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Turboscripter
Overview :
Streamlit is an open-source Python library that enables data scientists and machine learning engineers to rapidly create beautiful and customizable machine learning applications and data applications in web browsers. Without the need for frontend web development knowledge, Streamlit applications can be constructed from simple scripts in just a few minutes. Streamlit offers a simple API to create a variety of interactive widgets such as text, images, tables, charts, and videos, making data exploration and presentation easy. It features built-in support for data frames such as Pandas, Numpy, Matplotlib, etc. It is compatible with most Python machine learning libraries like Scikit-learn, TensorFlow, and more.
Target Users :
["Data analysts who want to present and share data analysis results through web interfaces","Data scientists looking to rapidly prototype machine learning applications","Building beautiful prototypes for machine learning projects"]
Use Cases
Build a web application for housing price prediction based on a housing dataset using Streamlit
Use Streamlit to visualize and analyze product sales trends
Develop a web application for image recognition based on an image classification model
Features
Quickly build interactive data applications
Built-in rich widgets supporting the display and interaction of various data types
Compatibility with mainstream data processing and machine learning Python libraries
One-click application deployment
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