Popular machine learning and data science app framework Streamlit last week announced its version 1.0 milestone. Founded by machine learning veterans just two years ago, Streamlit was created to make it easy for data scientists to build web apps to explore and showcase data-centric projects, machine learning models, and complex data types. As reported by TechCrunch, Streamlit went from an early user base of a handful of customers to a significant community of users, driven in part by the popularity of Python. According to co-founder and chief operating officer Amanda Kelly, even users with a smattering of Python ability can get started with Streamlit to "quickly get an answer." "We launched Streamlit in 2019 with a radical idea: making data apps should be simple. Your response exceeded our highest hopes. Tens of thousands of data scientists and thousands of companies turned to Streamlit to share rich models, deep analyses, and complex datasets," said and co-founder Adrien Treuille in a blog post.