How to Use uvloop Faster Event Loop

Install uvloop at startup to replace asyncio's default event loop with a faster libuv-based one, with a graceful fallback when it's unavailable.

Easy Python 3.9+ Aug 9, 2026 Concurrency & performance 14 views 0 copies

Requires third-party packages — install first
pip install uvloop

Python code

23 lines
Python 3.9+
import asyncio
try:
    import uvloop
    uvloop.install()
    USING_UVLOOP = True
except ImportError:
    USING_UVLOOP = False


async def fetch_data(index):
    await asyncio.sleep(0.01)
    return f"data-{index}"


async def main():
    tasks = [fetch_data(i) for i in range(10)]
    results = await asyncio.gather(*tasks)
    print(f"Using uvloop: {USING_UVLOOP}")
    print(results)


if __name__ == "__main__":
    asyncio.run(main())

Output

stdout
Using uvloop: True
['data-0', 'data-1', 'data-2', 'data-3', 'data-4', 'data-5', 'data-6', 'data-7', 'data-8', 'data-9']

How it works

uvloop wraps libuv, the engine behind Node.js, giving asyncio a much faster event loop for I/O-heavy workloads. Calling uvloop.install() before asyncio.run() swaps in the new loop globally for the process. The try/except ImportError keeps the script portable — in environments without uvloop installed, asyncio's standard loop runs instead. asyncio.gather runs the 10 coroutine tasks concurrently, so the total sleep remains ~0.01s instead of 0.1s. The USING_UVLOOP flag lets you log or conditionally test which loop is active.

Common mistakes

  • Calling uvloop.install() after asyncio.run() or inside a running loop, which does nothing
  • Forgetting to wrap the import in try/except, crashing on systems without uvloop
  • Assuming uvloop gives a speedup for CPU-bound code — it only accelerates async I/O
  • Checking `USING_UVLOOP` after the loop may have already started

Variations

  1. Use `uvloop.new_event_loop()` then `asyncio.set_event_loop()` for finer control
  2. Keep a separate fast path for cpuvs speed with `python -m uvloop` invocation

Real-world use cases

  • Boosting throughput for async web servers like aiohttp or FastAPI under high concurrent connections.
  • Reducing latency in microservices that proxy many external API calls concurrently.
  • Speeding up high-frequency WebSocket or gRPC connections in real-time chat or notifications services.

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Run locally

This sample needs third-party packages, so it cannot run in the browser IDE. Copy the code above, install the packages shown at the top, then run it in your own Python environment.

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