$21m for Streamlit Data-based App Framework

San Francisco-based Streamlit, which offers a framework for creating machine learning and data science apps, has raised $21m in a Series A round of funding, which it will use to further develop its software and launch its paid-for offer, Streamlit for Teams.

Founded in 2018 by former Google X execs Amanda Kelly, Thiago Teixeira, and Adrien Treuille (pictured), Streamlit enables data scientists and machine learning engineers to build apps for free in Python, described as 'the native language for machine learning and artificial intelligence'. The platform launched out of stealth eight months ago, and the more than 200,000 apps it has since helped create have been used for solutions from prediction of Covid rates and visualization of new chemical compounds, to music playlist analysis of and movie recommendations.

New funding has been co-led by GGV Capital and Gradient Ventures, with participation from Bloomberg Beta, Elad Gil, Daniel Gross and others. Treuille comments: 'There's been a thirst in the data and machine learning communities to create rich apps that blend together data, models, visualizations and business logic. Streamlit makes it effortless to create and share these complex apps. We're excited to continue developing with the global Streamlit community and making the underlying technology more and more powerful and useful'.

Web site: www.streamlit.io .