BlackSheep
pydantic
BlackSheep | pydantic | |
---|---|---|
4 | 167 | |
1,731 | 18,733 | |
2.0% | 2.7% | |
7.7 | 9.8 | |
12 days ago | 3 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
BlackSheep
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[Guide] A Tour Through the Python Framework Galaxy: Discovering the Stars
Try BlackSheep | Kore | socketify | baize
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Starlite development updates January ’23
As you can see, in this benchmark Starlite handily beats even blakchseep, a notoriously fast ASGI framework written in Cython
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FastAPI - stable enough for production grade, scalable app?
If you have something that really needs to go fast, I recommend blacksheep. FastAPI is slow as molasses compared to blacksheep, and as of to date, the fastest python async web framework with the established feature set. It’s written in cython, so that might something to consider if you want to work with the source code somehow.
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Social media app made with FastAPI
Personally I haven’t used it outside of trying a few very basic things. I’d recommend blacksheep if you want small, performant and low overhead, or sanic which, in my opinion, is the best choice if you do not need all the Django fluff.
pydantic
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Advanced RAG with guided generation
First, note the method prefix_allowed_tokens_fn. This method applies a Pydantic model to constrain/guide how the LLM generates tokens. Next, see how that constrain can be applied to txtai's LLM pipeline.
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utype VS pydantic - a user suggested alternative
2 projects | 15 Feb 2024
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
- Pydantic v2 ruined the elegance of Pydantic v1
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Ask HN: Pydantic has too much deprecation. Why is it popular?
I like some of the changes from v1 to v2. But then you have something like this [0] removed from the library without proper documentation or replacement, resulting in ugly workarounds in the link that wont' work properly.
[0]: https://github.com/pydantic/pydantic/discussions/6337
- OpenAI uses Pydantic for their ChatCompletions API
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🍹GinAI - Cocktails mixed with generative AI
The easiest implementation I found was to use a PyDantic class for my target schema — and use that as a parameter for the method call to “ChatCompletion.create()”. Here’s a fragment of the GinAI Python classes used.
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FastStream: Python's framework for Efficient Message Queue Handling
Also, FastStream uses Pydantic to parse input JSON-encoded data into Python objects, making it easy to work with structured data in your applications, so you can serialize your input messages just using type annotations.
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Introducing FastStream: the easiest way to write microservices for Apache Kafka and RabbitMQ in Python
Pydantic Validation: Leverage Pydantic's validation capabilities to serialize and validate incoming messages
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Cannot get Langchain to work
Not sure if it is exactly related, but there is an open issue on Github for that exact message.
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FastAPI 0.100.0:Release Notes
Well the performance increase is so huge because pydantic1 is really really slow. And for using rust, I'd have expected more tbh…
I've been benchmarking pydantic v2 against typedload (which I write) and despite the rust, it still manages to be slower than pure python in some benchmarks.
The ones on the website are still about comparing to v1 because v2 was not out yet at the time of the last release.
pydantic's author will refuse to benchmark any library that is faster (https://github.com/pydantic/pydantic/pull/3264 https://github.com/pydantic/pydantic/pull/1525 https://github.com/pydantic/pydantic/pull/1810) and keep boasting about amazing performances.
On pypy, v2 beta was really really really slow.
What are some alternatives?
socketify.py - Bringing Http/Https and WebSockets High Performance servers for PyPy3 and Python3
Cerberus - Lightweight, extensible data validation library for Python
sanic - Accelerate your web app development | Build fast. Run fast.
nexe - 🎉 create a single executable out of your node.js apps
starlite - Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs [Moved to: https://github.com/litestar-org/litestar]
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
SQLAlchemy - The Database Toolkit for Python
aiomonitor - aiomonitor is module that adds monitor and python REPL capabilities for asyncio application
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
uvicorn-gunicorn-docker - Docker image with Uvicorn managed by Gunicorn for high-performance web applications in Python with performance auto-tuning.
mypy - Optional static typing for Python