Orjson vs msgspec I like msgspec for message deserialization and type validation. 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 version 3 serializes more types than version 2. Posts with mentions or reviews of orjson. If you’re only renaming a few fields, you might find configuring the new names as part of the field definition to be the simplest option. orjson Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy (by ijl) JSON Python Rust Serialization Datetime pyo3 dataclasses Deserialization Numpy In benchmarks msgspec decodes and validates JSON faster than orjson can decode it alone. msgspec also works well with other type-checking tooling like mypy and pyright, providing excellent editor integration. dataclass instances are now serialized by default and cannot be customized in a default function unless option=orjson. load多了一点，但收益巨大：同样的硬件条件，使用msgspec. decode的快源于两点： Compare orjson, msgspec, pydantic. They have two common uses: 1. This shows that msgspec is able to decode JSON faster when a schema is provided. We have used some of these posts to build our list of alternatives and similar projects. A good example, as per msgspec documentation. OPT_PASSTHROUGH_SUBCLASS. This is faster and more similar to the standard library. 23:30 So this is a pretty interesting distinction that you're calling out here. Intro. msgspec A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML (by jcrist) Jan 31, 2024 · It doesn't like how msgspec produces the schema because there isn't a type field at the root level. """ def render (self, content: Any) -> bytes: assert msgspec is not None, "msgspec must be installed to use MsgSpecJSONResponse" return msgspec. Is it? A date can become an epoch, a string, a list of year,day,month, a list of day,month,year. Compare orjson vs dacite and see what are their differences. Struct, which supports tagged unions. However, the HTTP part itself is one of the least expensive things in a request. The first one is from msgspec, while the second one is from pydantic v2, which works fine with the openai API. On this page. msgspec can serialize/deserialize JSON as fast (and frequently faster) as orjson, while also type checking the message and converting it into nice native python types. Write better code with AI Code review. The int32 and int64 types in PB always encode using 10 bytes, since the very last bit in these numbers holds the sign. The last one was on 2024-06-05. Support parametrizing Decoder types at runtime . Find and fix vulnerabilities orjson Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy (by ijl) JSON Python Rust Serialization Datetime pyo3 dataclasses Deserialization Numpy Write better code with AI Security. When used without schemas, msgspec is on-par with orjson (the next fastest JSON library). schema: generates a complete JSON Schema for a single type. In version 1. Large lists of floats are the main exception where orjson sneaks out ahead, but it's only a 5% difference. orjson is well engineered (as is the backing serde-json decoder), but any JSON decoder that isn't using naive algorithms is mostly bound by the cost of creating PyObjects. BSON defines more broad native types than the other two, and may be a better match to your object model, but this makes it more verbose. Subclasses of str, int, dict, and list are now serialized. msgspec A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML (by jcrist) For this benchmark, msgspec is ~2. This shows that the readable msgspec implementation above is 1. It's even in the docs. msgspec does support unions. If you want even more wins in this area, give msgspec a try. msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. Sometimes it'd be useful to convert to/from "simpler" types (lists, di Dec 11, 2024 · 资源摘要信息:"msgspec是一个针对Python语言的高效且用户友好的MessagePack序列化库。MessagePack是一种快速的二进制序列化格式，它旨在将结构化数据序列化成二进制格式，这样可以比JSON等文本格式更快且更小。 I work in Go now, it's crazy poor in that regard - let's just mention for instance "zero values" ( so things can remain uninitialized with a default value you can't choose ), recurring questions around "empty vs null vs not set", and everyone using go-playground/validator where you attach rules as comments ( "tags" really, but it's barely the Sep 18, 2022 · msgspec currently contains methods for converting converting objects to/from bytes using either JSON or MessagePack protocols. Instead use structlog. dataclasses. Introduction; Benchmarking; Conclusion; Introduction. Most of the time Pydantic is overkill. Msgspec is fast and the Struct classes work well. Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy (by ijl) Compare msgspec vs MessagePack and see what are their differences. e. msgspec 提供了一个快速的 Struct 类型，用于表示结构化数据。如果你已经使用过 dataclasses 或 attrs，那么 msgspec 的 structs 会让你感到熟悉。 Jan 15, 2025 · Interestingly, that will max out my CPU for a few seconds and then it goes down to 80% for a while before repeating. json. 복잡한 모델링을 하다보면 nested model 을 사용하는 일이 왕왕 있다. encode. Even with orjson, you're still paying the cost of creating a new PyObject for every node in the JSON blob. orjson Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy (by ijl) JSON Python Rust Serialization Datetime pyo3 dataclasses Deserialization Numpy Compare orjson vs dataclasses-json and see what are their differences. Compare dprint vs orjson and see what are their differences. g. Compared to geojson (another validating geojson library for python), loading the data using msgspec was 15. If you already use dataclasses or attrs, structs should feel familiar. Find and fix vulnerabilities +1 on this response. Jul 19, 2024 · Можно сделать вывод, что под капотом у библиотеки лучшие парсеры. pydantic-core vs koda-validate msgspec vs pydantic pydantic-core vs aiohttp-apispec msgspec vs orjson pydantic-core vs pymartini msgspec vs fastapi Nutrient - The #1 PDF SDK Library Bad PDFs = bad UX. orjson is a fast, correct JSON library for Python. This can be useful when part of a message already Support for additional protocols may be added by combining a serialization library with msgspec’s converter functions: msgspec. Without a schema, msgspec is generally on par/slightly slower than orjson (but uses less memory). Jul 12, 2018 · My goal is to convert JSON file into a format that can uploaded from Cloud Storage into BigQuery (as described here) with Python. Those libraries, including the one I wrote, just pick a way to serialize, but it isn't universal at a Compare orjson vs sqlite-utils and see what are their differences. msgspec and Pydantic are two extremely powerful libraries and both serve also different purposes but there are a lot of people that prefer msgspec to Pydantic for its performance. Since then, the service runs out of memory pretty quickly. Sometimes it'd be useful to convert to/from "simpler" types (lists, di Dec 11, 2024 · 资源摘要信息:"msgspec是一个针对Python语言的高效且用户友好的MessagePack序列化库。MessagePack是一种快速的二进制序列化格式，它旨在将结构化数据序列化成二进制格式，这样可以比JSON等文本格式更快且更小。 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. Any type in msgspec. Stars - the number of stars that a project has on GitHub. Find and fix vulnerabilities orjson Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy (by ijl) JSON Python Rust Serialization Datetime pyo3 dataclasses Deserialization Numpy JSON serialization / deserialization is the heaviest task to produce in what are normally trivial services that route data to and from databases. simdjson Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node. For other 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. to_builtins and msgspec. class Package (msgspec. There's a little more internal state. msgspec. OPT_PASSTHROUGH_DATACLASS is specifi Feb 1, 2024 · Armed with these results, it's clear that orjson stands tall as the go-to library for all time-crucial JSON tasks, on all Python versions, and beats all other JSON libraries. msgspec supports two places for configuring a field’s name used for encoding/decoding: On the field definition. 4x faster than orjson (on this data), while also ensuring the loaded data is valid GeoJSON. Struct): msgspec vs orjson pydantic vs typeguard msgspec vs pydantic-core pydantic vs Lark msgspec vs mashumaro pydantic vs mypy. msgspec provides a few utilities for generating JSON Schema specifications from msgspec-compatible types and constraints. I will use {JSON} Placeholder to test with a publicly msgspec. Support encoding subclasses of UUID . recommended msgpack use cases, pros/cons and other useful pointers related to msgpack and JSON. Jun 2, 2022 · Hello, I've got a service written in Python that reads data from ElasticSearch frequently 24/7. The same technique can be applied for any of the formats msgspec supports, allowing msgspec to be a one-stop-shop for serialization & validation in Python. Dec 27, 2024 · msgspec is a fast serialization and validation library, In benchmarks msgspec decodes and validates JSON faster than orjson can decode it alone. First of all, msgspec looks really impressive, congratulations. convert . Sign in import json import time import orjson import requests import simdjson import ujson import msgspec def query_msgspec (data: bytes)-> list [tuple [int, str]]: # Use Struct types to define the JSON schema. CodeRabbit: AI Code Reviews for Developers. orjson. 5x faster than pysimdjson, and ~5x faster than the stdlib json! Msgspec achieves this performance by doing less work - it's only parsing the fields that are used for the query. convert. decode快了近一个数量级。 虽然没有去翻源码去看具体实现，但二进制的世界没有魔法，无非就是在玩时间空间的把戏。msgspec. This had some immediate performance benefits, but that's not the main reason we made the switch. Posts with mentions or reviews of compare-go-json. Below are two versions of JSON schemas generated from the same model (i. For encoding, it's pretty much always the fastest option. Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy (by ijl) Sequence vs list or tuple with Mapping vs dict Don't do validation when you don't have to, use Any to keep the value unchanged Avoid extra information via subclasses of primitives Use tagged union, not union Use TypedDict over nested models Avoid wrap validators if you really care about performance In version 1. Jan 31, 2022 · You signed in with another tab or window. py -s localhost:9092 -t test-c 99999 PYTHONMALLOC=malloc memray run --follow-fork test_msgspec. Note that unlike the existing JSON & msgpack support, these new formats rely on external parser libraries (msgspec includes a fast, custom JSON parser). Reload to refresh your session. loads is very cpu intensive and my own parsing is not as bad as I thought. (20240615) msgspec 및 pydantic_v2 추가 && 라이브러리 최신 버전들로 업데이트. Jun 18, 2024 · Msgspec vs Pydantic v2. Jun 15, 2011 · With regards to msgpack vs bson vs protocol buffers msgpack is the least bytes of the group, protocol buffers being about the same. Sep 5, 2023 · Python JSON benchmarking and "correctness". Pluggable and configurable code formatting platform written in Rust. Pydantic V2 is coming along nicely, and has some very measurable speedups against V1 (yay!). Comparing with ujson, rapidjson and orjson instead of the standard library's json module, I was able to get peak speeds of 1 microsecond/message (with ujson), that is about 1M messages/second. . GitHub Gist: instantly share code, notes, and snippets. Due to a more efficient in memory representation, JSON decoding AND schema validation with msgspec than just JSON decoding alone. loads to msgspec. 0, but I think this is excessive for such tasks, besides I like the high speed of orjson. This table describes only non-negative integer values in MessagePack and only the types uint32, uint64, sint32, and sint64 in PB. All the perf benefits of e. Using pydantic to only validate the borders of your application where messy/invalid data can occur is the ideal way to use it IMO. but there doesn't seem to be a value for declaring accepted values like enum or const like in jsonschema. You signed out in another tab or window. Nov 9, 2023 · class MsgSpecJSONResponse (JSONResponse): """ JSON response using the high-performance msgspec library to serialize data to JSON. msgspec vs pydantic fastapi vs Tornado msgspec vs orjson fastapi vs AIOHTTP msgspec vs pydantic-core fastapi vs django-ninja. pysimdjson vs Fast JSON schema for Python msgspec vs pydantic pysimdjson vs ultrajson msgspec vs orjson pysimdjson vs cysimdjson msgspec vs fastapi Nutrient - The #1 PDF SDK Library Bad PDFs = bad UX. To do this you can use the name argument in msgspec. Apr 25, 2024 · msgspec msgspec是适用于Python 3. If you work with a large datasets in json inside your python code, then you might want to try using 3rd party libraries like ujson and orjson which are replacements to python’s json library. CPython, although not being quite as Jul 3, 2024 · In the JSON schema produced from a msgspec Struct, I'm wanting to output to the schema some text descriptions of the properties held within the Struct in the same way as the docstring of the Struct orjson. Since a few people have asked about how msgspec's performance compares to pydantic v2, I've updated the gist above with a benchmark that works with the current pydantic V2 betas. Apr 4, 2019 · In my benchmarks, msgspec with a schema is generally ~2x faster than orjson, which is the next fastest JSON parser I've found. Since we have to work with JSON responses we could use parsel_crawler added in version 0. The benchmark not only provides valuable insights for developers but also adds a dash of excitement to the world of Python library comparisons. Making Python classes serializable to/from JSON Write better code with AI Security. 🎉 Support for a wide variety of Python types. Making Python classes serializable to/from JSON gives me a parsing time of 3 microseconds/message, that is slightly above 300k messages/second. Jul 23, 2022 · Hi @jcrist, thanks so much for this. Allow any of msgspec's supported types as inputs to msgspec. 3. Each supports a consistent interface, making it simple to switch between protocols as needed. json . The last one was on 2023-11-01. Sep 8, 2021 · 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. msgpack should be fairly painless. to_builtins: takes an object composed of any supported type and converts it into one composed of only simple builtin types typically supported by Python serialization libraries. dumps to msgspec. Find and fix vulnerabilities The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. It can be disabled with orjson. For most users that aren't passing additional config options to orjson, porting should be as straightforward as swapping calls to orjson. decode and orjson. Through use of Python’s type annotations, messages are validated during deserialization in a declarative way. Sep 18, 2022 · msgspec currently contains methods for converting converting objects to/from bytes using either JSON or MessagePack protocols. Although msgspec and pydantic have different aims and features, it's definitely fair to say pydantic now has a new benchmark to work towards. com When benchmarking individual types for the core parsing routines, msgspec's float parser is known to be a bit slower (~15% slower) than orjson's, while the other core type parsing routines are approximately equivalent (we're slightly faster at ints for some reason). I will have to give msgspec another go because that was much more efficient loading but made the cython parsers harder. Get to know about a Python package or Compare Python packages download counts and their Github statistics Sep 15, 2023 · msgspec lets you describe your schema via type annotations and will efficiently validate messages against this schema while decoding. It sounds like that's what you're looking for here. Struct): name: str size: int class RepoData (msgspec. It seems the orjson. , same fields). 45. I've found lots of good resources on encoding the data and gotten my encoder to work no problem, but I ca Posts with mentions or reviews of compare-go-json. dprint. msgspec is friendly. A speedy Struct type for representing structured data. May 19, 2023 · The fashionable orjson and msgspec libraries differ slightly from the standard and ujson libraries in the way they implement the dumps function: it returns bytes directly instead of a str object that requires UTF-8 encoding (which makes orjson Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy (by ijl) JSON Python Rust Serialization Datetime pyo3 dataclasses Deserialization Numpy Oct 16, 2012 · I would greatly recommend you to read this article - My thoughts on MessagePack, written by msgpack's author, that includes everything you need to know vs. Any fields declared with this msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. Making Python classes serializable to/from JSON Posts with mentions or reviews of orjson. convert (#431, #418). +1 on this response. Use gc=False ¶ Python processes with a large number of long-lived objects, or operations that allocate a large number of objects at once may suffer reduced performance due to Python’s garbage 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. msgspec supports multiple serialization protocols, accessed through separate submodules: msgspec. May 25, 2022 · 代码量看起来是比以前一把梭哈json. BytesLoggerFactory. And since msgspec supports both protocols with a consistent interface, switching from msgspec. msgspec: декодирование и кодирование на основе схемы для JSON May 25, 2022 · Benchmarking Python JSON serializers - json vs ujson vs orjson May 25, 2022 2 minute read . I don’t do many web things, so it might not be as ideal for web validation. yaml . py -s localhost:9092 -t test-c 99999 Results Find the result files starting with memray- in the current directory. I have tried using newlineJSON package for the conversion but rece msgspec vs pydantic compare-go-json vs jsoniter msgspec vs orjson compare-go-json vs orjson msgspec vs fastapi compare-go-json vs comparePlus msgspec vs mashumaro compare-go-json vs ojg msgspec vs MessagePack compare-go-json vs sqlite-utils msgspec vs marshmallow compare-go-json vs bert Feb 6, 2024 · msgspec is all in C so we're not necessarily better 😬, but we do seem to have a lighter history of segfault bug reports. The default JSON module is quite slow indeed. Which is the best alternative to msgspec? Based on common mentions it is: Fastapi, FrameworkBenchmarks, Pydantic, Starlite, Simdjson, Cap'n Proto or Orjson Sep 24, 2024 · 在 基准测试 中，msgspec 在解码和验证 JSON 数据时，速度甚至超过了 orjson 的解码速度。 快速的 Struct 类型. It's hard to imagine a situation where JSON serialization is an issue if you're correctly using either of those two See "Strict" vs "Lax" Mode for more information . json. Compare simdjson vs msgspec and see what are their differences. Msgpack is slightly better: Hi - author of msgspec here. It natively supports a wide range of Python builtin types. yyjson, but with schema validation like pydantic. Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy (by ijl) 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. Unions of dataclass types don't work, but msgspec has a significantly faster builtin dataclass type msgspec. The last one was on 2022-04-12. We have used some of these posts to build our list of alternatives and similar projects. Manage code changes Aug 16, 2021 · Compare orjson vs Robyn and see what are their differences. – Compare msgspec vs pydantic-core and see what are their differences. Your use case should work perfectly fine with msgspec - GeoJSON-like models were one of the original reasons for writing msgspec in the first place :). json to msgspec. See full list on pythonspeed. 5x faster than Pydantic V2 msgspec decodes ~30x faster than Pydantic V1. The last one was on 2024-03-07. 🔍 Zero-cost schema validation using familiar Python type annotations. The library already has support for an HTTP client that allows bypassing Cloudflare - CurlImpersonateHttpClient. Raw lets the encoder avoid re-encoding the message, instead it will simply be copied to the output buffer. It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. The JSON and MessagePack implementations regularly benchmark as the fastest options for Python. msgpack (MessagePack) msgspec. It features: 🚀 High performance encoders/decoders for common protocols. field. Parameters: obj (Any) – The object to convert. orjson & msgspec of course solved that issue. You switched accounts on another tab or window. In benchmarks msgspec decodes and validates JSON faster than orjson can decode it alone. Compare orjson, msgspec. PYTHONMALLOC=malloc memray run --follow-fork test_orjson. Avoiding unnecessary encoding cost. Schemas are useful for reasons other than decoding/encoding performance too: 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. It regularly benchmarks[2] as the fastest JSON library for Python. Recently I've migrated it from orjson to msgspec. So orJSON's memory or usage in its parser is a lot higher than msgspec, regardless of the output size. >>> from typing import Optional, Set >>> import msgspec >>> class User(msgspec. js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks (by simdjson) Posts with mentions or reviews of msgspec. Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy (by ijl) The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. Mar 30, 2023 · Потребление памяти одинаковое, но orjson быстрее — 280 мс против 420 мс. A fast serialization and validation library, with builtin support for JSON, MessagePack Jan 6, 2021 · MessagePack(简写msgpack)是一个高效的二进制序列化格式。它让你像JSON一样可以在各种语言之间交换数据。但是它比JSON更快、更小。小的整数会被编码成一个字节，短的字符串仅仅只需要比它的长度多一字节的大小。之前在lua脚本中使用过msgpack，因为有大量数据要入redis，而考虑 Sep 24, 2024 · 资源摘要信息:"msgspec是一个针对Python语言的高效且用户友好的MessagePack序列化库。MessagePack是一种快速的二进制序列化格式，它旨在将结构化数据序列化成二进制格式，这样可以比JSON等文本格式更快且更小。 Jun 5, 2019 · 允许他人重新传播作品，但他人重新传播时必须在所使用作品的正文开头的显著位置，注明用户的姓名、来源及其采用的知识共享协议，并与该作品在磨坊上的原发地址建立链接 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. schema_components: generates JSON schemas for multiple types, along with a corresponding components mapping. While experimenting with msgspec to replace orjson for JSON serialisation, it became clear that it was quite powerful, and soon after we made the switch, we also explored the possibility of moving all our internal validation and parsing logic to it, but at the time it was lacking several features that would be integral for us to make it work If you're primarily targeting Python as an application layer, you may also want to check out my msgspec library[1]. Encoding¶ msgspec. Navigation Menu Toggle navigation. Теперь рассмотрим msgspec. For efficiency we only define # the fields we actually need. Если вы пользуетесь только json, то стоит присмотреться к другой библиотеке (например, orjson), но все же значения библиотек не сильно критично разнятся. Passthrough input unchanged when coercing to typing. WriteLoggerFactory or – if your serializer returns bytes (for example, orjson or msgspec) – structlog. Per my benchmarks msgspec is generally as fast or faster than any other JSON library in Python. At this time it still looks like msgspec is measurably faster though. msgspec is flexible. For this kind of use case you're looking for Enum or Contribute to tigerinus/kafka_with_orjson_vs_msgspec_in_python development by creating an account on GitHub. However, they're 5-60x faster for common operations. All of this is included in a lightweight library with no required dependencies. Wrapping an already encoded buffer in msgspec. This is mainly useful for adding msgspec support for other protocols. orjson Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy (by ijl) JSON Python Rust Serialization Datetime pyo3 dataclasses Deserialization Numpy Write better code with AI Security. 0, we introduced msgspec as our serialization backend, replacing orjson. 8+的协议的快速友好实现。 除了 序列化 /反 序列化 之外，它还支持使用通过Python的定义的模式进行运行时 消息 验证。 from typing import Optional , List import msgspec # Define a schema for a `User` type class User ( msgspec . Write better code with AI Security. Get to know about a Python package or Compare Python packages download counts and their Github statistics msgspec decodes ~6. Define your message schemas using standard Python type annotations. encode (content) Avoid sending your log entries through the standard library if you can: its dynamic nature and flexibility make it a major bottleneck. May 20, 2024 · I'm trying to utilize msgspec to encode and decode numpy data into json serialized objects. This has a small performance cost 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. toml . Compare msgspec vs orjson and see what are their differences. to_builtins (obj, *, str_keys = False, builtin_types = None, enc_hook = None, order = None) ¶ Convert a complex object to one composed only of simpler builtin types commonly supported by Python serialization libraries. (by dprint) Posts with mentions or reviews of orjson. > I should mention that spyql leverages orjson, which has a considerable impact on performance. 3x faster. Contribute to TkTech/json_benchmark development by creating an account on GitHub. May 22, 2021 · Although I only tested one example doc, is seems that (1) libpy_simdjson is not fully baked, so use pysimdjson instead; (2) simdjson could have some advantages when parsing JSON and you don't need to reference all the fields; (3) orjson is the fastest way to render JSON if that is all you want to do; (4) PyPy's json module still provides a nice boost vs. Raw is a buffer-like type containing an already encoded messages. ozfyozpi ngrou mfc aumzl yein urgypzma grtby jjycdp myd njtj coddc oeaay dlzxc uiyg gjefvu