Absinthe Graphql
fastapi
| Absinthe Graphql | fastapi | |
|---|---|---|
| 8 | 468 | |
| 4,224 | 71,023 | |
| 0.3% | - | |
| 8.1 | 9.8 | |
| 4 days ago | 7 days ago | |
| Elixir | 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.
Absinthe Graphql
- Consumindo GraphQL com Elixir?
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Building JSON API w/ Authentication as a backend for a mobile app?
The Elixir ecosystem loves GraphQL so, if you're interested in going that direction, there's good tooling and plenty of support with absinthe.
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How we built open source Kahoot! alternative with Elixir and GraphQL
We did not expect GraphQL tooling in Elixir to be so good. Absinthe is a comprehensive GraphQL toolkit for Elixir that is incredible to use.
- We Got to LiveView
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GraphQL Schema Stitching
https://github.com/absinthe-graphql/absinthe/issues/387#issuecomment-730726272
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Backend and frontend deployment: single service vs multiple services
Thanks for the other suggestions also, I've never tried lodash but it looks interesting. The REST API stuff should be doable, it's just that I've never done this before. I've built small and simple APIs but never had to integrate them with a frontend. Elixir has a Absinthe to deal with GraphQL, but I don't think I need it right now, so REST is easier.
- Looking for an Open Source project to join part time
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Reusable enums in Absinth
Actually, dynamic Enum values support was added to absinthe v1.6.0 (https://github.com/absinthe-graphql/absinthe/pull/1023, released 2 months ago) and list support was fixed in v1.6.2 (https://github.com/absinthe-graphql/absinthe/pull/1041, released almost a month ago). It looks like you don't need to add such workarounds since then.
fastapi
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Python: A SQLAlchemy Wrapper Component That Works With Both Flask and FastAPI Frameworks
It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.
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FastAPI Best Practices: A Condensed Guide with Examples
FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.
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Building an Email Assistant Application with Burr
In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it.
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FastAPI Got Me an OpenAPI Spec Really... Fast
That’s when I found FastAPI.
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How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
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Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
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LangChain, Python, and Heroku
An API application framework (such as FastAPI)
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Litestar – powerful, flexible, and highly performant Python ASGI framework
It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.
This ends up made worse if you’re using sync routes.
If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.
This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759
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AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
- Ask HN: What is your go-to stack for the web?
What are some alternatives?
phoenix-liveview-counter-tutorial - 🤯 beginners tutorial building a real time counter in Phoenix 1.7.7 + LiveView 0.19 ⚡️ Learn the fundamentals from first principals so you can make something amazing! 🚀
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
graphql - GraphQL Elixir
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
Alpine.js - A rugged, minimal framework for composing JavaScript behavior in your markup.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
SPARQL.ex - An implementation of SPARQL for Elixir
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
absinthe_gen - Scaffold generator for elixir phoenix absinthe projects
Flask - The Python micro framework for building web applications.
vscode-elixir - This plugin is no longer maintained!
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.