An open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science in minutes.
Streamlit
- Pitón
- Gráficos 2D, IA y aprendizaje automático, Automatización, Análisis de datos, Simulación
- Interfaz de programación de aplicaciones (API), Inteligencia Artificial (IA), Aprendizaje profundo, Aprendizaje automático, Fuente abierta, Software, Software como servicio (SaaS), Interfaz de usuario (UI)
Características:
- Rapid web app development from Python scripts,interactive widgets (sliders,buttons,text input,file uploaders,etc.),automatic UI generation,data visualization (integration with Matplotlib,Plotly,Altair,etc.),caching for performance,live code updates,easy deployment options (Streamlit Sharing,Docker),no HTML/CSS/JavaScript knowledge required for basic apps
Precios:
- Freemium
- Extremely easy to turn Python scripts into interactive web apps, enables rapid prototyping and sharing of data science projects, great for building dashboards and ML model demos, active community and growing ecosystem, Streamlit Sharing platform for free deployment (with limitations).
- Less flexible for highly customized UI/UX compared to full web frameworks (Flask,Django), primarily designed for single-page applications, managing complex state can become tricky, performance with very large datasets or complex computations in the app requires careful design.
Ideal para:
- Data scientists, machine learning engineers, and analysts who want to quickly create and share interactive web applications from their Python scripts without extensive web development experience.