pydantic
sqlmodel
Our great sponsors
pydantic | sqlmodel | |
---|---|---|
167 | 23 | |
18,617 | 12,949 | |
4.3% | - | |
9.8 | 8.5 | |
1 day ago | 2 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.
pydantic
-
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.
-
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
-
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
-
🍹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.
-
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.
-
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
-
Cannot get Langchain to work
Not sure if it is exactly related, but there is an open issue on Github for that exact message.
-
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.
sqlmodel
-
SQLModel with the same relationship column twice
Seems like this is a known bug in SQLModel: https://github.com/tiangolo/sqlmodel/issues/10
-
Best ORM to use with FastAPI?
I have not used it myself but the creator of fastapi has made https://github.com/tiangolo/sqlmodel
-
SQLAlchemy: Parent instance is not bound to a Session; lazy load operation of attribute cannot proceed
I have already posted this question in Stack Overflow and GitHub and have been ignored in both 😢. You guys are my last hope.
-
I wrote okjson - A fast, simple, and pythonic JSON Schema Validator
I had a requirement to process and validate large payloads of JSON concurrently for a web service, initially I implemented it using jsonschema and fastjsonschema but I found the whole JSON Schema Specification to be confusing at times and on top of that wanted better performance. Albeit there are ways to compile/cache the schema, I wanted to move away from the schema specification so I wrote a validation library inspired by the design of tiangolo/sqlmodel (type hints) to solve this problem easier.
- Django Ninja – Fast Django REST Framework for Building APIs
-
Trending Python Projects of the Week
Github Repository
-
Tuesday Daily Thread: Advanced questions
I would say as long as your current solution works and is easy to maintain keep it. If you want to switch I would recommend FastAPI, it is new(ish), but definitely old enough to have been tested and used in a large variety of production usecases. In your case it might be interesting to have a look at SQLModel (works with FastAPI, same author), especially if the API endpoints match closely to the database objects. https://github.com/tiangolo/sqlmodel
-
The hand-picked selection of the best Python libraries released in 2021
SQLModel.
-
Pydbantic - A single model ( DB & Pydantic) with automatic migrations
Sounds similar to https://github.com/tiangolo/sqlmodel
-
tiangolo/SQLModel DoA?
There was a lot of hype and excitement around the release of SQLModel, a Pydantic + SQLAlchemy hybrid Model library with native integration for FastAPI. I pulled it out just now and there hasn't been any update beyond the initial anouncment on August 25th.
What are some alternatives?
Cerberus - Lightweight, extensible data validation library for Python
pydantic-sqlalchemy - Tools to convert SQLAlchemy models to Pydantic models
nexe - 🎉 create a single executable out of your node.js apps
SQLAlchemy - The Database Toolkit for Python
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
ormar - python async orm with fastapi in mind and pydantic validation
geojson-pydantic - Pydantic data models for the GeoJSON spec
mypy - Optional static typing for Python
sqlalchemy-hana - SQLAlchemy Dialect for SAP HANA
pyparsing - Python library for creating PEG parsers [Moved to: https://github.com/pyparsing/pyparsing]
datamodel-code-generator - Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.