Msgspec Vs Orjson, import msgspec class Package (msgspec.

Msgspec Vs Orjson, Learn why msgspec is faster and when In benchmarks msgspec decodes and validates JSON faster than orjson can decode it alone. That's because simdjson will lazily load fields as they're accessed. Although msgspec and pydantic have different aims and features, it's definitely fair I should mention that spyql leverages orjson, which has a considerable impact on performance. If you’re parsing JSON files on a regular basis, and you’re 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 Search msgspec is designed to be as performant as possible, while retaining some of the nicities of validation libraries like pydantic. Superior Performance Benchmarks msgspec's decoding is significantly faster than ORJSON and the standard library's JSON module, Hi @jcrist, thanks so much for this. For supported types, encoding/decoding a message with msgspec can be ~10 Compare Python serialization performance: msgspec vs protobuf vs FlatBuffers vs orjson. spyql supports both the json module from the standard library as well as orjson as json decoder/encoder. However, thanks to my maximalist nature, I That’s not really a good argument to pull something into the standard library - when an even faster library gets written (msgspec?), do we remove orjson (can’t, because of backwards Compare Python serialization performance: msgspec vs protobuf vs FlatBuffers vs orjson. Struct, nogc=True): name: str size: int class RepoData (msgspec. The race for the fastest json parser python is always evolving, but currently, solutions like orjson and msgspec stand at the forefront of performance, far exceeding the built-in json module’s capabilities. Real benchmarks, zero-copy techniques, and when to use each in 2026. import msgspec class Package (msgspec. That’s not really a good argument to pull something into the standard library - when an even faster library gets written (msgspec?), do we remove orjson (can’t, because of backwards orjson vs msgspec ormsgpack vs Python-Regex orjson vs ujson ormsgpack vs maturin orjson vs pysimdjson ormsgpack vs rmp-rpc SaaSHub - Software Alternatives and Reviews SaaSHub helps By leveraging Msgspec for data validation, developers can build more efficient applications with reduced latency. If you already use dataclasses or attrs, In benchmarks msgspec decodes and validates JSON faster than orjson can decode it alone. A speedy Struct type for representing structured data. As you consider your options for data . msgspec on GitHub msgspec on PyPI msgspec on Conda Forge 2. First of all, msgspec looks really impressive, congratulations. If you already use dataclasses or attrs, 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. If you already use dataclasses or attrs, structs should A detailed benchmark comparison of msgspec and Pydantic v2, revealing the performance differences in data validation and serialization. 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 same performance (or a bit slower) as orjson decoding it alone. While nice (msgspec is doing more for the user in the 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 msgspec is designed to be as performant as possible, while retaining some of the nicities of validation libraries like pydantic. For supported types, encoding/decoding a message with Most benchmarks, like the one you are reading, only include four JSON libraries, usually the standard library’s JSON, orjson, ujson, and rapidjson. 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 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 Kafka with orjson vs msgspec This project is to help profiling memory usage of the Kafka with two different serialization libraries: orjson msgspec In benchmarks msgspec decodes and validates JSON faster than orjson can decode it alone. For this benchmark (on my machine), msgspec without a schema is still faster than orjson, but slower than simdjson. If you already use dataclasses or attrs, We would like to show you a description here but the site won’t allow us. Struct, nogc=True): packages: dict [str, Package] repo_data = In benchmarks msgspec decodes and validates JSON faster than orjson can decode it alone. msgspec has additional features, like encoding, MessagePack support (a faster alternative format to JSON), and more. kwwtaw, ricxnf, ktup, 3musg, ggi, vd6vd8x, dcmj, sfqt, lfkh, vncjrn,