HANDSONTABLE VS BentoML

handsontable

There is also https://handsontable.com/

We are currently working on translating three new UI labels into 18 different languages. Can you help us out with it?

https://handsontable.com/ This is the best commercial library you can just buy and put it in your product.

I've always liked https://handsontable.com/ but I'm not sure what the licensing is for something other than a personal project.

trimWhitespace option can finally be used in columns and cells #7387,

All our packages are on npm, so depending on the framework you use, you can install it as follows:

Handsontable is primarily known as a JavaScript grid library for business apps but the decision to include it in this article is not accidental. Although this tool doesn't offer as many text formatting options as Excel, it includes quite a lot of features for manipulating data typical of spreadsheets. The list of the most widely used Handsontable features includes operations on rows & columns (moving, hiding, resizing, freezing), CRUD actions, non-contiguous selection, data validation, export to file, and merging cells. You can also take advantage of more advanced capabilities such as multi-column sorting, data summaries, trimming rows, and nested headers.

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