Streamlit is a powerful and easy-to-use framework that lets data scientists quickly build web apps to access and explore machine learning models, advanced algorithms and complex data types.

In this Streamlit tutorial, we will dive into how you can create a beautiful app with Python and the Dockerfile for deploying your Streamlit app. What Is Streamlit?

Streamlit releases v1.0 of its DataOps platform for data science apps to make it easier for data scientists to share code and components.

Streamlit is a startup that developed a popular open source project for building data-based apps. Seems like a pretty good match, and today Snowflake announced it was acquiring Streamlit for $800 ...

For the past couple of years, Streamlit, a startup founded by machine learning veterans, has been working on an open source project to help data scientists build web apps to explore the data in ...

Cloud data warehousing giant Snowflake showed it’s serious about Python and data science this week when it announced that it plans to spend $800 million to buy Streamlit, a provider of Python-based ...

Streamlit, a startup developing a framework to streamline AI app deployment, raised $21 million in venture capital.

Streamlit Sharing, the new cloud service launched today, is essentially a free hosting platform on which developers can run their Streamlit-built machine learning software.

Streamlit Inc., the startup behind a new but already widely used artificial intelligence application framework, today announced that it has raised a $21 million funding round co-led by Google LLC ...

Streamlit, the creators of an app framework for machine learning and data science, is offering Streamlit 1.0, adding improvements and customization options that allow data scientists to go from data ...