Streamlit
Streamlit is an open-source Python library that allows users to create and share interactive web apps for data science and machine learning in minutes. It provides a simple and Pythonic way to build dashboards, generate reports, and create chat apps. Streamlit apps can be deployed, managed, and shared using the Community Cloud platform. The library offers a range of features, including input widgets, dataframes, charts, layout options, and multi-page apps. Additionally, Streamlit has a vibrant community of creators who extend its capabilities using custom components. Streamlit is completely free and open-source, licensed under the Apache 2.0 license. It is designed to be fast, interactive, and easy to use, making it an ideal choice for data scientists and machine learning engineers who want to quickly build and share interactive web apps. Streamlit also provides a range of resources, including documentation, community forums, and blogs, to help users get started and learn how to use the library. With Streamlit, users can create a wide range of apps, from simple dashboards to complex machine learning models, and share them with others in a matter of minutes. Overall, Streamlit is a powerful and flexible library that makes it easy to build and share interactive web apps for data science and machine learning. Streamlit's key features include its simplicity, speed, and ease of use, making it an ideal choice for users who want to quickly build and share interactive web apps. The library's custom components and Community Cloud platform also make it easy to extend and share apps with others. Streamlit's documentation and community resources provide users with the support they need to get started and learn how to use the library. Whether you're a data scientist, machine learning engineer, or simply someone who wants to build and share interactive web apps, Streamlit is a great choice.
- Category
- Dev Tools
- Pricing
- Open Source
Problem solved
Streamlit solves the problem of having to spend weeks or even months building and deploying interactive web apps for data science and machine learning. With Streamlit, users can create and share apps in minutes, making it an ideal choice for users who want to quickly build and share interactive web apps. Streamlit also solves the problem of having to learn complex web development frameworks and technologies, as it provides a simple and Pythonic way to build apps. Additionally, Streamlit solves the problem of having to deploy and manage apps, as it provides a Community Cloud platform that makes it easy to deploy, manage, and share apps.
Use cases
- Building and sharing interactive web apps for data science and machine learning
- Creating dashboards and reports
- Building chat apps and other interactive apps
- Deploying and managing apps using the Community Cloud platform
- Extending app capabilities using custom components
- Sharing apps with others and collaborating on app development
Audience
- Developers
- Data Scientists
- ML Engineers
Pros
- Fast and interactive
- Simple and Pythonic
- Easy to use and deploy
- Customizable and extensible
- Completely free and open-source
Cons
- Limited support for complex web development frameworks and technologies
- Limited support for non-Python languages
- Limited support for non-web apps
Official website: https://github.com/streamlit/streamlit
Canonical LambdaBase page: https://www.lambdabase.com/tools/streamlit