from Hacker News

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 overwhelmed and that the projects doesn’t have the budget for.

Taipy is an alternative to Streamlit, the key differences are:

- Taipy scales as more users use the application - Taipy can work with very large datasets - Taipy is multi-user and can manage various user profiles

Feedback welcome!