Streamlit is an open-source framework that enables data scientists to create and deploy interactive web applications using pure Python, eliminating the need for front-end development skills. It allows users to transform data scripts into shareable applications quickly, facilitating collaboration and communication of data insights without the complexities of traditional web development.
Funding
$35M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing and deploying interactive web applications for data science projects often requires extensive knowledge of front-end technologies, creating a barrier for data scientists who prefer to work primarily in Python. Traditional web development frameworks can be complex and time-consuming to learn, hindering the rapid prototyping and sharing of data insights.
Solution
Streamlit is an open-source Python framework designed to enable data scientists to quickly build and deploy custom web applications using only Python. It abstracts away the complexities of front-end development, allowing users to transform data scripts into interactive, shareable applications with minimal code. The framework automatically updates the application as the source code is iteratively saved, facilitating rapid experimentation and development. Streamlit also provides a range of built-in widgets and components, such as sliders, charts, and file uploaders, that can be easily integrated into applications to create interactive user experiences.
Target Audience
Streamlit is primarily targeted at data scientists, machine learning engineers, and data analysts who need a fast and efficient way to create interactive web applications for showcasing their work, sharing insights, and building internal tools.
Features
- Simple API that allows building apps with a few lines of Python code
- Automatic UI updates upon saving the source file, enabling iterative development
- Built-in widgets like sliders, color pickers, and date inputs for interactive control
- Compatibility with popular data science libraries such as Pandas, NumPy, Matplotlib, and Altair
- Instant deployment and sharing of applications through Streamlit Community Cloud
- Support for custom components to extend functionality