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FastAPI: Build Scalable APIs Quickly with 103k+ GitHub Stars

Launch high‑performance, async Python APIs fast—ideal for founders needing production‑ready backends without steep learning curves.

From the repo · “FastAPI framework, high performance, easy to learn, fast to code, ready for production”

103,676 stars+566★ this week10,084 forksPythonGuide quality 8/10 · reviewed Sep 29Install verified Oct 12Updated 10/22/2026100% free · open source
What it does

FastAPI helps startup founders build high-performance APIs quickly with a popular Python framework

When to use it
  • •You need to create a scalable RESTful API for your startup's web application
  • •You want to build a real-time API for live updates and streaming data
  • •You're looking for a framework that supports asynchronous programming and automatic API documentation
Ready-to-paste prompt
Create a simple API to return a JSON response with `@app.get('/items/') def read_items(): return [{'item': 'item1'}, {'item': 'item2'}]`
Heads up: Make sure you have Python 3.7 or later installed, as FastAPI requires it, and also uvicorn for running the app, which can be installed with `pip install uvicorn`
Saves to your device
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🛠️ Technical setup✓ Install verified 10/12/2026

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/fastapi && curl -fsSL https://workflowstacks.com/api/skills/fastapi/claude-skill -o ~/.claude/skills/fastapi/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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How FastAPI: Build Scalable APIs Quickly with 103k+ GitHub Stars works
Codeflow
Free to inspect

FastAPI: Build Scalable APIs Quickly with 103k+ GitHub Stars is a very large Python project (~105k lines across 1145 code files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Very large codebase
~105k lines · 1145 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Python
No API keys detected
Python 100%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    tests/main.py
    Where the program starts running
  3. 3
    pyproject.toml
    Dependencies and the commands it exposes
  4. 4
    fastapi/__init__.py
    Inside fastapi/ — the main logic begins here
What's in each folder
docs/Documentation1921 files
tests/Tests — proof it works593 files
docs_src/Folder464 files
scripts/Helper scripts67 files
fastapi/Core code — the actual logic56 files
.github/CI / automation (GitHub Actions)28 files
READMEHas testsDocumentedCI checksMIT licenseUpdated this month
Quick Actions
Details
Creator
fastapi
Language
Python
Category
ai-agent
Published
12/8/2018

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