Streamlit
Turn python scripts into beautiful ML tools
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Что такое Streamlit ?
Streamlit lets you create apps for your machine learning projects with deceptively simple Python scripts. Prototype quickly with hot-reloading, so your app updates live as you edit and save your file. Try it now: ⬇️ $pip install streamlit $streamlit helloКакие сценарии использования есть у Streamlit?
- Data scientists and AI/ML engineers can quickly build and share interactive data applications.
- Prototyping machine learning models and analyses for demonstration purposes.
- Creating dashboards for interactive data exploration and visualization.
- Developing internal tools for data-centric applications within organizations.
- Building chatbots that interact with data for enhanced user engagement.
Какие особенности есть у Streamlit?
- Open-source Python framework that allows building web apps in just a few lines of code.
- No front-end experience required; users can focus on data logic without dealing with HTML, CSS, or JavaScript.
- Real-time updates as users save their source files, enhancing the development experience.
- Built-in widgets for easy interaction, such as sliders, buttons, and date inputs.
- Instant deployment and sharing capabilities through Community Cloud, making it accessible for all users.
- Compatible with various data sources and frameworks, allowing for extensive integration possibilities.
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