Hello, HN community!<p>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!<p>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.<p>Taipy is an alternative to Streamlit, the key differences are:<p>- 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<p>Feedback welcome!