thin-backend-todo-app
fastapi
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thin-backend-todo-app | fastapi | |
---|---|---|
4 | 466 | |
11 | 70,779 | |
- | - | |
10.0 | 9.8 | |
almost 2 years ago | 8 days ago | |
JavaScript | 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.
thin-backend-todo-app
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Thin Backend - Instant Postgres Backend for React/Vue/Svelte/... Apps with Realtime, Optimistic Updates & Auto-generated TypeScript Bindings
In the early development phase we actually added GraphQL support to Thin. It was removed as we figured out that a lot of the common CRUD operations would take a lot more boilerplate code when doing it with GraphQL. Now our API consists of high level functions like `createRecord(tableName, object)` and `useQuery(query(tableName))`. You can find some example code here: https://github.com/digitallyinduced/thin-backend-todo-app/blob/main/app.tsx
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Thin Backend: Instant API for your Postgres DB
If you want to play around with Thin, you can find a small example app here. It's running on Vercel here.
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GraphJin – An Instant GraphQL to SQL Compiler
If you're looking for something like GraphJin, PostGraphile or Hasura but with less boilerplate and complexity, more end-to-end typesafe approach and optimistic updates, check out Thin Backend https://thin.dev/ (https://github.com/digitallyinduced/thin-backend)
Thin Backend takes a bit more of a higher level approach to database operations than services like GraphJin, but solves fundamentally the same problem. Doing things in a more structured way also allows us to do things like optimistic updates by default that require manual work with GraphQL tools.
To see some code examples, here's a small example project done with thin-backend: https://github.com/digitallyinduced/thin-backend-todo-app It's running on Vercel here: https://thin-backend-todo-app.vercel.app/
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Thin Backend - Instant Postgres Backend for React Apps with Realtime, Optimistic Updates & Auto-generated TypeScript Bindings
} ``` Live example here: https://thin-backend-todo-app.vercel.app/ Full Code: https://github.com/digitallyinduced/thin-backend-todo-app
fastapi
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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?
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Fun with Avatars: Crafting the core engine | Part. 1
We will create our API using FastAPI, a modern high-performance web framework for building fast APIs with Python. It is designed to be easy to use, efficient, and highly scalable. Some key features of FastAPI include:
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Building Fast APIs with FastAPI: A Comprehensive Guide
FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework.