marisa-trie
pydantic
marisa-trie | pydantic | |
---|---|---|
1 | 167 | |
1,014 | 18,854 | |
0.9% | 3.3% | |
5.9 | 9.8 | |
9 days ago | 8 days ago | |
Cython | Python | |
MIT License | MIT License |
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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.
marisa-trie
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Optimizing Memory Usage of Python Applications
Optimizing applications is difficult problem in general. It also heavily depends on the task at hand as well as the type of data itself. In this article we looked at common ways to find memory usage issues and some options for fixing them. There are however many other approaches to reducing memory footprint of an application. This includes trading accuracy for storage space by using probabilistic data structures such as bloom filters or HyperLogLog. Another option is using tree-like data structures like DAWG or Marissa trie which are very efficient at storing string data.
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?
DSAlgo - 📚A repository that contains all the Data Structures and Algorithms concepts and solutions to various problems in Python3 stored in a structured manner.👨💻🎯
Cerberus - Lightweight, extensible data validation library for Python
DAWG - DAFSA-based dictionary-like read-only objects for Python. Based on `dawgdic` C++ library.
nexe - 🎉 create a single executable out of your node.js apps
data-structures - A collection of powerful data structures
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
laravel-nestedset - Effective tree structures in Laravel 4-8
SQLAlchemy - The Database Toolkit for Python
Closure Tree - Easily and efficiently make your ActiveRecord models support hierarchies
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
mypy - Optional static typing for Python
pyparsing - Python library for creating PEG parsers [Moved to: https://github.com/pyparsing/pyparsing]