surface
fastapi
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surface | fastapi | |
---|---|---|
11 | 465 | |
1,992 | 70,779 | |
1.6% | - | |
7.9 | 9.8 | |
16 days ago | 5 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.
surface
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htmlgui.nvim - Create html + css + lua apps with neovim as 'browser'. ( proof of concept )
I should have been more clear that my intent was to create/use a compiler for some kind of component syntax. There are lots of them, from Surface (Elixir), Blade (PHP/Laravel), and JSX (React, Vue, Etc)
- Would you still choose Elixir/Phoenix/LiveView if scaling and performance weren’t an issue to solve for?
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Why I selected Elixir and Phoenix as my main stack
There I learned more deeply about LiveView and Surface UI.
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Something similar to Vuetify for Phoenix LiveView?
I think Surface is the ideal candidate for this. But it doesn’t have the components you are looking for but you can build anything with it. Hopefully, in future we can have set of headless components built using Surface 🤞
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Single source of truth with Phoenix LiveView
I have worked with Phoenix LiveView and Surface-UI for about a year; I would like to share some of the things I learned the hard way.
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Course/Extensive tutorials for Phoenix 1.6?
This is just an idea, but what about implementing using Phoenix.View(via use MyAppWeb, :view in your module)? Then assign I think has access to @conn. Then maybe work some magic to still allow Phoenix.Component syntax - but at this point, this is something I believe is a flow that might be in development. Try investigating / asking in Surface, because that is a lot more similar to React in its approach. In fact, I think Surface is where more aggressive features are pushed out, and ironed-out features get included into Phoenix. This was the case for Phoenix.Component, and HEEX.
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Porting files generated by phoenix to surface
This post is intended to get you started with surface provided components. I provided the original code and surface versions so you can compare the differences yourself without installing anything. After installing surface following the installation guide https://surface-ui.org/getting_started add surface_bulma in your mix.exs, this will allow you to use the table component.
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We Got to LiveView
I totally get the "Am I doing this the right way?" feeling, especially coming from Rails where everything was so opinionated and wanting to stay idiomatic.
Phoenix, while it does have opinions, is far less opinionated in the sense that it doesn't do it darndest to force you into certain conventions (for example, if your module name doesn't match your file name, Phoenix won't complain). Its generators do try and push you toward using good DDD practices (which is my opinion is a GREAT thing), but of course the generators are completely optional.
I don't have experience writing large LiveView apps but I would say that if you are familiar with any component-based frameworks (like React), I would take a look at SurfaceUI[1]. It simplifies a few "gotchas" in LiveView (though I would say they are very minor gotchas and worth learning about at some point) and gives you a component-rendering syntax more like React. Once you get going, you'll learn that LiveView doesn't have all the headaches that come with bigger React apps (like having to memoize functions or comparing props to avoid a re-render and whatnot). The recent release candidate for Phoenix 1.6 has made strides for a cleaner component syntax, but if you're having trouble with LiveView, Surface might bring some familiarity.
[1] https://github.com/surface-ui/surface
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Phoenix 1.6.0-RC.0 Released
Have you seen Surface UI? Pretty cool. Collection of LiveView components. https://surface-ui.org/
- Surface UI – A server-side rendering component library for Phoenix
fastapi
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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.
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Effortless API Documentation: Accelerating Development with FastAPI, Swagger, and ReDoc
FastAPI is a modern, fast web framework for building APIs with Python 3.7+ that automatically generates OpenAPI and JSON Schema documentation. While FastAPI simplifies API development, manually creating and updating API documentation can still be a time-consuming task. In this blog post, we’ll explore how to leverage FastAPI’s automatic documentation generation capabilities, specifically focusing on Swagger and ReDoc, and how to streamline the process of documenting your APIs.
What are some alternatives?
react_phoenix - Make rendering React.js components in Phoenix easy
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
torch - A rapid admin generator for Elixir & Phoenix
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
phx_component_helpers - Extensible Phoenix liveview components, without boilerplate
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
phoenix_live_view - Rich, real-time user experiences with server-rendered HTML
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Raxx - Interface for HTTP webservers, frameworks and clients
Flask - The Python micro framework for building web applications.
plug - Compose web applications with functions
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.