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AI · February 12, 2024

Taipy: Building data and AI apps, an alternative to Streamlit

Hello, HN community! This is the first time I’m doing a Show HN, and I'm excited to introduce the library I've been working and believing in for the last year, Taipy! This Python library was created to make building complete applications on data science and ML projects easier and so more accessible to end-users. Basically, it allows any data scientist to build a production-ready application and stop being stuck at the pilot stage. It’s all Python making having to do the job of creating and deploying the app a one to two person job instead of going for specialized developers that are…

Taipy: Building data and AI apps, an alternative to Streamlit launched on February 12, 2024 with 14 votes, #1,105 of 3,962 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.

In plain words

Taipy is a Python library for building production-ready data science and machine learning applications. It allows data scientists to create complete web applications without specialized developers, handling deployment and user management directly through Python code. Unlike similar tools, Taipy is designed to scale with multiple concurrent users, handle large datasets efficiently, and support different user profiles, making it suitable for teams moving projects beyond the prototype stage.

written from the facts on this page · September 2026

From the sources

From simple pilots to production-ready web applications in no times. No more compromise on performance, customization, and scalability.

In the maker’s words, at launch

Hello, HN community! This is the first time I’m doing a Show HN, and I'm excited to introduce the library I've been working and believing in for the last year, Taipy! This Python library was created to make building complete applications on data science and ML projects easier and so more accessible to end-users.…

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    Build powerful data and AI apps in pure Python

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    Turns Data and AI algorithms into production-ready web applications in no time. - Avaiga/taipy

  • Taipy2023 · taipy.io · ▲7

    Build production-ready web application in no time

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    Host, manage and deploy your Taipy web application

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    Hi HN, Over the past 6 months I've been working on a technical book focused on helping aspiring data scientists to get hands-on experience with cloud computing environments using the Python ecosystem. The book is targeted at readers already familiar with libraries such as Pandas and scikit-learn that are looking to build out a portfolio of applied projects. To author the book, I used the Leanpub platform to provide drafts of the text as I completed each chapter. To typeset the book, I used the R bookdown package by Yihui Xie to translate my markdown into a PDF format. I also used Google docs…

  • A local Python prototyping tool for Jupyter and Streamlit2023 · github.com · ▲65

    Hey HN! I built a local Python prototyping tool that is finally the Python development environment I've always wanted. It has a Jupyter notebook for data crunching, a database of your choice (Python or MongoDB), and a Streamlit app for building a frontend visualization. You can edit the Streamlit backend via an embedded VSCode editor, or locally on your own IDE. The best part for me is that the database connectors within Jupyter and Streamlit are configured out-of-the-box, so you don't need to spend time thinking about how to tie all that together - you can just pick the database you want to…

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