Fastapi Streamlit

🌐Community
by tondevrel · vlatest · Repository

This skill rapidly builds interactive web apps using FastAPI and Streamlit, streamlining development for data applications and demos.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add fastapi-streamlit npx -- -y @trustedskills/fastapi-streamlit
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "fastapi-streamlit": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/fastapi-streamlit"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill combines FastAPI and Streamlit to create web applications with a Python backend. It allows for the rapid development of interactive dashboards and APIs, enabling AI agents to expose functionality through user interfaces or serve data requests. The integration streamlines deployment and simplifies complex workflows involving both API endpoints and visual components.

When to use it

  • Building interactive dashboards: Visualize data analysis results or model outputs in a user-friendly format.
  • Creating simple APIs with UI: Expose backend functionality through an easy-to-use web interface.
  • Developing internal tools: Quickly prototype and deploy custom tools for team members.
  • Data exploration and visualization: Allow users to interactively explore datasets and experiment with different parameters.

Key capabilities

  • FastAPI API endpoint creation
  • Streamlit UI development
  • Combined deployment of backend and frontend components
  • Python-based implementation

Example prompts

  • "Create a Streamlit app that displays the results of this FastAPI endpoint."
  • "Build an API with a Streamlit interface to allow users to adjust parameters and see the output."
  • “Deploy a FastAPI application with a simple Streamlit dashboard for monitoring.”

Tips & gotchas

  • Requires familiarity with both FastAPI and Streamlit.
  • Deployment can be complex, requiring careful configuration of dependencies and server settings.

Tags

🛡️

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Details

Version
vlatest
License
Author
tondevrel
Installs
6

🌐 Community

Passed automated security scans.