orjson
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy (by ijl)
ojg
Optimized JSON for Go (by ohler55)
Our great sponsors
| orjson | ojg | |
|---|---|---|
| 17 | 17 | |
| 5,540 | 794 | |
| - | - | |
| 8.3 | 7.0 | |
| 7 days ago | 15 days ago | |
| Python | Go | |
| 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.
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.
orjson
Posts with mentions or reviews of orjson.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-07.
- JSON dans les projets data science : Trucs & Astuces
-
JSON in data science projects: tips & tricks
orjson is the fastest JSON library available for python. It natively manages dataclass objects, datetime, numpy and UUID objects.
- Segunda linguagem
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Litestar 2.0
As we began venturing down that road, a few things emerged that would constitute significant changes to some of the core parts of Litestar, but there were two things in particular that started a chain reaction of changes by opening up further possibilities: The new DTOs and our switch from orjson to msgspec.
- orjson: Fast, correct Python JSON lib (supports dataclasses, datetimes, numpy)
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Starlite development updates January ’23
In version 1.45.0, we introduced msgspec as our serialization backend, replacing orjson. This had some immediate performance benefits, but that's not the main reason we made the switch.
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Making Python classes serializable to/from JSON
Doesn't orjson do that already?
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Processing JSON 2.5x faster than simdjson with msgspec
orjson
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Benchmarking Python JSON serializers - json vs ujson vs orjson
For most cases, you would want to go with python’s standard json library which removes dependencies on other libraries. On other hand you could try out ujsonwhich is simple replacement for python’s json library. If you want more speed and also want dataclass, datetime, numpy, and UUID instances and you are ready to deal with more complex code, then you can try your hands on orjson
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Json.dump new line with multiple values in key value pair.
Try https://github.com/ijl/orjson. Not exactly sure if that can help.
ojg
Posts with mentions or reviews of ojg.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-07.
-
Interactive Examples for Learning Jq
I found Jq to be difficult to use which is why Oj, https://github.com/ohler55/ojg is based on JSONPath. There still are a lot of options but it only takes a couple of help screens to figure out what the options are.
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Building a high performance JSON parser
You might want to take a look at https://github.com/ohler55/ojg. It takes a different approach with a single pass parser. There are some performance benchmarks included on the README.md landing page.
-
A Journey building a fast JSON parser and full JSONPath
I like the "Simple Encoding Notation" (SEN) of the underlying library: https://github.com/ohler55/ojg/blob/develop/sen.md
- Oj Is on Tap
- SEN: Simple Encoding Notation
- The fastest tool for querying large JSON files is written in Python (benchmark)
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FX: An interactive alternative to jq to process JSON
Another alternative is the oj app (ojg/cmd/oj) which is part of https://github.com/ohler55/ojg. It relies on JSONPath for extraction and manipulation of JSON.
- Go 1.17 Release Notes
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OjG now has a tokenizer that is almost 10 times faster than json.Decode
I promise to add more examples but in the mean time there are the test files. The one for Unmarshal is https://github.com/ohler55/ojg/blob/develop/oj/unmashall_test.go
- The Pretty JSON Revolution
What are some alternatives?
When comparing orjson and ojg you can also consider the following projects:
ujson
jsonparser - One of the fastest alternative JSON parser for Go that does not require schema
ormsgpack - Msgpack serialization/deserialization library for Python, written in Rust using PyO3 and rust-msgpack. Reboot of orjson. msgpack.org[Python]
jsonic - All you need with JSON
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
fastjson - Fast JSON parser and validator for Go. No custom structs, no code generation, no reflection
pysimdjson - Python bindings for the simdjson project.
ask - A Go package that provides a simple way of accessing nested properties in maps and slices.
cookiecutter-fastapi-firestore
jettison - Highly configurable, fast JSON encoder for Go
mashumaro - Fast and well tested serialization library
json2go - Create go type representation from json