graphiql
fastapi
graphiql | fastapi | |
---|---|---|
41 | 469 | |
15,688 | 71,223 | |
0.4% | - | |
8.9 | 9.8 | |
6 days ago | 1 day ago | |
TypeScript | 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.
graphiql
- FLaNK 15 Jan 2024
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Migrating Netflix to GraphQL Safely
> FYI, GraphiQL is deprecated, GraphQL Playground is a good alternative.
You have this backwards.
https://github.com/graphql/graphql-playground/issues/1366#is...
https://github.com/graphql/graphiql
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Build Smarter, Not Harder: Simplifying Backend Workflows with Build-time GraphQL
GraphQL is declarative and self-documenting by nature. There’s a single endpoint, and all available data, relationships, and APIs can be explored and consumed by client teams (via the GraphiQL interface or just Introspection) without constantly going back and forth with backend teams.
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GraphQL IDEs: GraphiQL vs Altair
GraphiQL is one of the most well-known GraphQL IDEs. Originally developed by Facebook, it is an in-browser tool that enables developers to write, validate, and test GraphQL queries. It is open-source and can be integrated into any project that uses GraphQL. Recently, GraphiQL has been revamped with a new UI and several new features as you can read in ths blog post I wrote earlier.
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React.dev
Nice! I think you might like it.
Ah yeah, that does take a while to unpack. I think a lot of the complexity there is dealing with a non-react library and the dynamic import(s). Binding non-react libraries can be a bit rough.
I do think it's a good example to show the big advantage of hooks, if you look at the use of the hook, super clean: https://github.com/graphql/graphiql/blob/50674292c55eadf0e61...
Great way to contain complexity and make usage really clean and simple!
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Is there anything like a GraphQL playground for testing various features of GraphQL?
Graphiql: https://github.com/graphql/graphiql
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Exploring GraphiQL 2 Updates and New Features
After GraphQL Playground became part of the GraphQL Foundation, the need for having just one GraphQL IDE became more important. So the GraphQL Foundation decided to merge GraphiQL and GraphQL Playground into one tool. GraphiQL 1 relied on major tech debt and multiple dependencies that were outdated and hard to maintain. With the merge of GraphiQL and GraphQL Playground, the GraphQL Foundation decided to create a new version of GraphiQL, which is now called GraphiQL 2. The design and creation of GraphiQL 2 was all documented in Github.
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Vue3 + GraphQL : Best way to structure project & queries?
#3: As I mentioned above, we use GraphQL Code Generator for generating TypeScript types and composables, as well as type checking our queries against the schema. This results in fully type-safe code from the back-end all the way to the front-end. As far as editor extensions go, the GraphQL: Language Feature Support VSCode extension should work fine, I use the language server part of that extension with Neovim. It provides autocompletion based on the schema and diagnostics. It looks like it might not work in .vue files though.
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React Real Time Messaging With GraphQL
OneGraphiQL is a data explorer that allows us to build up our GraphQL queries and mutations. It is the OneGraph implementation of GraphiQL, which can be used with any GraphQL endpoint. GraphiQL is the perfect way to discover the different things we can request. It is generated from the GraphQL schema and provides helpful documentation for the graph's queries, mutations and types. Additionally, it can intelligently suggest options while we are building our queries and mutations.
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Apollo federated graph is not presenting its schema to graphiql with fields sorted lexicographically
If this is a critical functionality, you could raise an issue (with proper reasons why it is important) for sort support either in graphql-js or GraphiQL (guessing this would be a better place) repositories.
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?
graphql-playground - 🎮 GraphQL IDE for better development workflows (GraphQL Subscriptions, interactive docs & collaboration)
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
altair - ✨⚡️ A beautiful feature-rich GraphQL Client for all platforms.
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
spectaql - Autogenerate static GraphQL API documentation
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
dociql - A beautiful static documentation generator for GraphQL
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
apollo-server - 🌍 Spec-compliant and production ready JavaScript GraphQL server that lets you develop in a schema-first way. Built for Express, Connect, Hapi, Koa, and more.
Flask - The Python micro framework for building web applications.
Hugo - The world’s fastest framework for building websites.
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.