Streamlit Web Framework

A Streamlit Web Framework is an open-source Python-based data science web app framework that enables rapid creation and deployment of interactive data applications with minimal coding requirements.

• AKA: Streamlit, Streamlit Library, Streamlit Framework, Streamlit Python Framework.
• Context:
  • It can typically create Interactive Web Applications through Python scripts without requiring frontend development knowledge.
  • It can typically render Data Visualizations with real-time updates when underlying data changes.
  • It can typically convert data science code into shareable web applications through declarative syntax.
  • It can typically handle data processing workflows with built-in caching mechanisms to improve performance.
  • It can typically support interactive widgets such as sliders, buttons, and input fields for user interaction.
  • ...
  • It can often integrate with popular data science libraries including pandas, numpy, matplotlib, and scikit-learn.
  • It can often facilitate machine learning model demonstrations through interactive interfaces.
  • It can often enable collaborative development through Streamlit Community Cloud.
  • It can often provide custom styling options via theming mechanisms.
  • It can often implement data connections to various databases and APIs through st.experimental_connection.
  • ...
  • It can range from being a Simple Data Visualization Tool to being a Complex Interactive Application Framework, depending on its implementation complexity.
  • It can range from being a Basic Prototyping Tool to being an Enterprise-Grade Application Platform, depending on its deployment configuration.
  • It can range from being a Single-Developer Project to being a Collaborative Team Platform, depending on its usage context.
  • ...
  • It can have Streamlit Components for extended functionality.
  • It can have caching systems for performance optimization.
  • It can have theming capabilities for visual customization.
  • It can have deployment options through Streamlit Community Cloud for public sharing.
  • It can have knowledge base resources for developer support.
  • ...
• Examples:
  • Streamlit Versions, such as:
    • Recent Streamlit Releases, such as:
      • Streamlit Version 1.29.0 (November 2023) with border options for containers and forms, and Python 3.12 support.
      • Streamlit Version 1.27.0 (October 2023) with Python 3.11 support, dependency upgrades, and bug fixes.
      • Streamlit Version 1.26.0 (October 2023) with enhanced caching features, data visualization improvements, and streaming data support.
      • Streamlit Version 1.25.0 (October 2023) with new widgets for input and output, performance enhancements, and bug fixes.
      • Streamlit Version 1.24.0 (October 2023) with Streamlit Cloud support, a hosted platform for app deployment and sharing.
      • Streamlit Version 1.23.0 (June 2023) with general availability of st.data_editor and Column configuration API.
    • Earlier Streamlit Releases, such as:
      • Streamlit Version 1.22.0 (April 2023) introducing st.experimental_connection for data source connections.
      • Streamlit Version 1.19.0 (February 2023) introducing st.experimental_data_editor for editing DataFrames.
      • Streamlit Version 1.0.0 marking stable release milestone.
  • ...
• Counter-Examples:
  • Dash Framework, which uses a component-based approach rather than streamlit declarative syntax and requires more boilerplate code.
  • Gradio Framework, which specializes in machine learning model demonstrations but offers less general-purpose data application capabilities.
  • Flask Framework, which provides a low-level web framework requiring more manual implementation of web application components.
  • Panel Framework, which offers more flexible layout systems but with steeper learning curve.
  • Bokeh Framework, which focuses on interactive visualizations but requires more configuration for full application development.
• See: Python Web Framework, Data Visualization Library, Web Application Framework, Machine Learning Tool, Data Science Tool, Interactive Dashboard System.

---

---

References

2023

• (Streamlit documentation, 2023) ⇒ https://docs.streamlit.io
  • Quote:
    • 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 minutes you can build and deploy powerful data apps​``oaicite:{"number":1,"metadata":{"title":"Streamlit documentation","url":"https://docs.streamlit.io/","text":"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 minutes you can build and deploy powerful data apps","pub_date":null}}``​.
    • Streamlit library includes our Get started guide, API reference, and more advanced features of the core library including caching, theming, and Streamlit Components​``oaicite:{"number":1,"metadata":{"title":"Streamlit documentation","url":"https://docs.streamlit.io/","text":"Streamlit library includes our Get started guide, API reference, and more advanced features of the core library including caching, theming, and Streamlit Components","pub_date":null}}``​.
    • Streamlit Community Cloud is an open and free platform for the community to deploy, discover, and share Streamlit apps and code with each other. Create a new app, share it with the community, get feedback, iterate quickly with live code updates, and have an impact​``oaicite:{"number":1,"metadata":{"title":"Streamlit documentation","url":"https://docs.streamlit.io/","text":"Streamlit Community Cloud is an open and free platform for the community to deploy, discover, and share Streamlit apps and code with each other. Create a new app, share it with the community, get feedback, iterate quickly with live code updates, and have an impact","pub_date":null}}``​.
    • Knowledge base is a self-serve library of tips, step-by-step tutorials, and articles that answer your questions about creating and deploying Streamlit apps​``oaicite:{"number":1,"metadata":{"title":"Streamlit documentation","url":"https://docs.streamlit.io/","text":"Knowledge base is a self-serve library of tips, step-by-step tutorials, and articles that answer your questions about creating and deploying Streamlit apps","pub_date":null}}``​.
    • Streamlit is more than just a way to make data apps, it's also a community of creators that share their apps and ideas and help each other make their work better​``oaicite:{"number":1,"metadata":{"title":"Streamlit documentation","url":"https://docs.streamlit.io/","text":"Streamlit is more than just a way to make data apps, it's also a community of creators that share their apps and ideas and help each other make their work better. Please come join us on the community forum. We love to hear your questions, ideas, and help you work through your bugs — stop by today","pub_date":null}}``​.

---