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Streamlit is a software company offering an open-source platform for machine learning and data science teams to create data applications with python that is headquartered in San Francisco, California and was founded in 2018 by Adrien Treuille, Amanda Kelly, and Thiago Teixeira.
The platform uses python scripting, APIs, widgets, instant deployment, team collaboration tools, and application management solutions to help data scientists and machine learning engineers create python-based applications. Applications created using Streamlit range from applications capable of real time object detection, geographic data browsers, deep dream network debuggers, to face-GAN explorers. Frameworks compatible with Streamlit include: Scikit Learn, Altair, Bokeh, latex, Keras, Plotly, OpenCV, Vega-Lite, PyTorch, NumPy, Seaborn, Deck.GL, TensorFlow, Python, Matplotlib, and Pandas.
On October 1, 2019 Streamlit announced raising $6 million in seed funding from Gradient Ventures (lead investor), Bloomberg Beta, Elad GIl, Jana Messerschmidt, Daniel Gross, Solomon Hykes, and Jake Klamka.
On June 16, 2020 Streamlit announced raising $21 million in series A funding from Gradient Ventures (lead investor), GGV Capital (lead investor), Bloomberg Beta, Elad Gil, and Daniel Gross. The company plans on using their series A funding to help accelerate the development of its data application creation platform. At the time of raising their series A round approximately 200,000+ developers have have made applications using the Streamlit platform.