streamlit and awesome-streamlit
Awesome-streamlit is a curated community resource and documentation project that showcases examples and best practices for the core Streamlit framework, making them ecosystem siblings where one is the foundational tool and the other is educational/promotional content built around it.
About streamlit
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
Streamlit helps data scientists, analysts, and domain experts quickly turn their Python scripts into interactive web applications without needing web development expertise. You input a Python script that processes data, and it outputs a shareable web app with dashboards, reports, or chat interfaces for others to explore the results.
About awesome-streamlit
MarcSkovMadsen/awesome-streamlit
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
Curates a gallery of production-ready Streamlit applications with reusable code examples, alongside a best-practices multipage starter template featuring automated CI/CD, Docker containerization, and cloud deployment pipelines. Provides a searchable resource index spanning tutorials, component libraries, and alternative frameworks, enabling developers to discover patterns for building data science dashboards, NLP tools, and real-time visualization apps without frontend expertise.
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