gradio VS Taipy

gradio is a package developed to ease the development of app interfaces in python and other languages (GitHub)

There's also that library all the AI models started using that gives you a public URL to share. After researching it: https://www.gradio.app/ is the link.

It's used specifically for making simple UIs for machine learning apps. But I guess technically you could use it for anything.

What is the business model for https://www.taipy.io/, https://streamlit.io/, or https://www.gradio.app/? These are nice tools - but how will the sponsoring businesses support themselves? I didn't see any mention of enterprise plans, etc. Is the answer simply that "we've not announced our revenue model yet"? What should one expect?

Repo : https://github.com/gradio-app/gradio

There's TensorFlow.js for running machine learning on JavaScript, but personally, I'd prefer using the Python Gradio package, which is designed for creating UIs for machine learning inference demos.

I found an issue on gradio github but looks like it's closed so I am not sure if it's still a common issue or only I am facing it due to certain settings/absence of a fix. ( https://github.com/gradio-app/gradio/issues/3060 )

I disagree hard with this – for instance I've recently needed to dig into the code for the Gradio library, and when PRs are like https://github.com/gradio-app/gradio/pull/3300 (and the merge commit's message is what it is) it's hard to understand why some decisions have been made when doing `git annotate` later on.

Gradio for a ui that your commanderGPT can visit and use

gradio is documented, it doesn't seem very complex, it would be something like moving this block under the other one. i think it's ui_extra_networks.py, the file you are looking to edit. (if you do it make a copy to restore when you go to update)

Gradio did have an issue for a while where your URL was guessable, so unless you had a password it was pretty easy to find, but as far as I know they've increased the complexity so much that it's no longer an issue.

Taipy is an open-source Python library that enables data scientists and developers to build robust end-to-end data pipelines.

I’ve been working in tech for more than five years. I started as a Data Scientist, and now I’m exploring and loving the DevRel 🥑 role for Taipy. Needless to say, evolving in the tech scene has been a ride full of ups, downs, and everything in between.

In 2022, we first launched Taipy as an open-source project (do check out our GitHub Page), followed by the Enterprise version later that year.

Hey guys! I work at Taipy; we are a Python library designed to create web applications using only Python. Some users had problems displaying charts based on big data, e.g., line charts with 100,000 points. We worked on a feature to reduce the number of displayed points while retaining the shape of the curve as much as possible and wanted to share how we did it. Feel free to take a look here:

What is the business model for https://www.taipy.io/, https://streamlit.io/, or https://www.gradio.app/? These are nice tools - but how will the sponsoring businesses support themselves? I didn't see any mention of enterprise plans, etc. Is the answer simply that "we've not announced our revenue model yet"? What should one expect?

I am not going to have a tutorial on how to use it, their website has a decent documentation on how to get started. I will be documenting the difficulties and little quirks that I had to figure out about TaiPy when applying it to a bigger project.