Subscribe
Sign in
Taipy is an open-source Python library for building data and AI web apps.
As an alternative to Streamlit, it's designed for data scientists and Python web developers — no background in web development required!
Taipy greatly eases your web application deployment. It provides the most suitable cloud tool to host, deploy, & share your Taipy applications. In addition, this platform provides the ability to manage, store, & maintain the various states of your backend.
Taipy is an open-source Python library for building your web application front-end & back-end. Designed for data scientists and Python web developers, no knowledge of web development is required! Try it now : $pip install taipy
Taipy is a wonderful python library to perform web development! Unique workflows as well as easy UI designing using markdown or HTML/CSS components 🤩
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.
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.
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.
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.
