Streamlit

Data scientists and AI/ML engineers can now turn their data scripts into shareable web apps in minutes with Streamlit, an open-source Python framework that eliminates the need for front-end experience. Streamlit is used by over 90% of Fortune 50 companies, a testament to its reliability and effectiveness. With Streamlit, users can create interactive data apps in just a few lines of code, and the framework is easy to get started with, simply installing like any other Python library via pip install streamlit. The tool also offers a live playground for trying out Streamlit before installing, as well as Streamlit Community Cloud for building and sharing public apps for free, with the only requirement being a GitHub account. Additionally, Streamlit integrates with Snowflake for professionals, providing enterprise-grade security and the ability to code in a browser or favorite editor while working with Git and CI/CD. One notable limitation of Streamlit is that it currently lacks built-in support for real-time collaboration, which can hinder teamwork on complex data projects. Nevertheless, Streamlit's capabilities, including its ability to preserve row selections on sort and set fixed tab heights, make it an ideal choice for those looking to quickly build and share data apps, and its extensive documentation and forums provide ample support for users to get started and continue learning.