pysimdjson

Python bindings for the simdjson project. (by TkTech)

Pysimdjson Alternatives

Similar projects and alternatives to pysimdjson

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better pysimdjson alternative or higher similarity.

pysimdjson reviews and mentions

Posts with mentions or reviews of pysimdjson. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-18.
  • Analyzing multi-gigabyte JSON files locally
    14 projects | news.ycombinator.com | 18 Mar 2023
  • I Use C When I Believe in Memory Safety
    5 projects | news.ycombinator.com | 5 Feb 2023
    Its magic function wrapping comes at a cost, trading ease of use for runtime performance. When you have a single C++ function to call that will run for a "long" time, pybind all the way. But pysimdjson tends to call a single function very quickly, and the overhead of a single function call is orders of magnitude slower than with cython when being explit with types and signatures. Wrap a class in pybind11 and cython and compare the stack trace between the two, and the difference is startling.

    Ex: https://github.com/TkTech/pysimdjson/issues/73

  • Processing JSON 2.5x faster than simdjson with msgspec
    5 projects | /r/Python | 3 Oct 2022
    simdjson
  • [package-find] lsp-bridge
    5 projects | /r/emacs | 23 May 2022
    You are aware of simdjson being available in python if you really need some json crunching, albeit json module in Python is implemented in C itself, so I don't think understand why do you think Python is slow there?
  • The fastest tool for querying large JSON files is written in Python (benchmark)
    16 projects | news.ycombinator.com | 12 Apr 2022
    json: 113.79130696877837 ms

    While `orjson`, is faster than `ujson`/`json` here, it's only ~6% faster (in this benchmark). `simdjson` and `msgspec` (my library, see https://jcristharif.com/msgspec/) are much faster due to them avoiding creating PyObjects for fields that are never used.

    If spyql's query engine can determine the fields it will access statically before processing, you might find using `msgspec` for JSON gives a nice speedup (it'll also type check the JSON if you know the type of each field). If this information isn't known though, you may find using `pysimdjson` (https://pysimdjson.tkte.ch/) gives an easy speed boost, as it should be more of a drop-in for `orjson`.

  • How I cut GTA Online loading times by 70%
    7 projects | /r/programming | 28 Feb 2021
    I don't think JSON is really the problem - parsing 10MB of JSON is not so slow. For example, using Python's json.load takes about 800ms for a 47MB file on my system, using something like simdjson cuts that down to ~70ms.
  • A note from our sponsor - InfluxDB
    www.influxdata.com | 30 May 2024
    Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more →

Stats

Basic pysimdjson repo stats
6
631
5.3
4 months ago

Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com