BentoML VS React

Link to GitHub -->

there are a few tools you can use as "cheat mode" shortcuts to give you a leg up as you're getting started. here's one: https://github.com/bentoml/BentoML

Then you can look into bentoml https://github.com/bentoml/BentoML which is used to deploy ml stuff with many more benifits.

For 2), I am aware of a few options. Triton inference server is an obvious one as is the ‘transformer-deploy’ version from LDS. My only reservation here is that they require the model compilation or are architecture specific. I am aware of others like Bento, Ray serving and TorchServe. Ideally I would have something that allows any (PyTorch model) to be used without the extra compilation effort (or at least optionally) and has some convenience things like ease of use, easy to deploy, easy to host multiple models and can perform some dynamic batching. Anyway, I am really interested to hear people's experience here as I know there are now quite a few options! Any help is appreciated! Disclaimer - I have no affiliation or are connected in any way with the libraries or companies listed here. These are just the ones I know of. Thanks in advance.

In this category I’m a big fan of https://github.com/bentoml/BentoML

What I like about it is their idiomatic developer experience. It reminds me of other Pythonic frameworks like Flask and Django in a good way.

I have no affiliation with them whatsoever, just an admirer.

Github Page: https://github.com/bentoml/BentoML

Cheryl Murphy is not only a dedicated full-stack web developer skilled in technologies like React, Next.js, and NestJs but also a community-driven professional who recently took on the role of volunteer project team lead at Web Dev Path. With a dual Bachelor's degree in Computing and Chemical Engineering from Monash University, Cheryl’s journey in tech is marked by a passion for building accessible solutions and a commitment to fostering community within tech.

Basic knowledge of ReactJs

Google Translate and many other libraries break React based sites if they are using refs.

I don't think that point it falls under "written on naive assumptions"

https://github.com/facebook/react/issues/11538

the issue says closed but you can easily catch it in various sites and use cases.

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This isn’t an accident; when Meta introduced React Server Components, Dan Abramov explicitly stated that they collaborated with the Next.js team to develop the RSC webpack plugin.

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Official Website Team GitHub Canary Releases

In the JavaScript ecosystem, there are guides for enabling SAML-based enterprise single sign-on in AdonisJS, Express.js, Next.js, Remix, and React with an Express.js backend.

What you have seen now works great especially when you are fetching data on the server, like in React Server Components using Next.js. But data fetching on the client side is often a bit more involved. At least what you want is for example some data loading indication and to know when the data is actually available in the client.