juniper
fastapi
juniper | fastapi | |
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11 | 471 | |
5,569 | 71,659 | |
1.1% | - | |
8.8 | 9.8 | |
3 days ago | 4 days ago | |
Rust | Python | |
GNU General Public License v3.0 or later | 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.
juniper
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New Rustacean Looking For Guidance
juniper
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Hey! TS dev looking for Rust project to begin.
GraphQL is also an option. https://github.com/graphql-rust/juniper
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A question about Warpgrapher (framework for creating data model-driven GraphQL API services)
Juniper has plenty of popularity, so I guess it's Rust + graph DB that doesn't get much love then... :/
- Juniper - Graphql server library for rust
- Building a type-safe Fullstack Application with GraphQL codegen
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rusty-gql Schema first GraphQL library for Rust
rusty-gql would not be able to release without async-graphql and juniper.
- GraphQL Server Library for Rust
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Looking for GraphQL server with ws-transport ability
I'm looking for graphql server that can do queries and mutations over websocket, like subscriptions-transport-ws. Juniper and async-graphql both looks promising and async-graphql at least uses wording Subscriptions (WebSocket transport) in features but i couldn't find much more or any examples about that from the docs or repo.
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Is graphQL generally worse at performance than REST?
We also don’t use Node anymore. We found Node in general to be incredibly slow, not to mention single threaded. Admittedly, we did use Node (Apollo) though up until about two years ago. Now, depending on use-case, we will use Go (https://github.com/99designs/gqlgen) or Rust (https://github.com/graphql-rust/juniper). Both outperform a Node gateway but significant margins.
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[Question] Streams with Graphql Subscriptions / PubSub
(example from the docs async-graphql https://async-graphql.github.io/async-graphql/en/subscription.html, juniper: https://github.com/graphql-rust/juniper/blob/master/docs/book/content/advanced/subscriptions.md)
fastapi
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Github Sponsor Sebastián Ramírez Python programmer
He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.
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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.
What are some alternatives?
async-graphql - A GraphQL server library implemented in Rust
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
dropshot - expose REST APIs from a Rust program
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
gqlgen - go generate based graphql server library
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
rust-graphql-actix-juniper-diesel-example - Rust, Actix, Juniper and Diesel example project
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
graphql-playground - 🎮 GraphQL IDE for better development workflows (GraphQL Subscriptions, interactive docs & collaboration)
Flask - The Python micro framework for building web applications.
Rust-Game-Template - Rust template for a 2d retro type game 🎉🕹
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.