PyValico VS pysimdjson

Compare PyValico vs pysimdjson and see what are their differences.


Small python wrapper around (by s-knibbs)
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PyValico pysimdjson
- 6
5 631
- -
0.0 5.3
almost 5 years ago 4 months ago
Rust Python
MIT License GNU General Public License v3.0 or later
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Posts with mentions or reviews of PyValico. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning PyValico yet.
Tracking mentions began in Dec 2020.


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 | | 18 Mar 2023
  • I Use C When I Believe in Memory Safety
    5 projects | | 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.


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

What are some alternatives?

When comparing PyValico and pysimdjson you can also consider the following projects:

Fast JSON schema for Python - Fast JSON schema validator for Python.

orjson - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy

Trafaret - Ultimate transformation library that supports validation, contexts and aiohttp.

cysimdjson - Very fast Python JSON parsing library

jsons - 🐍 A Python lib for (de)serializing Python objects to/from JSON

ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings

cattrs - Composable custom class converters for attrs.

pySHACL - A Python validator for SHACL

lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)

jsonschema - JSON Schema validation library

marshmallow - A lightweight library for converting complex objects to and from simple Python datatypes.