pySHACL VS pysimdjson

Compare pySHACL vs pysimdjson and see what are their differences.

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pySHACL pysimdjson
1 3
173 540
2.9% -
7.8 5.4
11 days ago 29 days ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pySHACL

Posts with mentions or reviews of pySHACL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-15.
  • Python tools for the semantic web
    3 projects | dev.to | 15 Feb 2021
    pySHACL is a pure Python module which allows for the validation of RDF graphs against Shapes Constraint Language (SHACL) graphs. It is built on top of rdflib.

pysimdjson

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 2022-05-23.
  • [package-find] lsp-bridge
    5 projects | reddit.com/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 | reddit.com/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 pySHACL and pysimdjson you can also consider the following projects:

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

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

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.

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

serpy - ridiculously fast object serialization

cysimdjson - Very fast Python JSON parsing library

python-rapidjson - Python wrapper around rapidjson

PyLD - JSON-LD processor written in Python