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Streamlit — A faster way to build and share data apps
Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science. In just a few lines of code, you can build powerful data apps and deploy them quickly.
Python
Added on 2025年6月27日40,105
Stars3,524
ForksPython
LanguageProject Introduction
Summary
Streamlit is the fastest way to build and share data apps. It is an open-source framework that allows data scientists and engineers to build powerful web applications using Python, eliminating the need for front-end web development expertise.
Problem Solved
Building interactive data dashboards or machine learning model showcases often requires complex web development frameworks. Streamlit simplifies this process, allowing data scientists and ML engineers to focus on their models and data, not on web development intricacies.
Core Features
Script-driven Application Development
Turn data scripts into shareable web apps in minutes, using simple Python code without needing web development experience.
Interactive Widgets
Effortlessly add interactive widgets like sliders, buttons, and text inputs to explore data and models dynamically.
Live Coding
Supports live coding - see changes update instantly in your app as you modify your script.
Tech Stack
Python
Use Cases
Streamlit is highly versatile and can be used in various scenarios where data needs to be presented interactively or models need an easy interface.
Interactive Data Dashboards
Details
Build interactive dashboards to explore datasets, filter data, and visualize results dynamically.
User Value
Enables rapid data exploration and insight sharing with non-technical users.
Machine Learning Model Showcases
Details
Create web interfaces to demonstrate machine learning models, allowing users to input data and see predictions in real-time.
User Value
Simplifies model communication and allows for easy testing and validation.
Internal Data Tools
Details
Develop internal tools for data labeling, annotation, or process monitoring.
User Value
Boosts team productivity by providing custom tools tailored to specific data workflows.
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