Using Taipy in our recent ML project was a game-changer. It allowed us to seamlessly integrate complex data processing with an intuitive user interface, all within Python. The platform's flexibility meant we could adapt quickly to project needs without getting bogged down in technical web development details. Taipy's efficient scenario management also made handling large datasets a breeze, significantly cutting down on development time. It's a standout tool for anyone looking to bring sophisticated data-driven applications to deployment quickly and efficiently. Definitely go through its thorough documentation.
Used Taipy for a hackathon competition and found it easy to use and learn in that short time. I have a little front end experience with React but otherwise very little and found Taipy easy to use and understand for the neural network page I collaborated on for the competition.
Taipy is an awesome Python library used to create both backend and frontend applications. It's unique way to generate UI via markdown is simply refreshing.
Taipy is the perfect tool for full-stack developers. It allows for the quick setup of both a backend and frontend for your program in a way that looks elegant and effective. Only issue I encountered is that, due to its recency, it lacks a lot of documentation on its uses over the internet, however the Taipy website contains plenty of helpful pages teaching you how to use the framework
I think taipy is really great! As someone just trying to get a python web app up and running, deploy some algorithms, it’s a really good way to do this without worrying too much about the front end framework. I especially like the fact that I can customize the front end with HTML or CSS *if* I wanted to. The documentation is pretty good too, just missing a few examples, but the bulk of what you need is there.