air VS reflex

☁️ Repositório do Air

This is made possible thanks to the Air tool, which now comes with every project you create. The configuration is as follows:

At a recent job, we had slightly different containers for local dev; our backend containers (for a Go app) had Air [1] installed for live reloading, plus Delve [2] running inside the container for VS Code's debugger to connect to. We also had a frontend container for local dev, which didn't get deployed as a container, just as static files.

[1] https://github.com/cosmtrek/air

[2] https://github.com/go-delve/delve/

Air is an automatic reloading tool for Go applications. It keeps an eye on code changes and automatically restarts the application, making development more efficient.

Just to add to the list there is also https://github.com/cosmtrek/air

Do you use anything for live reloading? This is one aspect I miss when using gomponents compared to go templates, where I had a setup using Browsersync, which immediately refreshed whenever html/css/js changed. Now, since all HTML is within Go code, I have to recompile my go program to see changes, which takes up to ~5sec (I use https://github.com/cosmtrek/air for this).

Using Docker definitely helps with setting up all of the dependencies. You can then use a live reloading library like https://github.com/cosmtrek/air to make use of the shared volume with the host.

The final addition to our formula is the introduction of ☁️ Air - Live reload for Go apps. With this or a similar tool we can keep Docker running after making changes to our API server. To configure Air we need a .air.toml file:

Hey thanks for the feedback. We're working on relaxing our dependencies [1] to make reflex more compatible. Do you remember what libraries you had the conflict with?

[1] https://github.com/reflex-dev/reflex/pull/2796

Thanks! Pue looks cool, thanks for sharing. I see some similarities to https://reflex.dev in terms of providing a declarative dom expression language with built-in conditionals and loop primitives.

In the dynamic world of web development, Python has emerged as a dominant force, especially in backend development – the primary focus of this blog post. Although it's worth mentioning that there are ongoing efforts to use Python for the frontend as well, like Reflex (previously known as Pynecone, they presumably had to change their name because of Pinecone vector database), which even garnered support from Y Combinator. Samuel Colvin (creator of Pydantic) is also working on FastUI (he literally just released the first version in December 2023).

They have a ready to use LLM chat App, which makes it more likely I will check it out.

https://github.com/reflex-dev/reflex

We will use Reflex to build this chatbot.

To learn more about Reflex, you can read here: https://reflex.dev/

Reflex is an open-source, full-stack Python framework that makes it easy to build and deploy web apps in minutes. You have most of the features of a frontend library like Reactjs and a backend framework like Django in one with ease in development and deployment. All while developing in a single language PYTHON.

Repo : https://github.com/reflex-dev/reflex

https://streamlit.io/ https://wave.h2o.ai/ https://reflex.dev/