Ultrajson Alternatives

ultrajson reviews and mentions

• Ultimate Guide to JSON Parsing in Python
  3 projects | dev.to | 3 Jan 2025

  So json is reliable and powerful though not as fast as some other community json libraries like ujson or orjson which are further optimized for speed.

• orjson: Fast, correct Python JSON lib supporting dataclasses, datetimes, NumPy
  2 projects | news.ycombinator.com | 20 Aug 2024

  Written in Rust!

  TIL ujson is basically deprecated and they recommend switching to orjson https://github.com/ultrajson/ultrajson

  > UltraJSON's architecture is fundamentally ill-suited to making changes without risk of introducing new security vulnerabilities. As a result, this library has been put into a maintenance-only mode. Support for new Python versions will be added and critical bugs and security issues will still be fixed but all other changes will be rejected. Users are encouraged to migrate to orjson which is both much faster and less likely to introduce a surprise buffer overflow vulnerability in the future.

• Processing JSON 2.5x faster than simdjson with msgspec
  5 projects | /r/Python | 3 Oct 2022

  ujson

• Benchmarking Python JSON serializers - json vs ujson vs orjson
  2 projects | dev.to | 25 May 2022

  For most cases, you would want to go with python’s standard json library which removes dependencies on other libraries. On other hand you could try out ujsonwhich is simple replacement for python’s json library. If you want more speed and also want dataclass, datetime, numpy, and UUID instances and you are ready to deal with more complex code, then you can try your hands on orjson

• The fastest tool for querying large JSON files is written in Python (benchmark)
  16 projects | news.ycombinator.com | 12 Apr 2022

  I asked about this on the Github issue regarding these benchmarks as well.

  I'm curious as to why libraries like ultrajson[0] and orjson[1] weren't explored. They aren't command line tools, but neither is pandas right? Is it perhaps because the code required to implement the challenges is large enough that they are considered too inconvenient to use through the same way pandas was used (ie, `python -c "..."`)?

  [0] https://github.com/ultrajson/ultrajson

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