--- title: Streamlit posts | daily.dev description: Streamlit's platform is a resource for data scientists and machine learning engineers, offering insights into building interactive data applications and machine learning prototypes. Through articles, tutorials, and case studies, Streamlit offers insights into creating data visualization dashboards, deploying machine learning models, and building web applications with Python. Readers can learn about streamlining the data science workflow, designing intuitive user interfaces, and sharing insights with stakeholders to drive data-driven decision-making. canonical: https://daily.dev/sources/streamlit twitter:card: summary_large_image twitter:site: @dailydotdev og:url: https://daily.dev/sources/streamlit og:type: website og:site_name: daily.dev og:title: Streamlit posts | daily.dev og:description: Streamlit's platform is a resource for data scientists and machine learning engineers, offering insights into building interactive data applications and machine learning prototypes. Through articles, tutorials, and case studies, Streamlit offers insights into creating data visualization dashboards, deploying machine learning models, and building web applications with Python. Readers can learn about streamlining the data science workflow, designing intuitive user interfaces, and sharing insights with stakeholders to drive data-driven decision-making. og:image: https://api.daily.dev/og/sources/streamlit.png og:image:width: 1200 og:image:height: 630 ---  # Streamlit Follow FollowBlock Streamlit's platform is a resource for data scientists and machine learning engineers, offering insights into building interactive data applications and machine learning prototypes. Through articles, tutorials, and case studies, Streamlit offers insights into creating data visualization dashboards, deploying machine learning models, and building web applications with Python. Readers can learn about streamlining the data science workflow, designing intuitive user interfaces, and sharing insights with stakeholders to drive data-driven decision-making. Related tags: [#spec-driven-development](/tags/spec-driven-development)[ #career](/tags/career)[ #hackathon](/tags/hackathon)[ #llama](/tags/llama)[ #claude-code](/tags/claude-code)[ #python](/tags/python) [Posts about spec-driven-development](/tags/spec-driven-development)[Posts about career](/tags/career)[Posts about hackathon](/tags/hackathon)[Posts about llama](/tags/llama)[Posts about claude-code](/tags/claude-code)[Posts about python](/tags/python) [The Repo Is the Harness — How we made an 8-year-old codebase agent-native](/posts/the-repo-is-the-harness-how-we-made-an-8-year-old-codebase-agent-native-o9z6tqgjb)[Hackathon 101: 5 simple tips for beginners](/posts/hackathon-101-5-simple-tips-for-beginners-dhvbitszz)[10 Principles for Keeping the Vibe while Coding Streamlit Apps](/posts/10-principles-for-keeping-the-vibe-while-coding-streamlit-apps-niv0ytkrw)[How to build a Llama 2 chatbot](/posts/how-to-build-a-llama-2-chatbot-0vtzfmlee)[Fast Prototyping of GenAI Apps with Streamlit](/posts/fast-prototyping-of-genai-apps-with-streamlit-vpzm9n2mv)[Best Practices for Building GenAI Apps with Streamlit](/posts/best-practices-for-building-genai-apps-with-streamlit-6pbnxfrap)[How to build a movie recommendation app without the complexities of vector databases](/posts/how-to-build-a-movie-recommendation-app-without-the-complexities-of-vector-databases-fo0yp6f8z)[How to create an AI chatbot using one API to access multiple LLMs](/posts/how-to-create-an-ai-chatbot-using-one-api-to-access-multiple-llms-qy3ji9k4i)[Just build it](/posts/just-build-it-x7u20py7z)[Streamlit 101: The fundamentals of a Python data app](/posts/streamlit-101-the-fundamentals-of-a-python-data-app-0bjefbbh5) ## Most upvoted posts from Streamlit ## Best discussed posts from Streamlit ## All posts from Streamlit ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/sources/streamlit#organization","name":"Streamlit","url":"https://daily.dev/sources/streamlit","logo":{"@type":"ImageObject","url":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/57e699f17945462aa42a131ced64a60e"},"description":"Streamlit's platform is a resource for data scientists and machine learning engineers, offering insights into building interactive data applications and machine learning prototypes. 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