Streamlit why should you try it and how is it useful in business?
Streamlit is a free and open source Python library for creating and distributing beautiful web applications for machine learning and data analysis. Streamlit allows you to turn your data scripts into interactive web applications in a few minutes, without requiring any frontend experience. You can also use our Community Cloud platform to deploy, manage and share your applications. It's all in pure Python, open source and free
Who needs Streamlit?
Streamlit can be useful for developers, analysts, scientists, engineers and other professionals. With Streamlit, you can:
- Create an attractive and functional interface for your algorithms, models, visualizations, dashboards and other data products.
- Do experiments and iterations with your data and code using a magically simple API that automatically updates your application when the source file is saved.
- Add interaction with your data and application using various widgets such as sliders, buttons, checkboxes, radio buttons, drop-down lists and others.
- Share your applications with colleagues, customers, the community or the whole world using our Community Cloud platform or your own server.
Why use Streamlit?
Streamlit has a number of advantages over other tools for creating web applications with data, such as:
- Simplicity and speed. You can create your application in a few minutes using only Python and a few lines of code. You don't need to know HTML, CSS, JavaScript or other frontend technologies.
- Flexibility and power. You can use any Python libraries and widgets you like and integrate them with your Streamlit application. You can also create your own Streamlit components using React and share them with the community.
- Reactivity and performance. You can use the changefeeds feature to subscribe to query results updates and receive them in real time. Streamlit uses modern technologies such as caching, WebSockets, Protobuf and others to create a reliable, scalable and high-performance application.
Where is Streamlit used?
Streamlit is used in various fields and industries, such as:
- Machine learning and data analysis. You can create applications to demonstrate and test your models, algorithms, visualizations, analytics, and other data products. You can use various Python libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, Matplotlib, Altair and others.
- Education and science. You can create applications for teaching and researching various topics such as mathematics, physics, chemistry, biology, economics, psychology and others. You can use various widgets such as formulas, graphs, tables, maps, animations and others.
- Business and finance. You can create applications to manage and optimize your business processes, such as sales, marketing, logistics, accounting, risk management and others. You can use various widgets such as dashboards, reports, forecasts, simulations, scenarios and others.
What business benefits does Streamlit provide?
Streamlit can help you gain a competitive advantage in business, as it allows you to:
- Increase customer satisfaction and loyalty by providing them with interactive and beautiful apps that solve their problems and needs.
- Reduce costs and risks by using a simple, free and open source tool that does not require complex development, deployment and support.
- Accelerate innovation and growth by using a flexible, reactive and productive tool that allows you to quickly create and test new ideas, products and markets.
Conclusion
Streamlit is a free and open source Python library for creating and distributing beautiful web applications for machine learning and data analysis. Streamlit can be useful for various professionals who work with data and machine learning. Streamlit has a number of advantages over other tools for creating web applications with data. Streamlit is used in various fields and industries such as machine learning and data analysis, education and science, business and finance. Streamlit can help you gain a competitive advantage in your business, as it allows you to increase customer satisfaction and loyalty, reduce costs and risks, and accelerate innovation and growth.
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