pysimdjson
Jansson
| pysimdjson | Jansson | |
|---|---|---|
| 6 | 6 | |
| 629 | 2,977 | |
| - | - | |
| 5.3 | 7.1 | |
| 3 months ago | 16 days ago | |
| Python | C | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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pysimdjson
- Analyzing multi-gigabyte JSON files locally
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I Use C When I Believe in Memory Safety
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
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Processing JSON 2.5x faster than simdjson with msgspec
simdjson
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[package-find] lsp-bridge
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?
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The fastest tool for querying large JSON files is written in Python (benchmark)
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`.
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How I cut GTA Online loading times by 70%
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.
Jansson
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A good C library to parse json data
I'm a fan of jansson easy to use and great documentation
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jemi: a compact JSON serializer for embedded systems
Context: I needed to emit rather complex compound JSON data for a C-based project I'm working on. I could do it all with sprintf(), but it got messy quickly. I looked at available libraries such as jansson and CCAN's json, but they both used malloc(), which isn't an option in my case.
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How can I parse JSON with C?
I find jansson quite usable and minimal: https://github.com/akheron/jansson
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Good json libraries?
JanSON has been really good for my uses. Simple, intuitive, fast.
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How I cut GTA Online loading times by 70%
I don't see why something like Jansson wouldn't.
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C Deep
Jansson - Library for encoding, decoding and manipulating JSON. MIT
What are some alternatives?
orjson - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
json-c - https://github.com/json-c/json-c is the official code repository for json-c. See the wiki for release tarballs for download. API docs at http://json-c.github.io/json-c/
cysimdjson - Very fast Python JSON parsing library
cJSON - Ultralightweight JSON parser in ANSI C
ultrajson - Ultra fast JSON decoder and encoder written in C with Python bindings
RapidJSON - A fast JSON parser/generator for C++ with both SAX/DOM style API
Fast JSON schema for Python - Fast JSON schema validator for Python.
libjson - a JSON parser and printer library in C. easy to integrate with any model.
lupin is a Python JSON object mapper - Python document object mapper (load python object from JSON and vice-versa)
JSMN - Jsmn is a world fastest JSON parser/tokenizer. This is the official repo replacing the old one at Bitbucket
PyValico - Small python wrapper around https://github.com/rustless/valico
JsonCpp - A C++ library for interacting with JSON.