streamlit

Streamlit addresses the challenge of rapidly developing and sharing data applications, making it an essential open source tool for engineering teams focused on machine learning and data science. It is particularly beneficial for data scientists and ML engineers who need to create interactive visualisations and dashboards without extensive web development skills. With a maturity level indicated by its steady growth of 1,316 stars over 96 days, Streamlit is a production-ready solution that can be confidently integrated into workflows. However, it may not be the best choice for teams requiring highly customisable web applications or those needing extensive backend integrations, as its primary focus is on simplicity and speed of deployment.

Streamlit is a strong choice when teams need to quickly prototype and deploy data-driven applications, especially for internal use or client demos. Teams should consider alternatives when they require complex user interfaces or extensive integration with existing systems.

Streamlit is ideal for data scientists, machine learning engineers, and AI researchers who need to visualise data and share insights effectively. It is commonly used in products and systems that involve data analysis, machine learning models, and real-time data visualisation.

Latest commit: 2026-02-14. Over the past 97 days, this repository gained 1.3k stars (+3.1% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.