What is Streamlit?
Streamlit is a versatile open-source Python library that enables the rapid development and deployment of custom web applications for machine learning and data science projects. With just a few lines of Python code, users can build and publish feature-rich data-driven apps, empowering them to showcase their work, collaborate, and share insights seamlessly. Streamlit's intuitive framework is designed specifically for data scientists and machine learning engineers, providing a streamlined approach to transforming analytical workflows into interactive web applications
Highlights
- Rapid Prototyping: Streamlit's hot-reloading feature allows developers to see their app updates in real-time as they edit and save their Python scripts, streamlining the iterative development process
- Accessible Deployment: The library makes it easy to deploy data apps, enabling users to share their work and insights with others, fostering collaboration and knowledge-sharing
- Diverse Capabilities: Streamlit supports a wide range of data visualization and interactive components, allowing developers to create visually appealing and engaging applications that effectively communicate complex data and analyses.
Platforms
- On-Premise Linux
- Cloud, SaaS, Web-based
- Desktop Linux
- Desktop Chromebook
- On-Premise Windows
- Online
- Web
- Desktop Windows
- Self-Hosted
- Mobile iPad
- Mobile Android
- Mobile iPhone
- Desktop Mac
Languages
- English
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