starfx
py-shiny
starfx | py-shiny | |
---|---|---|
6 | 29 | |
80 | 998 | |
- | 8.6% | |
9.2 | 9.7 | |
6 days ago | 3 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.
starfx
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FastUI: Build Better UIs Faster
Ah! A real criticism of FE development, I agree with your problem statement.
When you jump into the world of single-page applications, things get complex pretty quickly, because the use case for needing an SPA pushes the web app into a full desktop application.
Ultimately, for a highly interactive and dynamic "desktop-class" user experience, there is added complexity. I think that's why so much movement within the FE world has moved away from "SPA for everything" and into these mixed dynamic apps. Islands, React Server Components, NextJS, they all help create a middleground between a document-based website with no dynamic elements with a full blown desktop app experience. They all have real tradeoffs, in particular adding an entirely new backend service to serve the front end.
For many projects, react + react-query is probably enough.
Having said that, my argument from https://bower.sh/dogma-of-restful-api still stands: when you build an API that is RESTful (1:1 mapping between endpoint and entity) you are unknowingly pushing the complexity of data synchronization to the FE, which requires a well thought out ETL pipeline.
This probably doesn't help my case but I've been building a simplified middle-layer for react to bridge the gap between react-query and full blown SPA: https://starfx.bower.sh
- Show HN: Starfx – A modern approach to side-effect and state management in UI
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Effection 3.0 – Structured Concurrency and Effects for JavaScript
`redux-saga` maintainer here.
I've been using `effection` to build a replacement for `redux-saga` over at https://github.com/neurosnap/starfx
Effection has demonstrated to me how truly powerful delimited continuations are and why structured concurrency is an incredible asset for anything that requires async flow control -- basically everything in TS/JS.
I know sometimes it's hard to imagine why someone would need structured concurrency or care about delimited continuations for a front-end application, but this is a game changer in terms of expressing async flow control.
Some things to note about Effection:
- API surface area is small https://github.com/thefrontside/effection/issues/851
- It tries to stay as close to JS constructs as possible so it will feel very familiar
- Resource cleanup is automatic (when a function passes out of scope all descendent tasks are shut down automatically)
- End-user doesn't need to think about delimited continuations
The only leap users need to "deal with" coming from async/await is the syntax.
import { main, call } from "effection";
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Internals of Async / Await in JavaScript
- https://github.com/thefrontside/continuation
- https://github.com/thefrontside/effection/tree/v3
- https://github.com/neurosnap/starfx
The last one intends to replace redux-saga using DCs.
Here’s a presentation I gave recently talking about DCs in typescript: https://youtu.be/uRbqLGj_6mI?si=XI0JNMKMoO2VHMvM
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Philosophy of Coroutines
A couple of us have been experimenting with deliminited continuations and I think it’s gonna take off soon:
https://youtu.be/uRbqLGj_6mI?si=kgKKjpCnehJ9bpIG
https://github.com/neurosnap/starfx
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Observable API Proposal
I feel the same way which is why I decided to help maintain the project. Async flow control is very tricky even in js–land. Having watchers live inside of a while-loop is a powerful construct that lends itself to interest flow control patterns.
I'm also in the process of rebuilding redux-saga but without the redux part: https://github.com/neurosnap/starfx
It's still in alpha stage, but it is very reminiscent of redux-saga.
py-shiny
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Designing a Pure Python Web Framework
I really like this idea of using Python to create both the frontend and backend. Another lib doing this is https://solara.dev/ . Something I particularly like about Solara is that you can interactively build your app in a Jupyter Notebook, since behind the scenes it's using ipywidgets.
Has anyone compared Solara and Reflex and can comment on pros/cons? Are there other options in this space? Maybe https://shiny.posit.co/py/ ?
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FastUI: Build Better UIs Faster
Would you consider giving Shiny (for Python) a try? https://shiny.posit.co/py/ It's (I hope) pretty close to Streamlit in ease of use for getting started, but reactive programming runs all the way through it. The kind of app you're talking about are extremely natural to write in Shiny, you don't have to keep track of state yourself at all.
If you decide to give it a try and have trouble, please email me (email in profile) or drop by the Discord (https://discord.gg/yMGCamUMnS).
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py-shiny VS solara - a user suggested alternative
2 projects | 13 Oct 2023
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Duckdb + Shiny for Python example
Code is here: https://github.com/rstudio/py-shiny/tree/duckdb-example/examples/duckdb
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Transitioning from R to Python - any tips?
The equivalent of shiny in python is shiny for python: https://shiny.posit.co/py/
- Show HN: Mercury – convert Jupyter Notebooks to Web Apps without code rewriting
- Shiny for Python – building interactive web apps from Python
- Shiny – Web Pages in Python
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Tidyverse 2.0.0
I'm not sure how usable it is, but Shiny for Python exists: https://shiny.rstudio.com/py/
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Graphs in Python web app
There's Shiny for Python - originally for R - but it's only Alpha status: https://shiny.rstudio.com/py/
What are some alternatives?
effection - Structured concurrency and effects for JavaScript
Solara - A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps
proposal-async-iterator-helpers - Methods for working with async iterators in ECMAScript
pyvibe - Generate styled HTML pages from Python
libcommon - Library of reusable C++ code
Genie.jl - 🧞The highly productive Julia web framework
kal - A powerful, easy-to-use, and easy-to-read programming language for the future.
Tidier.jl - Meta-package for data analysis in Julia, modeled after the R tidyverse.
continuation - Delimited Continuations for JavasScript
React - The library for web and native user interfaces.
assembly - assembly projects
streamlit - Streamlit — A faster way to build and share data apps.