Streamlit Introduces New Platform for Data Science Teams

Streamlit, providers of the framework for machine learning and data science, is introducing Streamlit for Teams, the company’s first commercial product, allowing data scientists to instantly deploy and share apps with teammates, clients and other stakeholders. 

Streamlit for Teams is a zero-effort cloud platform to securely deploy, manage, debug and collaborate on apps. 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 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.

These apps are everything from advanced analytics dashboards to sales and marketing tools based off of the latest predictive algorithms.

Streamlit’s unique workflow is 10x faster than other alternatives, making it possible for data scientists to go from idea to deployed app in only a few hours, according to the vendor. 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.

“Streamlit apps are simple interactive script visualizations—a deceptively powerful idiom that strikes just the right balance between low code, power and customizability. This unique approach enables such fast creation of powerful, useful apps, that Streamlit apps have become an entirely new workflow within companies—similar to Google Docs and Notion. Streamlit for Teams lets companies instantly bring these apps into the entire company, allowing everyone to make faster, data-informed decisions,” said Adrien Treuille, co-founder and CEO of Streamlit.

Additionally, Streamlit 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 will use this money to continue to scale its team, expand its platform and bring its technology to leading enterprises.

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