graph LR
Streamlit_Server_Bootstrap["Streamlit Server & Bootstrap"]
Streamlit_Backend_Core["Streamlit Backend Core"]
Data_Serialization_Transformation_Backend_["Data Serialization & Transformation (Backend)"]
Streamlit_Frontend_Core_UI["Streamlit Frontend Core & UI"]
Frontend_Communication_File_Handling["Frontend Communication & File Handling"]
Streamlit_Server_Bootstrap -- "Initializes & Serves" --> Streamlit_Backend_Core
Streamlit_Server_Bootstrap -- "Serves Assets & Establishes Connection" --> Frontend_Communication_File_Handling
Streamlit_Backend_Core -- "Sends UI Updates & App State Deltas" --> Streamlit_Frontend_Core_UI
Streamlit_Backend_Core -- "Requests Data Serialization" --> Data_Serialization_Transformation_Backend_
Streamlit_Backend_Core -- "Provides Media/File Assets" --> Frontend_Communication_File_Handling
Data_Serialization_Transformation_Backend_ -- "Provides Serialized Data" --> Streamlit_Backend_Core
Streamlit_Frontend_Core_UI -- "Sends User Interactions & State Updates" --> Streamlit_Backend_Core
Streamlit_Frontend_Core_UI -- "Initiates File Uploads & External Requests" --> Frontend_Communication_File_Handling
Frontend_Communication_File_Handling -- "Establishes & Manages WebSocket" --> Streamlit_Server_Bootstrap
Frontend_Communication_File_Handling -- "Transfers Files & Handles Endpoints" --> Streamlit_Backend_Core
click Streamlit_Server_Bootstrap href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/streamlit/Streamlit_Server_Bootstrap.md" "Details"
click Streamlit_Backend_Core href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/streamlit/Streamlit_Backend_Core.md" "Details"
click Data_Serialization_Transformation_Backend_ href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/streamlit/Data_Serialization_Transformation_Backend_.md" "Details"
click Streamlit_Frontend_Core_UI href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/streamlit/Streamlit_Frontend_Core_UI.md" "Details"
click Frontend_Communication_File_Handling href "https://github.com/CodeBoarding/GeneratedOnBoardings/blob/main/streamlit/Frontend_Communication_File_Handling.md" "Details"
The Streamlit architecture is divided into distinct, interacting components that facilitate the rapid development and deployment of data applications. The Streamlit Server & Bootstrap component acts as the entry point, initializing the application, configuring the environment, and setting up the web server. It serves static frontend assets and establishes the initial communication channels. The Streamlit Backend Core is the server-side Python engine, responsible for executing user scripts, managing application sessions, and orchestrating UI updates. It leverages the Data Serialization & Transformation (Backend) component to efficiently convert Python data into optimized formats for network transmission. On the client-side, the Streamlit Frontend Core & UI renders the user interface based on messages received from the backend, handling interactive elements and displaying data. All client-side network operations, including WebSocket communication, file uploads, and host communication, are managed by the Frontend Communication & File Handling component. This clear separation of concerns allows for efficient data flow and modular development, making it suitable for both detailed documentation and clear visual diagram generation.
Streamlit Server & Bootstrap [Expand]
The foundational component responsible for initiating the Streamlit application. It handles command-line arguments, loads configuration, initializes the backend web server (Tornado), serves static frontend assets, and establishes initial communication channels.
Related Classes/Methods:
Streamlit Backend Core [Expand]
The central Python engine on the server-side. It executes user scripts, manages application sessions, handles script reruns, and orchestrates the flow of UI updates (deltas) to the frontend. This component also encompasses the core st.* API functions (Delta Generator), manages widget and session state, and provides caching and secrets management.
Related Classes/Methods:
Data Serialization & Transformation (Backend) [Expand]
A specialized backend component for efficiently converting Python data structures (e.g., Pandas DataFrames, NumPy arrays, images) into optimized, transportable formats (like Apache Arrow, Protobuf) for network transmission to the frontend.
Related Classes/Methods:
lib/streamlit/dataframe_util.pylib/streamlit/elements/media.pylib/streamlit/elements/lib/image_utils.py
Streamlit Frontend Core & UI [Expand]
The primary client-side application, built with React, responsible for rendering the user interface. It interprets protobuf messages (deltas) from the backend, renders corresponding UI elements and widgets, manages interactive widget behavior, and displays complex data structures and visualizations.
Related Classes/Methods:
Frontend Communication & File Handling [Expand]
Manages all client-side network operations. This includes establishing and maintaining the WebSocket connection with the backend, handling file uploads from the user to the server, retrieving media assets, and managing host communication for embedding scenarios.
Related Classes/Methods: