graphql-playground
fastapi
graphql-playground | fastapi | |
---|---|---|
16 | 470 | |
8,691 | 71,223 | |
0.2% | - | |
0.0 | 9.8 | |
about 2 months ago | 5 days 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.
graphql-playground
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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
- ISO: Library for a quick GraphQL frontend
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Exploring GraphiQL 2 Updates and New Features
GraphiQL is a tool that was created to help developers explore GraphQL APIs, maintained by the GraphQL Foundation. But when GraphiQL became more and more popular, developers started to create additional GraphQL IDEs. A good example of this was GraphQL Playground, which quickly became the most popular GraphQL IDE. It was loosely based on GraphiQL, but had more features and a better UI.
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Why Is It So Important To Go To Meetups
I went to a GraphQL meetup and they used the gql playground and a similar schema generator to what I was using, and it made me feel relevant.
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GraphQL subscriptions at scale with NATS
Here, we'll create a simple GraphQL server and subscribe to a subject from our resolver. We'll use GraphQL playground to mock client side behavior. Once we're connected we'll use NATS CLI to send a payload to our subject and see the changes on the client.
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GraphQL vs REST in .NET Core
Now we can consume created GraphQL API. In the GitHub Repo same functionality has been added with REST approach and GraphQL endpoint. Also widely used Swagger configured for Web API Endpoints as well as AltairUI added for GraphQL endpoint testing. Naturally, AltairUI it not a must for GraphQL, you can also use Swagger, GraphiQL, or GraphQL Playground.
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Creating GraphQL Api Using NestJS For Multiple Databases
Navigate to http://localhost:3000/graphql. NestJS uses graphql playground by default. It's a lovely GraphQL IDE. We can check our schema here.
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In any way get the previous graphql playground instead of apollo sandbox?
GraphQL Playground is usable in various ways. I recommend checking out the readme over here: https://github.com/graphql/graphql-playground
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Keeping certain parts of your GraphQL schema hidden from Introspection
GraphQL is a popular and powerful way to build your APIs and power your website; we use it for most of our APIs at Anvil. One of the best things about GraphQL is that it provides an Introspection Query capability which allows users to explore and learn about what's possible in a given API. In that way, GraphQL is "self-documenting". Some great tools like Playground and Anvil's own SpectaQL leverage the Introspection Query.
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Autogenerate GraphQL API documentation with SpectaQL
Traditionally, most of the above problems have been pretty unavoidable, but at Anvil most of our APIs are implemented in GraphQL. GraphQL requires the definition of a schema that describes all the types, fields, methods, arguments, return types, etc, and even allows for descriptions of most things to be included. In this way, GraphQL implementations are pretty self-describing, and great tools like GraphiQL or Playground already exist to leverage this attribute of the framework. Because of all this, I knew that there must be a better way to do documentation in GraphQL-land, and I sought out to find it.
fastapi
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Github Sponsor Sebastián RamĂrez 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?
graphiql - GraphiQL & the GraphQL LSP Reference Ecosystem for building browser & IDE tools.
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
spectaql - Autogenerate static GraphQL API documentation
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
graphql-voyager - 🛰️ Represent any GraphQL API as an interactive graph
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
prisma-dbml-generator - Prisma DBML Generator
django-ninja - đź’¨ Fast, Async-ready, Openapi, type hints based framework for building APIs
nestjs-graphql-prisma-realworld-example-app - Example real world application built with NestJS, Prisma and GraphQL
Flask - The Python micro framework for building web applications.
dociql - A beautiful static documentation generator for GraphQL
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.