PyValico vs pysimdjson

PyValico

Small python wrapper around https://github.com/rustless/valico (by s-knibbs)

#Serialization

Source Code

pysimdjson

Python bindings for the simdjson project. (by TkTech)

#Serialization #Python #Simd #JSON #Simdjson #pysimdjson #python-bindings

Source Code

pysimdjson.tkte.ch

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PyValico		pysimdjson
	Project
0	Mentions	4
5	Stars	564
-	Growth	-
0.0	Activity	2.9
over 3 years ago	Latest Commit	17 days ago
Rust	Language	Python
MIT License	License	GNU General Public License v3.0 or later

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.

PyValico

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.

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 2022-10-03.

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

simdjson
[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.