φεβ 2010 · JSON is a lightweight data-interchange format. It is often used for exchanging data between a web server and user agent. This module aims to produce a library for serializing and deserializing JSON that conforms strictly to RFC 4627. For the Python 3 version of jsonlib, see jsonlib-python3.

  6. 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 json library or other third-party libraries. It serializes dataclass , datetime , numpy , and UUID instances natively.

  7. anaconda.org › anaconda › orjsonOrjson - Anaconda.org

    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 json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively.

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