Taipy is a nice tool to enable rapid development and application deployment. I would suggest that in future developments, having more control over certain front end components would be good. Overall a great tool to build data-driven web apps.
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.
I use Taipy as a way to create UI in python for my colleagues. It is a great tool for displaying complexe data (agronomical data in my case) and letting the user manipulate it autonomously. I'm still working on it, but it already looks very promising.
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.
