MessagePack aims to be as compact and simple as possible. The JSON and MessagePack implementations regularly benchmark as the fastest options for Python. Performance wise, for 1GB of input data, orjson allows to decrease processing time by 20-30%. We ended up going with rapidjson though, because orjson encoded a certain type in a way that isn't what we wanted and there was no option to disable the built-in handling. However, it's important to note that orjson may not be compatible with all Python versions and may not support all features of the json library. Edge computing: On Raspberry Pi 5, msgspec deserializes 5k IoT payloads/s vs Pydantic's 400. ValidationError: Expected `str`, got `int` - at `$. orjson vs. Here’s a simple benchmark to demonstrate why. Encoding ¶ Each submodule has an encode method for encoding Python objects using the respective protocol. schema_components: generates JSON schemas for multiple types, along with a corresponding components mapping. yaml (YAML) msgspec. msgspec VS compare-go-json Compare msgspec vs compare-go-json and see what are their differences. JSON Lines is a convenient format for storing structured data that may be processed one record at a time. , LLM JSON mode). In fact, Pydantic can be set up to use orjson. Dec 2, 2025 · This page describes the JSON Lines text format, also called newline-delimited JSON. Jan 1, 2019 · python json、ujson、orjson性能PK请注意： 测试结果可能会因环境不同而有所出入。 理想情况下，应当在一致的环境下运行多次测试，并计算平均值以获得更精确的性能对比。 参考链接 /* 2022年，增加了下文内容：*/ 国外有个博主写了一个压测脚本，详细信息请点击 链接。 为了防止链接失效，我贴一下 Apr 9, 2025 · 在 Python 中，处理 JSON 数据的库有多种选择，其中 json 和 orjson 是两个常见的选项。下面我们将介绍这两个库的主要差异，并通过示例代码帮助您更好地理解它们。 1. 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 th May 25, 2022 · 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 May 25, 2022 · orjson is a fast, correct JSON library for Python. msgpack (MessagePack) msgspec. toml (TOML) Each supports a consistent interface, making it simple to switch between protocols as needed. Which is the best alternative to orjson? Based on common mentions it is: Next. Small integers are encoded into a single byte, and typical short strings require only one extra byte in addition to the strings themselves. For other options we generally have a corollary, but the spelling is different. Efficiency: Zero-cost schema validation without runtime overhead. For supported types, encoding/decoding a message with msgspec can be ~10-80x faster than alternative libraries. orjson Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy (by ijl) Serialization JSON Python Rust Datetime pyo3 dataclasses Deserialization Numpy Source Code Suggest alternative Edit details JSON Schema ¶ msgspec provides a few utilities for generating JSON Schema specifications from msgspec-compatible types and constraints. I personally like to use orjson when working with fastAPI as it has builtin support for orjson response format making it a more developer friendly option. spyql supports both the json module from the standard library as well as orjson as json decoder/encoder. The JSON Lines In version 1. Jan 6, 2023 · msgspec is designed to be as performant as possible, while retaining some of the nicities of validation libraries like pydantic. dictionaries), which look to be GitHub events, users doing things to repos Search For Python Packages Get to know about a Python package or Compare Python packages download counts and their Github statistics orjson msgspec Maximum of 5 packages Nov 23, 2025 · In benchmarks msgspec decodes and validates JSON faster than orjson can decode it alone. On other hand you could try out ujsonwhich is simple replacement for python’s json library. Benchmarking I did a basic benchmark comparing json, ujson and orjson. This page presents performance benchmarks comparing msgspec with other Python serialization and validation libraries. 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's like JSON, but very fast and small. Let’s start by looking at two other libraries: the built-in json module in Python, and the speedy orjson library. Creating python objects dominates the execution time of any well optimized decoding library - how fast the underlying JSON parser is matters (there are some bad, naive algorithms you can use), but JSON optimizations can only get you so far if you're Conda Repodata ¶ This example benchmarks using different JSON libraries to parse and query the current_repodata.
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