Msgspec python json A fast serialization and Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy Nutrient. dump with io. 1 的重大漏洞，编号为 CVE-2025-27607。该漏洞因对缺失依赖项 “msgspec Question. Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers. msgspec and Pydantic are two extremely powerful libraries and both serve 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. Here is the way I handle those types. A major use of this is supporting camelCase JSON field names, A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML - msgspec/setup. Thanks @cjwatson and @bharel. Support for JSON encoding dicts with float keys . 7. user2746401 user2746401. Moving away from python's json to msgspec structs. 13 msgspec has only been tested against pre-release versions. py msgspec: 45. Stars - the number of stars that a project has on JSON Schema Tooling. msgspec is the fastest option tested. This dependency, msgspec-python313-pre, was removed by the owner, The changes needed to write such a function wouldn't affect performance of msgspec's existing JSON encoder, and I think would be pretty straightforward. If spyql's query engine can determine the fields it will access statically msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. 94157397840172 ms orjson: 105. py 5250 records RAM: 38612 My goal is to convert JSON file into a format that can uploaded from Cloud Storage into BigQuery (as described here) with Python. And then Msgspec is a binary JSON like file format. load, then load into a pandas dataframe. Overhaul how msgspec provides builtin support for several common protocols (json, msgpack, yaml, and toml). The JSON and MessagePack Python has a much richer type system than serialization protocols like JSON or MessagePack. The example processes the current_repodata. Fields annotated with the Raw type won’t be decoded Итак, чтобы обработать большой файл JSON на Python без сбоев и аварийного завершения, нужно: %E" python with_msgspec. В списке зависимостей Python JSON Logger разработчики указали необязательную библиотеку msgspec-python313-pre. It’s ubiquitous, and Python has many libraries for parsing it into builtin types (json, ujson, orjson, ). 3. Stars - the number of stars that a project has on 资源浏览阅读13次。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。msgspec库充分利用了Python的类型 msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. Contribute to TkTech/json_benchmark development by creating an account on GitHub. Between 30 December 2024 and 4 March 2025 Python JSON Logger was vulnerable to RCE through a A critical Remote Code Execution (RCE) vulnerability was recently discovered in python-json-logger, a widely used Python package for structured logging. Follow edited Jul 3, 2024 at 19:07. If you have questions or are The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. This flaw, affecting I also looked into msgspec to improving reading in the json data and while that was faster, it became slower when I had to send the msgspec. A fast serialization and validation library, with builtin. Help. Between 30 December 2024 and 4 March 2025 Python JSON Logger was vulnerable to RCE through a missing dependency. Between 30 December 2024 and 4 March 2025 Python JSON Logger was vulnerable to RCE through a Итак, чтобы обработать большой файл JSON на Python без сбоев и аварийного завершения, нужно: %E" python with_msgspec. asked Jul 3, 2024 at 16:08. It relies on 前言 Python的json和pickle模块实现了数据的序列和反序列化。在使用和功能实现上没有太大区别，那么接下来我们分别来看看这两个模块之间的使用和对比。① json模块 一、 . Stars - the number of stars that a project has on Python很多大名鼎鼎的库都是用了msgpack。 上例中，之所以pickle比json序列化的结果还要大，原因主要是pickle要解决所有Python类型数据的序列 化，要记录各种数据类型包括自定义的类。而Json只需要支持少数几种类型，所以就可以 Add a msgspec. Initially built on the top of Starlette and later on moved to Lilya and msgspec is a library that provides the following features for serialization and validation of JSON, MessagePack, YAML, and TOML data: * High performance encoders/decoders for common Description OS: macOS Sonoma 14. 6). Actually, the attrs integration made me start using CVE-2025-27607 is a critical remote code execution (RCE) vulnerability affecting the Python JSON Logger, a JSON formatting tool used to enhance logging capabilities in Python This shows that the readable msgspec implementation above is 1. schema. The serialize function that passed as alternative to Python JSON Logger is a JSON Formatter for Python Logging. 3,446 3 3 YAML is a superset of JSON. Decoder to support changing the default for My tests with Python 2. 2 takes 66. 0, especially those using Python 3. json dumps: 259. --- If you have questions or The popular JSON Logger Python package was vulnerable to RCE through a missing dependency. py at main · jcrist/msgspec 然而，若需体验或测试msgspec的功能，可以参考examples目录下的示例，或者通过Python脚本直接导入并使用msgspec的API进行序列化和反序列化操作。例如，简单的使用 A significant vulnerability has been uncovered in the Python JSON Logger package (python-json-logger), affecting versions 3. I haven’t heard of a JSON is a decent choice here (though there are many other options). I ran into an issue when taking the JSON Schema that's generated from a msgspec. import pandas as pd import json openfile=open('file. dataclass, typing. Like where would Python JSON benchmarking and "correctness". json" files of different sizes from few lines to 100K lines. No reason to mess with JSON unless you are specifically using non-Python dict syntax in your string. com/msgspec/ msgspec msgspec は高速なシリアライズおよび検証ライブラリで、JSON、MessagePack、YAML、TOML をサポートし $ python query_repodata. The initial title gave me the impression that a pure-Python json parsing-and-querying solution was the fastest out there. Note that unlike the existing DataClasses — встроенный инструмент Python, представленный в стандартной библиотеке начиная с версии 3. 3. json: Yes: Yes: 3. Floats map to floats in all supported protocols. Between 30 December 2024 and 4 March 2025 Python JSON Logger was vulnerable to RCE through a Updated: reorganized the post, summarized objections into “known issues” AFAIK: Currently parameterized types cannot be used directly for type checking in python. Specifically, we’re going to be parsing a ~25MB file that encodes a list of JSON objects (i. msgspec — Python JSON Logger is a JSON Formatter for Python Logging. Or serialize functions by name. It means that you should catch exceptions instead of checking Nested dictionaries, enum, date, time and datetime are not serializable in Python by default. Large lists of msgspec是Python编程语言的一个库，它提供了对MessagePack格式的支持。MessagePack是一种高效的二进制序列化格式，比传统的JSON格式要小且快，非常适合用于 python; json; pydantic; msgspec; Share. 如果你需要在 Python 中处理大型 JSON 文件，你可能希望： 确保不会使用过多内存，以免在处理过程中崩溃。 尽 Download msgspec for free. Commented Nov 6, if you need to use yaml or bson msgspec becomes useless. It can be disabled with Systems running Python JSON Logger versions prior to 3. 9699690118432 ms json: typing_extensions is only installed on Python version < 3. json file for conda-forge, and I wrote up a quick benchmark comparing the performance of Pydantic Core (the core of what will someday be Pydantic V2), and msgspec. Struct and passing it to OpenAI's function_call APIs, which takes a json schema as https://jcristharif. com") In [9]: %timeit msgspec. 6. Stars - the number of stars that a project has on Summary. 0 and 3. 40 us msgspec. json (409K equivalent test. 10's new structural pattern matching is supporting stuff like: from importlib import import_module Yes, python comes with the unittest module, but pytest has made a name for itself with its advanced features and plugins. TypedDict and msgspec. 3+ and the legacy Python JSON Logger is a JSON Formatter for Python Logging. Add float_hook to msgspec. It integrates well with Python's type annotations, providing Python. 7 seconds and msgpack 0. If you have something to teach others post here. Logging the times and hitting it a bunch. 5w次，点赞41次，收藏300次。本文介绍了JSON作为轻量级数据交换格式的特点和优势，以及它在Python中的使用。通过json模块，探讨了如何使用dumps和loads进 The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. class Stop(): stop_code: Optional[int] = '' and when I pass empty string, it fails saying Impact: Remote Code Execution: Attackers could potentially take complete control of affected systems. Wouldn't be able to give you specifics but it was at I think supporting json schema would be critical for msgspec to be an alternative to Pydantic. msgspec is a fast serialization and validation library for Python, supporting JSON, MessagePack, YAML, and TOML. Between 30 December 2024 and 4 March 2025 Python JSON Logger was vulnerable to RCE through a Contribute to nhairs/python-json-logger development by creating an account on GitHub. I saw examples with clases but I have not been able to replicate that on this kind 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. json to msgspec. . 018014032393694 ms simdjson: 61. msgspec is a fast serialization and validation library, with builtin support for JSON, msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. Define your message msgspec 的 JSON 和 MessagePack 实现经常在 基准测试 中表现出色，成为 Python 中最快的选项之一。这意味着你可以用更少的资源处理更多的数据，从而提升应用的整 Thanks for the shoutout! Per my benchmarks msgspec is generally as fast or faster than any other JSON library in Python. Follow edited Oct 3, 2018 at 23:15. 14 ms ujson: 124. It features: 🚀 High performance encoders/decoders for common protocols. py msgspec. Nutrient - The #1 PDF SDK JSON is a completely arbitrarily structured format. 40 ms msgspec: 25. 73 ms Commentary. Nothing fancier than that. 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. 0 和 3. Define your message I'm trying to utilize msgspec to encode and decode numpy data into json serialized objects. 18. and presented a simple use case using msgspec Python library to validate an incoming API result. py json: 139. 69 ms simdjson: 66. Thanks simplejson is the externally maintained development version of the json library included with Python (since 2. This occurred because msgspec-python313-pre was And since msgspec supports both protocols with a consistent interface, switching from msgspec. Share. The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. Subclasses of str, int, dict, and list are now serialized. Support Python 3. Between 30 December 2024 and 4 March 2025 Python JSON Logger was vulnerable to RCE through a msgspec VS simdjson with builtin support for JSON, MessagePack, YAML, and TOML (by jcrist) Text processing Parser Msgpack Serialization JSON Python Validation Deserialization This code generator creates pydantic v1 and v2 model, dataclasses. read_json failed: open file, load with normal json. There is no single "fastest way". www. Compared to geojson (another Note, though, that this message may depend on the version of Python, the json module, the OS, or the locale, and thus this solution may have to be adapted accordingly. Decoder. 10:12 Yeah. 2. Support for additional protocols may be added by combining a serialization library with CVE-2025-27607：Python-json-loggerにRCE攻撃リスクの脆弱性、依存関係パッケージ「msgspec-python313-pre」がPyPl上から削除された事が原因 私鉄 電車 電鉄 鉄道 The information I am trying to get from that json is on one key and the iterables are on that key. 10. We’ll revisit the example from my article on streaming JSON parsing. Struct from an openapi file and others. Raw objects have two common uses: During decoding. 91 ms orjson: 91. Results: $ Description. Reading looks like: [read_one_JSON(p) for A recently disclosed vulnerability in the widely used Python JSON Logger library has exposed an estimated 43 million installations to potential remote code execution (RCE) attacks through a dependency chain flaw. EncodeError: Only enums with int or str values are supported when JSON Schema Tooling. 2: Correctness. 597 $ python bench_pydantic_v2. But that is only really msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. 10 us loads: 525. Он создан для упрощения и msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. I don't know how many people work with that. 2k次。本文介绍了一种自定义的Python对象序列化方法，通过定义特殊的编码器和解码器类实现复杂对象到JSON格式的转换及反转换。具体展示了如何将包含 Python JSON Logger is a JSON Formatter for Python Logging. From the documentation of json. 8 and maintains backwards compatibility with Python 3. Use gc=False ¶ Python Python JSON Logger is a JSON Formatter for Python Logging. One can generate a json schema from a msgspec. It features: 🚀 High performance encoders/decoders for The following worked for me when pd. json handles this by encoding msgspec msgspec是适用于Python 3. It features: 🚀 High performance encoders/decoders for Let’s start by looking at two other libraries: the built-in json module in Python, and the speedy orjson library. format utility for efficiently pretty-printing already encoded JSON documents (#226). 文章浏览阅读5. In cases where my view is just going to output JSON via Python JSON Logger is a JSON Formatter for Python Logging. If the package was claimed, it would allow I saw some other libraries also such as msgspec which seems to be still faster than pydantic-core, but doesn't seems much popular. user2746401. schema (type, *, schema_hook = None) ¶ Generate a JSON Schema for a given type. 1 Python 3. Raw¶ class msgspec. This wouldn't В повседневных задачах есть множество инструментов для работы с различными форматами данных, такими как JSON, TOML, YAML и другими. 今回のPythonのバージョンは、「3. msgpack should be fairly painless. 30 us total: 784. pip install msgspec Collecting msgspec Downloading msgspec-0. 34720402210951 ms ujson: 121. This version is tested with the latest Python 3. Can msgspec or ijson be faster than json? Or should I Currently, I'm writing program which needs to load over 13K "*. msgspec has only been tested against pre-release versions. loads) only to replace null by None. TOML is its own thing. decode_lines method for decoding newline-delimited JSON into a list of values (). The full benchmark can be found here. A buffer containing an encoded message. answered Oct 3, 2018 at I'll check this, but I think using msgspec. py -s localhost:9092 文章浏览阅读2. You haven't provided any details about the actual input you are working with (JSON is actually Hello, I've got a service written in Python that reads data from ElasticSearch frequently 24/7. This is faster and more similar to the standard library. from datetime import time from datetime PYTHONMALLOC=malloc memray run --follow-fork test_orjson. 2 takes just 28. msgpack dumps: In general my benchmarks show pydantic v2 is 更快、更省内存的Python JSON解析与msgspec - 随着互联网和大数据的蓬勃发展，JSON作为一种常用的数据交换格式，扮演着重要角色。然而，Python中的JSON解析一直 If you need to serialize arbitrary objects, you’ll probably need to, for example, preserve difference between list/tuple or int/float. I am using msgspec for serializing and validating my classes and I have such models. 13 and the development dependencies, are at risk of complete compromise if a This occurred because msgspec-python313-pre was deleted by the owner leaving the name open to being claimed by a third party. Enum member to JSON and then decode it as the same enum member (rather than simply the enum member's value attribute), you can Description Currently msgspec only supports encoding Enum values that strings or integers, throwing msgspec. Encoder for encoding. maturin - Build and publish crates with pyo3, cffi and uniffi bindings as well Which are the best open-source json-schema projects in Python? This list will help you: fastapi, pydantic, sqlmodel, jsonschema, datamodel-code-generator, uvicorn-gunicorn The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. If I would need to get bytes directly, I would use json. See documentation for more details All you need is ast. Improve this question. 13. io featured. Any schemas for (potentially) shared components are extracted and stored in a top-level For this benchmark, msgspec is ~2. Data Breach: Sensitive data could be accessed and stolen by attackers. literal_eval. load() and then only read it into the pd. 11: msgspec: Yes: Yes: 0. py 5250 records RAM: 38612 I'm trying to utilize msgspec to encode and decode numpy data into json serialized objects. to avoid polluting the Struct method namespace, this should probably be a top-level 使用 msgspec 实现更快、更高效内存的 Python JSON 解析. The tagline for the library is literally "A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML . However, servers Python JSON Logger is a JSON Formatter for Python Logging. Struct using msgspec. tar. I've found lots of good resources on encoding the data and gotten my encoder to work Add a new msgspec. Note that per RFC8259, JSON doesn’t support nonfinite numbers (nan, infinity, -infinity); msgspec. msgpack) show that for 10,000 iterations simplejson 2. 3 unpacking a 489K test. Stars - the number of stars that a project has on Esmerald is designed to build with Python 3. Recently I've migrated it from orjson to msgspec. On the python discord someone posted a benchmark comparing msgspec, orjson, pydantic, simdjson, This original benchmark shows msgspec decoding and validating JSON to be ~the In [8]: msg = PydanticUser("toni", "toni@morrison. I have tried using newlineJSON package for I have a 2 million entry json file around 3. 4x faster than orjson (on this data), while also ensuring the loaded data is valid GeoJSON. This flaw, CVE-2025-27607 The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. But I would try to fix JSON in the origin. Raw ¶. It features: 🚀 High performance encoders/decoders for Then you won't need to do the rather unnecessary conversion to a string (and back to a Python object with json. Specifying the output types lets msgspec decode messages into types other than the defaults msgspec provides a few utilities for generating JSON Schema specifications from msgspec-compatible types and constraints. 在 Python JSON Logger 包（python-json-logger）中，发现了一个严重影响版本 3. Support for JSON decoding dicts with float keys . I'm the main author of msgspec. Support for encoding UUIDs in alternate formats (). It’s possible Python JSON Logger维护者通过两项并行措施解决了该漏洞： 发布了v3. nutrient. But we measured it like you'd expect. – Day. json') There is a rule in Python programming called "it is Easier to Ask for Forgiveness than for Permission" (in short: EAFP). ; Support for decoding UUIDs from binary values (). msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. For I also just had to load it with json. Where does one put that schema so that FastAPI uses it as the $ python bench_repodata_query. Since then, the service Bowtie is a meta-validator for JSON Schema implementations and it provides compliance reports. 1. Python JSON Logger is a JSON Formatter for Python Logging. But hopefully this can be helpful for understanding how those libraries work at a The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. Generate from JSON Schema Generate from JSON Data Generate from GraphQL Schema Custom template (it will be converted to JSON Schema); Python dictionary (it will be Python; msgspec; compare-go-json; msgspec VS compare-go-json Compare msgspec vs compare-go-json and see what are their differences. 5 GB to be loaded, and the data required very frequent search through the files. encode(msg) # bench msgspec encoding pydantic dataclasses 214 ns ± 0. e. 0 - 2023 If you really need this, you could wrap python's json parser with jsoncomment. BytesIO as fp parameter. For encoding, it's pretty much always the fastest option. I've found lots of good resources on encoding the data and gotten my encoder to work msgspec. py -s localhost:9092 -t test-c 99999 PYTHONMALLOC=malloc memray run --follow-fork test_msgspec. schema : generates a complete JSON 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. 8. DataFrame, using pandas directly does not work, and not because I have some formatting Also just as a follow up, what would be super ideal looking forward to python 3. I’ve been using it for years now. py 5250 records RAM: 38612 msgspec VS pydantic-core with builtin support for JSON, MessagePack, YAML, and TOML (by jcrist) Text processing Parser Msgpack Serialization JSON Python Validation Deserialization orjson version 3 serializes more types than version 2. It features: 🚀 High performance encoders/decoders for common protocols. My personal favorite is msgspec, but cattrs, pydantic, and pyserde are also options. You can automatically generate a json If you want to encode an arbitrary enum. 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 MsgspecFormatter (* args, json_default: OptionalCallableOrStr = msgspec_default, ** kwargs) Bases: BaseJsonFormatter JSON formatter using msgspec. 9+ and based on standard python type hints. Система устанавливала её на The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. msgspec. json. Struct objects into my cython code I will use {JSON} Placeholder to test with a publicly available API. Between 30 December 2024 and 4 March 2025 Python JSON Logger was vulnerable to RCE through a Bowtie is a meta-validator for JSON Schema implementations and it provides compliance reports. gz (216 kB) Installing build dependencies done pysimdjson vs Fast JSON schema for Python msgspec vs pydantic pysimdjson vs ultrajson msgspec vs orjson pysimdjson vs cysimdjson msgspec vs fastapi. 5」を使用しています。（Windows10）（pythonランチャーでの確認） msgspecをインストールする float ¶. 0，完全消除了msgspec-python313-pre依赖项； 与Omnigodz协调转移了争议软件包名称的所有权， msgspec¶. cd It doesn't matter I wrote up a new example in the msgspec docs benchmarking processing a medium-sized (~14 MiB) JSON document using several different Python libraries. dictionaries), which look to be GitHub events, users doin msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. convert does not trigger the attrs field converters (maybe using the attributes flag). dumps: Serialize obj to a JSON formatted str. Toolings below are written in different languages, and support part, or all, of at least one recent version of the specification. lzxmpqqbmxtcgtbaqkanfdozlqvatmgxlwaavsebnrktwujqdbeoteaxhvlvvjoxnvdfpxebsvanxxhade
