nicegui
fastapi
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nicegui | fastapi | |
---|---|---|
179 | 466 | |
7,403 | 71,023 | |
7.8% | - | |
9.9 | 9.8 | |
about 13 hours ago | 2 days ago | |
Python | 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.
nicegui
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FastUI: Build Better UIs Faster
I was looking at this space and nicegui seemed like the best ootb experience.
https://nicegui.io/
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Show HN: Hyperdiv – Reactive, immediate-mode web UI framework for Python
Dash is similar in spirit, as a "build web UIs with Python" framework. Dash seems more similar to nicegui (https://nicegui.io) architecturally than to Hyperdiv. Like nicegui, it builds a static dom that is then mutated via callbacks or data bindings.
By contrast, Hyperdiv lays out UI declaratively based on state, and when state changes, the app re-runs, generating an updated UI. Streamlit and Hyperdiv seem to work similarly, though I'm not sure how Streamlit handles state and state-based layout.
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PysimpleGUI
For native GUI, DearPyGui[0] as modern as you can.
For browser web-based GUI, you can use nicegui[1]
[0] -- https://github.com/hoffstadt/DearPyGui
[1] -- https://github.com/zauberzeug/nicegui
- Python GUI libraries recommendations?
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Learning building webpages and websites in Python
I want to bring to attention a set of frameworks that make webdevelopment using Python simple and fun. The popular opinion maybe that webpages developed with Python maybe slow. But this is not the case. Do checkout https://github.com/ofjustpy/ofjustpy/, https://github.com/zauberzeug/nicegui/ and https://github.com/justpy-org/justpy . All these frameworks are build on top of Starlette and make web development really easy. If you want simple and ready to use the nicegui is the choice. If you want fast, scalable, and more control then give ofjustpy a try.
- Updating the progress in UI from run.cpu_bound method
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Moving from Streamlit to Nicegui
Yes, NiceGUI aims for a very gentle learning curve. Coming from Streamlit I suspect your main adaptation will be that in NiceGUI you need to write valid Python code. Streamlit constantly reevaluates your script which feels nice and easy but creates lots of problems down the road. See https://github.com/zauberzeug/nicegui/discussions/21.
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Show HN: Dropbase – Build internal web apps with just Python
Auth is a big limitation. It's not a built-in component, they have [an example](https://github.com/zauberzeug/nicegui/blob/main/examples/aut...) using the FastAPI layer for auth, but I haven't had time the time to try implementing it. It's definitely not something you get out of the box with NiceGUI.
For scaling, I am viewing it mostly as an internal tool builder. I wouldn't recommend it for external applications. So as far as scaling an internal app I think it works fine. [Their website](https://nicegui.io) is built with NiceGUI, and it works fine, but you can feel the lag occasionally on some of their larger demo pages.
- *FOLDER* picker, not file picker?
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Didn't want to click on refresh to see updates, this is what I did!
Well, I was at PyCon Ireland last weekend and I missed the NiceGUI talk. I hear postive things about it and anything shiney and anything frontend-related always catches my attention (although I admit talking to a friend when I missed this talk was just as fun, and it was worth it).
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.
What are some alternatives?
reflex - 🕸️ Web apps in pure Python 🐍
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
streamlit - Streamlit — A faster way to build and share data apps.
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
flet - Flet enables developers to easily build realtime web, mobile and desktop apps in Python. No frontend experience required.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
remi - Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet.
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
dash - Data Apps & Dashboards for Python. No JavaScript Required.
Flask - The Python micro framework for building web applications.
django-unicorn - The magical reactive component framework for Django ✨
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.