awesome-appwrite
pydantic
Our great sponsors
awesome-appwrite | pydantic | |
---|---|---|
18 | 166 | |
917 | 18,226 | |
3.3% | 4.2% | |
7.2 | 9.8 | |
4 months ago | about 10 hours ago | |
Python | ||
- | 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.
awesome-appwrite
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Announcing the Built With Appwrite Platform
A big part of growing Appwrite’s developer ecosystem is providing the right platform for our builders to showcase their works with Appwrite to our community so that they can gain better visibility, feedback, and usage. For the last couple of years, that has exclusively been the awesome-appwrite repository we have on Appwrite’s GitHub organization.
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A Guide On Appwrite
You should now have a good understanding of how Appwrite works, its features, and services. You can join Appwrite's Discord community here. to learn more about it. You can also visit its webpage. or repository .for additional information and resources.
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Appwrite's Hacktoberfest '22 Journey
Hacktoberfest may be over, but you don’t have to stop contributing! We have lots of open issues that you can find on our GitHub repo. Moreover, many of our Hacktoberfest issues are still open for assignment! You can also write articles, create tutorials, or build demo apps and add them to our Awesome Appwrite repo. There are always new ways to support the community, and we truly love all the contributions you make. If you need help with Appwrite or would like to explore some interesting ways to contribute, join us on our Discord server and connect with the Appwrite community ❤️.
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Announcing Appwrite 1.0
You can check out our relatively new Youtube channel: https://www.youtube.com/c/Appwrite - there also more video tutorials available by community members and more resources on: https://github.com/appwrite/awesome-appwrite
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Migrate Firebase Users to Appwrite
Our list of awesome tutorials, videos, and demos keeps growing. Head to the awesome-appwrite repo to check them out.
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Phone Authentication with Appwrite and Twilio
Appwrite Resource Showcase
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Appwrite Community Report #4
30 days of Appwrite is now updated, have you checked them out already? 30 Days of Appwrite - Appwrite 30 Days of Appwrite is a month long event focused at teaching you about all of Appwrite's core concepts and getting you ready to build production ready apps with Appwrite. 30days.appwrite.io We are awaiting to see what you build, be sure to drop them here .
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Appwrite Community Report #3
We are awaiting to see what you build, be sure to drop them here.
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A Self Hosted and Open Source Alternative to Google’s Firebase
We have a bunch of Appwrite related resources over at https://github.com/appwrite/awesome-appwrite which you can also check out
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Appwrite's Hacktoberfest '21 Journey
Hacktoberfest may be over but you don’t have to stop contributing! We have lots of open issues that you can find on our GitHub repo. Moreover, many of our Hacktoberfest issues are still open for assignment! You can also write articles, create tutorials or build demo apps and add them to our Awesome Appwrite repo. There are always new ways to support the community and we truly love all the contributions you make. If you need help with Appwrite or would like to explore some interesting ways to contribute, join us on our Discord server and connect with the Appwrite community ❤️.
pydantic
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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
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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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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.
- Pydantic 2.0
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[DISCUSSION] What's your favorite Python library, and how has it helped you in your projects?
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.
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popularity behind pydantic
I did read this ... Pydantic Docs.
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Guide to Serverless & Lambda Testing — Part 2 — Testing Pyramid
Schema validations logic — I use Pydantic for input validation and schema validation (boto responses, API responses, input validation, etc.) use cases. The Pydantic schema can contain type and value constraint checks or even more complicated logic with the custom validator code.
What are some alternatives?
Cerberus - Lightweight, extensible data validation library for Python
nexe - 🎉 create a single executable out of your node.js apps
msgspec - A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML
SQLAlchemy - The Database Toolkit for Python
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]
phonenumbers - Python port of Google's libphonenumber
dacite - Simple creation of data classes from dictionaries.
Lark - Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
beanie - Asynchronous Python ODM for MongoDB
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.