formally introduced Streamlit for Teams, the company’s first commercial
product. 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 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. 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.
With the introduction of Streamlit for Teams, Streamlit is unlocking the ability
for data scientists to instantly deploy and share Streamlit 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.
“I can’t say enough great things. Streamlit for Teams is so slick and
intuitive. It lets us deploy apps that our company loves and that even
helps us close deals with new clients,” said Kyle Long, engineer at
PocketList, a rental platform company.
Streamlit Raises $35 Million in Series B Growth Funding Round
Today 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.
Sonya Huang, partner at Sequoia and Streamlit board member, said: “The
field of data is changing rapidly. Static dashboards are no longer the
best way for data scientists to communicate insights and democratize data
access. Interactive, data-rich web apps are the future. We believe Streamlit
has a unique opportunity to disrupt the $25 billion Business Intelligence
market with its open source and developer-first approach-ultimately, becoming a
core piece of the data science and machine learning stack for years to come. We
are thrilled to partner with this exceptional team as Streamlit continues
to experience wide adoption within the data science community and in the