Streamlit began as an open-source project that lets data scientists build streaming, interactive machine-learning applications. The company has an expanded beta of a commercial offering called Streamlit for Teams that handles deployment, scaling, containers, and secure data connections for non‑DevOps users. Streamlit reports 20,000 monthly active developers using the open-source tooling and apps that have been viewed millions of times. Customers and users include data scientists at Uber, Delta Dental and John Deere. The company has kept a lean headcount of 27 employees to date and plans to double its team over the coming year. The new funding is intended to accelerate development and broader commercial availability of Streamlit for Teams later this year. Streamlit builds an app framework that lets data scientists and machine-learning teams create interactive applications in Python without front-end programming. Its open-source project, released eight months earlier, has been used to build over 200,000 applications spanning student projects to production systems. The founders—Amanda Kelly, Thiago Teixeira, and Adrien Treuille—met at Google X and launched the company in late 2018 to simplify tooling for ML projects. Customers such as Uber and Delta Dental have used Streamlit for rapid prototyping and deployment of data-driven apps. Financially, Streamlit announced a $21 million Series A to accelerate software development and support growth. The company plans to release Streamlit for Teams later in the year to provide a platform for deploying and sharing apps. Streamlit offers a flexible, open-source toolkit that lets machine-learning engineers assemble custom apps with only a few lines of code. The product is described as a set of “Lego blocks” that can be used to build sliders, tables, and other interactive controls tailored to the data. Co-founder Adrien Treuille and his team—industry veterans who worked at GoogleX and Zoox—built the tool to reduce the time engineers spend building bespoke data interfaces. The company says the toolkit can turn projects that once took four weeks and 15,000 lines of code into something doable in an afternoon. Streamlit launched its toolkit on GitHub and made it available for download starting the day of the announcement. Financially, Streamlit announced a $6 million seed investment to support the product and launch.

Total raised

$62M

Funding rounds

3

Latest round

Series B

Latest activity

Apr 2021