Msgspec vs pydantic reddit ) and the retroclones. Data validation using Python type hints (by pydantic) Interest over time of pydantic and msgspec Note: It is possible that some search terms could be used in multiple areas and that could skew some graphs. Then we will have one service called "api-gateway" which will be implemented in FastAPI, and will include the endpoints that we are exposing to the public. reduces the likelihood of subtle errors caused by malformed or unexpected data. We would like to show you a description here but the site won’t allow us. For completeness, here's a quick demo of JSON encoding/decoding dataclasses out-of-the-box with msgspec : Jun 18, 2024 · Msgspec vs Pydantic v2. Then of this model we want to generate gRPC (pb2) to communicate between services (internal). Asking this question, Because, in the first look pydantic looks helpful. Based on my experience, you might need to profile overhead on pydantic model serialization, especially if you are using pydantic v1, and it gets even worse if you run many validators for the model. As I've embraced the new Type safety mechanisms of this ecosystem, I've now embedded libraries like pydantic and msgspec everywhere where I don't need an actual hash map. Main differences from pydantic: Designed from the start with mypy in mind Much smaller in size (kb vs mb) Designed to use attr or dataclass for custom validators, rather than (badly) reinventing the wheel Dec 27, 2024 · msgspec is a fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML. Reload to refresh your session. Paraphrasing from an interview: Paraphrasing from an interview: Many people say that the library should never do type coercion. Hi all, I am a Python newbie and but I have experience with Matlab and some C. JSON parsing is tricky to do efficiently. In contrast msgspec avoids any unnecessary allocations - decoding into a dataclass or struct type allocates only the requested output type and no transient objects. Whether that matters is definitely use-case specific. I think these might improve and enhance NiceGUI if they were added as either an alternative or replacement for FastAPI and Pydantic . For more installation options to make pydantic even faster, see the Install section in the documentation. 0. The official Python community for Reddit! Stay up to date with the latest news, packages, and meta… It handles unions really well, including complicated cases that don't work with msgspec and other such libraries. 6, pydantic version 2. Field. You signed out in another tab or window. You can use "import msgspec" on top of the Python file. 6. If you're trying to do something with Pydantic, someone else has probably already done it. It is expected to be more performant in Pydantic 2. i'm not saying people only use pydantic for FastAPI stuff, but rather that the majority of people who use pydantic were introduced to it through FastAPI and probably think of it as a go-to solution for certain things only because it's already become Searched internet but didn't find any article or video of help. pydantic. Which depending on the task may be a good thing or extra work. Pydantic isn't THAT performant at all. . When I construct this class, if the keys do not exist (or have the incorrect type), I want to have custom granular logs the specifies which key doesn’t meet the class contract (can be short circuiting and not check all of the keys). It features: 🚀 High performance encoders/decoders for common protocols. This post ArkType is a new library that statically parses arbitrary TS type syntax so you can infer the type 1:1 and have a runtime validator without a special compilation step. Aug 31, 2024 · This post is a bit of a tutorial on serializing and deserializing Python dataclasses. (20240615) msgspec 및 pydantic_v2 추가 && 라이브러리 최신 버전들로 업데이트. mkdocstrings:blue_book: Automatic documentation from sources, for MkDocs. Pydantic serialization. YAML support is builtin (msgspec. I wrote typedload (released before pydantic), and it used to be MASSIVELY faster than pydantic. 8 msgspec VS pydantic Data validation using Python type hints Lark. We are talking about a super fast data modeling and validation framework called msgspec. as it helps us know what exact data is flowing through the application, helps us validate data. 1 msgspec VS Lark Lark is a parsing toolkit for Python, built with a focus on Are there any good libraries out there that help with object mapping? Something like. I'm not sure how hard it would be to implement similar semantics in pydantic (it's always nice when similar tools have similar semantics), but I can second that using an unset singleton for utype is a concise alternative of pydantic with simplified parameters and usages, supporting both sync/async functions and generators parsing, and capable of using native logic operators to define logical types like AND/OR/NOT, also provides custom type parsing by register mechanism that supports libraries like pydantic, attrs and dataclasses msgspec. Same for using dataclasses instead of always using msgspec and some other small things I noticed. 23. It doesn't expose a serialization API yet, but doing so will certainly be a priority given its emphasis on portability— a big part of what differentiates it from existing options like zod that rely on chaining functions is pydantic vs msgspec Cerberus vs jsonschema pydantic vs Lark Cerberus vs voluptuous pydantic vs typeguard Cerberus vs schema Nutrient - The #1 PDF SDK Library Bad PDFs = bad UX. 18. A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML 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. It's not perfect, and doesn't fully overlap with Pydantic in use cases, but it's a nice tool in the belt. You have a service that sends you a user object with first_name, last_name, and then 5 other attributes. This simple investigation quickly spiralled into many different threads. Define your message schemas using standard Python type annotations. With Pandera you can do something like In some cases it can be useful to dynamically generate msgspec. And they all seem promising, but I don't think they solve the issue of validating changes in data (as far as I can tell). 5 9. A pretty efficient JSON parser. yaml). The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. pydantic msgspec pydantic-v2. The new subreddit for the Litestar (fka Starlite) API project, a blazingly fast ASGI Python framework Apr 1, 2023 · Polyfactory is a simple and powerful mock data generation library, based around type hints and supporting dataclasses, typed-dicts, pydantic models, msgspec structs and more. Raw is a buffer-like type containing an already encoded messages. make_dataclass. This plot shows the performance benefit of performing type validation during message decoding (as done by msgspec) rather than as a secondary step with a third-party library like cattrs or pydantic V1. rennerocha/scrapy-pydantic-poc: Trying to use Pydantic to validate returned Scrapy items (github. It encodes/decodes to a simple types (str, int, float, dict), which means if you need to move a given datatype (for example complex type with msgspec vs pydantic orjson vs ujson msgspec vs pydantic-core orjson vs ormsgpack msgspec vs fastapi orjson vs pysimdjson CodeRabbit: AI Code Reviews for Developers Revolutionize your code reviews with AI. As for the most utilized and still loved library, that would probably be pydantic, it helps declaring types so convenient - be it dto's, models or just complex arguments - and plays nice with bunch of other libraries from it's own ecosystem. One noticeable difference is that pydantic is a hard dependency of FastAPI, while it's optional for litestar Support for dataclasses, TypedDict, pydantic version 1 and version 2, msgspec and attrs 164 subscribers in the litestarapi community. Most of them talk about syntax and semantics of pydantic and none talked about what I wanted to know. Some of you may already know this project as "pydantic-factories"; A name under which it garnered a decent amount of popularity since it's inception. We primarily focus on D&D (LBB, 1st ed. Updated Aug 13, 2023; Python; Improve this page pydantic-sqlalchemy - Tools to convert SQLAlchemy models to Pydantic models Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity. Compare pydantic-core vs msgspec and see what are their differences. It should also should support pydantic and msgspec for serialization. If you're a fan of Pydantic or dataclasses, you'll definitely be interested in this episode. Before Pandera I wrote a bunch of custom type checking for dataframes with Pydantic. msgspec is now supported everywhere! Channels & Websockets Hi - author of msgspec here. Struct". I'm not sure which is more correct, but wanted to raise the issue in case it is something that the author can/wants to address. toml . bson could be supported through wrapping an existing bson library with a converter. audiophile-e2e-pipeline Pipeline that extracts data from Crinacle's Headphone and InEarMonitor databases and finalizes data for a Metabase Dashboard. This library works with other libraries that use pydantic, for example- fastAPI, SQLModel, Ormar, Beanie, Odmatic etc. Dec 16, 2024 · By integrating a type adapter and leveraging Pydantic’s validation mechanisms, we add a layer of assurance that any historical messages and user inputs are well-formed before they reach the model. I started looking into libraries such as Great Expectations, Pydantic, etc. 00:10 And some of the types in here might even be better for general purpose use than Python's native classes. They have two common uses: 1. 19 release the dataclass in the above can be swapped with an attrs defined class, a msgspec Struct or a Pydantic BaseModel. The official Python community for Reddit! Stay up to date with the latest news… Pydantic V2 is definitely faster than Pydantic V1, but it's still an order-of-magnitude slower than msgspec. Production-ready, Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs - litestar-org/litestar. If you're starting out a new web API project, then this is a perfect opportunity to try out Litestar, with msgspec support. Pydantic v2! New Features. if you need to use yaml or bson msgspec becomes useless. In Litestar 2, Pydantic usage is now restricted to cases where users supply Pydantic models / types, with the rest of them handled by msgspec. 9. However, pydantic understands Json Schema: you can create pydantic code from Json Schema and also export a pydantic definition to Json Schema. 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 Compare pydantic vs msgspec and see what are their differences. Where previously only Pydantic models and types where supported, you can now mix and match any of these three libraries. >>> from typing import Optional, Set >>> import msgspec >>> class User(msgspec. To do so, the Field() function is used a lot, and behaves the same way as the standard library field() function for dataclasses: Jan 31, 2022 · You signed in with another tab or window. msgspec VS compare-go-json Recent benchmarks of pydantic V2 against msgspec show msgspec is still 15-30x faster at JSON encoding, and 6-15x faster at JSON It will let you create schema classes, similar to Pydantic, and add them as a type to your dataframes. This is a (surprisingly?) challenging area, and there are several excellent libraries out there that you should probably use. Since external libraries like msgspec or pydantic already handle these cases (and do so performantly), I suspect python maintainers don't see the need to make it builtin. 0, as well known, Esmerald was using Pydantic to make the life easier for almost everyone using the framework but things evolved and it was necessary to support other ways to validate data too, msgspec became predominant and widely adopted by the community and therefore it made sense also to provide support in Esmerald. May 25, 2022 · 代码量看起来是比以前一把梭哈json. Compared to Pydantic, msgspec is not as feature rich, but the features it provides were just what we needed for our core logic; High performance, type oriented parsing, validation and serialisation of data. One thing I've noticed with pydantic is that it is slow in instantiation. 00:05 We are talking about a super fast data modeling and validation framework called msgspec. Install using pip install -U pydantic or conda install pydantic -c conda-forge. ESP32 is a series of low cost, low power system on a chip microcontrollers with integrated Wi-Fi and dual-mode Bluetooth. Pydantic v2. See the documentation for more information. Once upon a time there was pydantic-factories. 2M subscribers in the Python community. GitHub Gist: instantly share code, notes, and snippets. Prior to version 2. I've definitely put a lot of effort into making msgspec performant and easy to use. loads, it also takes a keyword argument cache_strings=False which might improve performance if your data is big enough typing vs mypy pydantic vs msgspec typing vs pyre-check pydantic vs typeguard typing vs mashumaro pydantic vs Lark CodeRabbit: AI Code Reviews for Developers Revolutionize your code reviews with AI. First of all, msgspec looks really impressive, congratulations. I had a quick google and found this repo using pydantic rather than ItemLoaders which shows that I'm not the only one thinking along these lines but it doesn't go into much depth beyond a proof of concept. right, that's precisely what i have in mind when i say FastAPI is driving pydantic's popularity. Thanks again for such a great library! msgspec version 0. For supported types, encoding/decoding a message with msgspec can be ~10-80x faster than alternative libraries. 0, since they moved a lot of the core logic to rust, but it will still be quite slow compared to other method, simply because of what it does. msgspec decodes ~6. 45. Get to know about a Python package or Compare Python packages download counts and their Github statistics Jan 31, 2024 · The first one is from msgspec, while the second one is from pydantic v2, which works fine with the openai API. AD&D, etc. What we're possibly doing is switching parts of our internal logic to msgspec for performance reasons. This speedup is only possible because we make use of native code, letting us parse JSON directly and efficiently into the proper python types, removing any unnecessary allocations. We have upgraded to Pydantic v2 > TL;DR: More Choices. For this kind of use case you're looking for Enum or We would like to show you a description here but the site won’t allow us. but there doesn't seem to be a value for declaring accepted values like enum or const like in jsonschema. Learn more… Installing Pydantic is as simple as: pip install pydantic. The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. 4 Python msgspec VS starlite Because pydantic has great typing support and type parsing, the factories are able to generate all data automatically, which is pretty neat. On the face of it that made complete sense - we're starting to use pydantic to validate the outputs of some external APIs the application consumes, and this has definitely been a major source of tech debt. Starlite is a powerful, performant, flexible and opinionated ASGI framework, offering first class typing support and a full Pydantic integration. My pydantic takes a pragmatic approach to validation of data as it is a complicated area. In theory with rust vs pure python… the rust module should be at least 10x faster in all cases. yaml . Thanks @samuelcolvin!. In this benchmark msgspec is ~6x faster than mashumaro, ~10x faster than cattrs, and ~12x faster than pydantic V2, and ~85x faster than pydantic V1. pysimdjson VS msgspec Recent benchmarks of pydantic V2 against msgspec show msgspec is still 15-30x faster at JSON encoding, and 6-15x faster at JSON decoding Hello, I'm a Reddit bot who's here to help people nicely format their coding questions. 23 - xfenix/python-kebab-2023 msgspec. Le benchmark… Msgspec all the way? In version 1. 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. For many users I suspect Pydantic V2's performance will be sufficient. Some of the types – Listen to #442: Ultra High Speed Message Parsing with msgspec by Talk Python To Me instantly on your tablet, phone or browser - no downloads needed. Compare msgspec vs pydantic-core and see what are their differences. This makes it as easy as possible for people to read your post and help you. Compare mkdocstrings vs pydantic and see what are their differences. json . Compare msgspec vs pydantic and see what are their differences. While Pydantic is a useful library, it has a heavy handed casting approach that can sometimes yield surprising results. (Disclaimer: I'm the main author of msgspec). It helps tremendously to keep the code base readable and predictable without needing to debug or read a ton of tests. Jul 23, 2022 · Hi @jcrist, thanks so much for this. It's on average 50-80x faster than pydantic for parsing and validating JSON [2]. Encoding¶ With the 0. If you're interested in further prior art, we recently added something like this to msgspec (jcrist/msgspec#350), and the dev experience feels pretty nice. Highlights¶ msgspec is fast. msgspec. but your database requires "full_name". While all data coming into our app is validated through pydantic, when we read it back out of the database, use construct(). But now we started to move towards using dataclasses (see sqlalchemy dataclass support) for new code, and slowly converting pydantic models to pydantic dataclass models with the goal of eventually having just sqlalcalchemy dataclasses with pydantic validation (we haven't achieved this yet mind). I use Pydantic, and interchangeably, where needed, msgspec. Jul 3, 2023 · You might also try pydantic_core. sqlmodel vs SQLAlchemy pydantic vs msgspec sqlmodel vs ormar pydantic vs typeguard sqlmodel vs pydantic-sqlalchemy pydantic vs Lark Aug 6, 2023 · Recently I came across msgspec and then Litestar (which just started including msgspec). The ESP32 series employs either a Tensilica Xtensa LX6, Xtensa LX7 or a RiscV processor, and both dual-core and single-core variations are available. 7. Struct): No, I don't. In this section, we will go through the available mechanisms to customize Pydantic model fields: default values, JSON Schema metadata, constraints, etc. Dec 22, 2022 · You can find many implementations of Json Schema validator in many languages those are the tools that you might want to check out in a 1:1 comparison to pydantic. Intro. This can be handled through the use of msgspec. Posted by u/neonklr - 126 votes and 74 comments J'ai rédigé un benchmark rapide comparant les performances de Pydantic Core (le cœur de ce qui sera un jour Pydantic V2) et de msgspec . Stars - the number of stars that a project has on GitHub. Large lists of floats are the main exception where orjson sneaks out ahead, but it's only a 5% difference. Although msgspec and pydantic have different aims and features, it's definitely fair to say pydantic now has a new benchmark to work towards. One of their pieces of feedback is that we should introduce more type safety by using pydantic and/or dataclasses. msgspec VS fastapi Recent benchmarks of pydantic V2 against msgspec show msgspec is still 15-30x faster at JSON encoding, and 6-15x faster at JSON decoding I’m reading in JSON where I want to store about a dozen keys from it in a new class that represents the data I care about. I expect over time pydantic-core will close this gap, it's nice to see the speedups you've achieved so far. The robot calls all the functions registered in its ' pre-call ' list - imagine these as 'before I think' functions. Each object in the code is conceptualised as a robot with memory, the Memory(BaseModel) object (pydantic) is always available and can contain whatever the robot needs to do its job. Those objects need to be serialized to and deserialized from JSON. The other libraries can achieve unit testing for data pipelines but will likely require you to fill in the features you need. They seem to be good at validating that data is within an expected range, of an expected type, etc. msgspec supports multiple serialization protocols, accessed through separate submodules: msgspec. This had some immediate performance benefits, but that's not the main reason we made the switch. Define how data should be in pure, canonical Python 3. Allocating objects in Python can be slow, by specifying the required fields for the query (though a type Dec 16, 2024 · By integrating a type adapter and leveraging Pydantic’s validation mechanisms, we add a layer of assurance that any historical messages and user inputs are well-formed before they reach the model. Msgspec is more than a JSON library; Its distinctive quality is that it combines parsing and schema validation into a single step. Hi there! First of all thanks for your interest and questions. Litestar v2 will have channels and stores(in memory, file based, and Redis if I remember correctly) which can easily be used for caching. The tagline for the library is literally "A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML". Recent benchmark here. 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. msgpack (MessagePack) msgspec. Great to see there is a more mature project doing RPC stuff! Although my tool was focused on fine-grained control over a single state object (which should be a pydantic model). typeguard vs beartype pydantic vs msgspec typeguard vs mypyc pydantic vs Lark typeguard vs react-wasm-github-api-demo pydantic vs mypy CodeRabbit: AI Code Reviews for Developers Revolutionize your code reviews with AI. The thing with Pydantic is, that it's really slow. Benchmark of MsgSpec vs Pydantic for Moscow Python special event 13. 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 :). Core validation logic for pydantic written in rust (by pydantic) 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 The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. --- If you have questions or are new to Python use r/LearnPython 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. More Speed. 1. Installation. if it is the problem, you might think twice if you need all that validation/coerce from pydantic when you are fetching from internal data source, it 00:00 If you're a fan of Pydantic or data classes, you'll definitely be interested in this episode. pydantic-core. Posted by u/RedditTraduction - 1 vote and 1 comment Posted by u/jammycrisp - 4 votes and 1 comment The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. Polyfactory part of the Litestar project and as such actively maintained by a community of maintainers and contributors. I will try to address them one-by-one. Starlite has been renamed to Litestar. 8 8. defstruct, which has a signature similar to dataclasses. At this time it still looks like msgspec is measurably faster though. Like in some places it's showing pydantic examples even though pydantic is now optional. decode的快源于两点： Sep 15, 2023 · The classes must be defined following msgspec specification (similar to pydantic), which derives from "msgspec. com) We would like to show you a description here but the site won’t allow us. Each supports a consistent interface, making it simple to switch between protocols as needed. I only use pydantic to validate user input, such as when building an web API. Compare audiophile-e2e-pipeline vs pydantic and see what are their differences. In addition to this, adding support for another modelling library has been greatly simplified with the new plugin architecture Battle tested — Pydantic is downloaded over 70M times/month and is used by all FAANG companies and 20 of the 25 largest companies on NASDAQ. This can be useful when part of a message already Starlite → Litestar. load多了一点，但收益巨大：同样的硬件条件，使用msgspec. In fact, Polyfactory is pydantic-factories 2. You switched accounts on another tab or window. If I have to be 100% honest, I am liking Python a lot but it is bringing me headaches mainly for the following reason: it looks like a jungle with millions of options for doing the same thing and I got systematically caught by the so-called “decision paralysis”. See full changelog here Locked post. When coding things that are for my use or my colleagues use, I use type hints but not pydantic. A Simple Example pydantic 不支持位置参数; pydantic 的输出有点奇怪，没有带上类名; pydantic 不支持 slots 和 programmatic creation; pydantic 不支持 Collection 类型; 在参考文章中还提到了 pydantic 对 unions 的策略有问题，不容易定制，并且对定制的（非）结构化的支持很弱。 Feb 27, 2025 · Litestar is a powerful, flexible yet opinionated ASGI framework, focused on building APIs, and offers high-performance data validation and parsing, dependency injection, first-class ORM integration, authorization primitives, and much more that's needed to get applications up and running. 4. The new subreddit for the Litestar (fka Starlite) API project, a blazingly fast ASGI Python framework Compare orjson, msgspec, pydantic. It worked well enough - but obviously didn't jive with something like mypy. 복잡한 모델링을 하다보면 nested model 을 사용하는 일이 왕왕 있다. Pydantic V2 is coming along nicely, and has some very measurable speedups against V1 (yay!). A fast serialization and validation library, with builtin support for JSON, MessagePack Apr 23, 2023 · msgspec[1] is another parsing/validation library, written in C. Struct classes at runtime. --- If you have questions or are new to Python use r/LearnPython msgspec is designed to be as performant as possible, while retaining some of the nicities of validation libraries like pydantic. Much easier for a method to receive a pydantic model than to receive a dict() and hope the keys are all set. all the other attributes map 1 to 1. I love msgspec, it's much simpler in implementation. Pydantic-factories and Polyfactory have a lot in common. Only thing I disliked so far is that the documentation seemed inconsistent/outdated sometimes. model_validate(pydantic_core. , but I need a little more. 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. Raw lets the encoder avoid re-encoding the message, instead it will simply be copied to the output buffer. Help. Join me and Jim Crist Harif to talk 23 votes, 11 comments. A good demonstration of that is when comparing the graphs for dataclasses vs. 5x faster than Pydantic V2 msgspec decodes ~30x faster than Pydantic V1. 08. No Losses. Saw a consistent 550% improvement in this area. Full support for validation and serialisation of attrs classes and msgspec Structs. This behavior is documented and I would suggest exploring the casting/conversion prior to adoption of the library for your app/project. The user might send some json data, and I use a pydantic class to validate that the data received contains all the required arguments with the correct types. Are there plans for pydantic (or msgspec) support? I just posted a very similar (but more limited) tool literally a few days ago. msgspec is designed to be as performant as possible, while retaining some of the nicities of validation libraries like pydantic. This is a subreddit for news and discussion of Old School Renaissance topics. Now with the rust rewrite, it's still faster in some cases and slower in others. Wrapping an already encoded buffer in msgspec. 4 73 2,019 9. Cool seeing you posting here, I was benchmarking msgspec vs Flask’s json decoder + draft7v a couple of days ago. As long as you control database writes msgspec also has parsing/validation capabilities to Pydantic, albeit more limited. from_json (as in model. Dec 4, 2023 · Intro and Takeaways I recently started investigating performance differences between the different data class libraries in Python: dataclass, attrs, and pydantic. (by pawamoy) We would like to show you a description here but the site won’t allow us. Pydantic will not go away though, and we have no plans of dropping support for it in any shape or form. 0, we introduced msgspec as our serialization backend, replacing orjson. Pydantic examples¶ Jun 30, 2024 · The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. See documentation for more details. Per my benchmarks msgspec is generally as fast or faster than any other JSON library in Python. 7+; validate it with pydantic. 259 subscribers in the litestarapi community. 8 Python msgspec VS pydantic Data validation using Python type hints starlite. I wrote this post partly to rein in the chaos, and partly to better understand the data class landscape. This is the biggest optimization that differentiates msgspec from other libraries. defstruct for more information. Get to know about a Python package or Compare Python packages download counts and their Github statistics The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives. from_json(data))) - from_json isn't yet faster than orjson (although I'm hoping to get there in future), but it's generally faster than json. fields. While I haven’t used them. They should be equivalent from a 3 176 22,606 9. For encoding, it's pretty much always the fastest option. Also, in our testing, even with the incredible Rust-powered updates by the Pydantic team, msgspec is still faster in ser/de and validation. The line chart is based on worldwide web search for the past 12 months. I’ve been hacking on zarr-python-v3 a bit, which uses some dataclasses to represent some metadata objects. I think I have detected some formatting issues with your submission: Python code found in submission text that's not formatted as code. Compare pydantic, typing, msgspec. My intended use of Python is data science. What I was missing is a standalone way of validating already decoded payloads (as in dictionary validation). Avoiding unnecessary encoding cost. Also check out pydantic and marshmellow. The results: For this benchmark, msgspec is ~2. The model will be defined per service as PyDantic model, using their validation infrastructure. See msgspec. Interest over time of msgspec and pydantic Note: It is possible that some search terms could be used in multiple areas and that could skew some graphs. lekukcv zfszs houbn qdwn ybzku jgy dewvb tvslsnq blobw nysurn alsd ove scofk sxzwp vtvauw