Category: Security, Data, Privacy, Infrastructure, containerization, github

Not only are companies collecting vast amounts of data, but new types of data like geographic data and sentiment analysis that’s being used to not only chart the past but, with machine learning, to predict the future. Enter https://streamlit.io/, an open source framework making it easy for data scientists to quickly build web apps to access and explore machine learning models, advanced algorithms and complex data types.

He and co-founders https://www.linkedin.com/in/amanda-kelly-she-her-47b11b9/ and https://www.linkedin.com/in/thiagotdotcom, met while working at the innovation lab Google X in 2013.

Streamlit began with the question: What if we could make building tools as easy as writing Python scripts?

These apps are visualizations of data written as just a few lines of Python code, the mainstay of data scientists’ existing workflow.

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