Streamlit has formally announced Streamlit for Teams, the company’s first commercial product. The company also announced $35 million in Series B funding, bringing the total raised to $62 million. The round was led by Sequoia and previous investors Gradient Ventures and GGV Capital also participated.
Streamlit for Teams lets data scientists instantly deploy and share apps with teammates, clients and other stakeholders so they can make rapid, data-informed decisions based on the insight from the apps. As of today, the new Teams product is moving out of developer preview into beta before launching later this year.
Streamlit will use this money to continue to scale its team, expand its platform and bring its technology to leading enterprises.
Streamlit is an open source, powerful and easy-to-use framework, first introduced in 2019, that lets data scientists quickly build web apps to access and explore machine learning models, advanced algorithms and complex data types.
The product deploys apps directly from private Git repos and runs continuous integration to instantly update apps on commits. It layers on enterprise-grade data security and OAuth2-based authentication as well as advanced collaboration features for both data scientists and their customers.
Streamlit has more than 14,000 GitHub stars, has been downloaded nearly two million times and is used by hundreds of companies, including 7-Eleven, Apple, Ford and Uber.