Taipy

Taipy

Build Python Data & AI web applications
17 reviews
645 followers

What is Taipy?

Taipy is an open-source Python library for building your Data & AI web application front-end & back-end. Designed for Python web developers and Data Scientists, no knowledge of web development is required! Try it now : $pip install taipy

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4.82/5 based on 17 reviews
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Reviews

Emily Marie Ahtúnan
1 review
User Review: I've been using Taipy for creating and deploying web interfaces for my Python data projects, and it's been a game-changer. A key differentiator in Taipy is scalability. Taipy doesn't freeze or crash when handling multiple pages, users, or large datasets. Taipy's focus on running only the essential processes during user interaction ensures smooth functionality even in production environments. It's become my go-to tool for web interfaces that need to handle complex tasks without compromising performance.
Apram Ahuja
1 review
Taipy is a wonderful python library to perform web development! Unique workflows as well as easy UI designing using markdown or HTML/CSS components 🤩
Alvaro Tejada
1 review
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.
Sushant Surendra Prabhu
1 review
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.
Mayeul Duval
1 review
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.
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