python3-orjson binary package in openKylin Huanghe V3.0 riscv64

 Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
 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.
 .
 Its features and drawbacks compared to other Python JSON libraries:
 .
  * serializes `dataclass` instances 40-50x as fast as other libraries
  * serializes `datetime`, `date`, and `time` instances to RFC 3339 format,
    e.g., "1970-01-01T00:00:00+00:00"
  * serializes `numpy.ndarray` instances 4-12x as fast with 0.3x the memory
    usage of other libraries
  * pretty prints 10x to 20x as fast as the standard library
  * serializes to `bytes` rather than `str`, i.e., is not a drop-in replacement
  * serializes `str` without escaping unicode to ASCII, e.g., "好" rather than
  "\\\u597d"
  * serializes `float` 10x as fast and deserializes twice as fast as other
    libraries
  * serializes subclasses of `str`, `int`, `list`, and `dict` natively,
  requiring `default` to specify how to serialize others
  * serializes arbitrary types using a `default` hook
  * has strict UTF-8 conformance, more correct than the standard library
  * has strict JSON conformance in not supporting Nan/Infinity/-Infinity
  * has an option for strict JSON conformance on 53-bit integers with default
    support for 64-bit
  * does not provide `load()` or `dump()` functions for reading from/writing to
    file-like objects

Publishing history

Date Status Target Pocket Component Section Priority Phased updates Version
  2026-08-19 09:40:26 UTC Published openKylin Huanghe V3.0 riscv64 proposed main python Optional 3.11.5-ok1
  • Published
  • Copied from openkylin huanghe-release riscv64 in anything3.0