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If your program only runs on Linux and macOS, you do not need a platform check around uvloop. Import it directly and start the program with uvloop.run(main()). If the same entry point must also start on Windows, move the platform decision into one place, either your own import logic or a selector package such as winuvloop, which routes Windows to winloop and POSIX systems to uvloop. The right choice depends on which operating systems you target and who creates the event loop.
Why the platform check exists in the first place
uvloop is a fast implementation of asyncio’s event loop, built with Cython and libuv. The project describes itself as a drop-in replacement for the built-in asyncio event loop. Its PyPI metadata lists classifiers for macOS and POSIX systems and does not list Windows. That means code that imports uvloop unconditionally is not Windows-capable, and the platform check exists to keep Windows startup from failing at import time.
Choose a setup by target and entry point
The choice comes down to three questions: which operating systems must start the program, whether your code or a framework creates the loop, and whether you need uvloop-specific APIs.
| Situation | Recommended setup | Who creates the event loop | Windows behavior |
|---|---|---|---|
| Service or CLI that runs only on Linux and macOS | Import uvloop directly and call uvloop.run(main()) |
Your entry point, through the uvloop helper | Not supported by uvloop; do not run this path on Windows |
| One entry point that must start on Windows and POSIX | A selector package such as winuvloop, or a single sys.platform check in one module |
Your entry point, after the backend is selected at import | winuvloop routes Windows to winloop |
| Framework or hosting platform that creates the loop | The framework’s supported loop configuration, with the backend installed and selected before the framework starts | The framework or platform | Depends on the framework; not stated by uvloop |
| Code that calls uvloop-specific APIs or debugs at the backend level | Import uvloop directly on POSIX targets | Your code | Not supported by uvloop; use a separate Windows path |
POSIX-only: call uvloop.run() directly
The project’s preferred pattern is the uvloop.run() helper, which configures asyncio.run() to use uvloop. You do not need to assemble a separate event-loop setup for this path.
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- Install the package into the project’s virtual environment with
pip install uvloop. - Find the place where your program calls
asyncio.run(main()). This is usually the module’sif __name__ == "__main__":block. - Replace that call with
uvloop.run(main()), keeping yourasync def main()unchanged. - Run the program on a Linux or macOS machine. Startup should behave as it did with
asyncio.run(), with the uvloop loop underneath.
import uvloop
async def main():
...
if __name__ == "__main__":
uvloop.run(main())If your continuous integration pipeline includes Windows runners, this file will fail at import on those runners. Either exclude Windows from that job or move to the shared setup below.
Shared Windows and POSIX entry point
When one program must start on both families, the platform decision can live in a selector package, so each call site imports one module and never checks the platform itself.
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What winuvloop does
winuvloop is a third-party package, not a Windows backend shipped by the uvloop project. Its documentation maps Windows to winloop and Linux, macOS, and other POSIX systems to uvloop. Its package page lists an August 24, 2026 release date. Treat its compatibility statements as the package’s own documentation rather than guarantees from the uvloop maintainers.
What to verify before you adopt it
- The backend on each platform you support. Confirm that Windows resolves to winloop and POSIX resolves to uvloop in your own environment.
- Python version support for both backends on your target interpreters. uvloop’s current metadata requires Python 3.8.1 or later.
- Wheel availability for each platform and interpreter you deploy to. The winuvloop documentation warns that when an upstream wheel is missing, installation may need local build tooling.
- The dependency footprint you are adding for the Windows path, since the selector pulls in a second backend.
When a platform check is still the better choice
A selector is one valid implementation, not an obligation. If your code calls uvloop-specific APIs or you debug at the backend level, the selector’s own guidance points to using the upstream backend directly. A small sys.platform check in one startup module achieves the same goal without adding a dependency. The aim in both cases is a single decision point, not checks scattered across call sites.
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Frameworks and managed hosts that create the loop
If a framework, process manager, or hosting platform creates the event loop, the backend has to be installed and selected before that creation happens. A selector that works in a script can still fail under a different launcher.
- Check the framework’s documentation for its supported loop configuration before adding any custom selection code.
- Test the exact launch command your deployment uses, such as the server command in your process manager file, not only
python main.py. - Confirm which loop is active at runtime by logging the loop type once at startup.
Installation and wheel availability
uvloop is distributed as platform-specific builds, so the install result depends on your OS and Python interpreter. To confirm that a prebuilt wheel exists rather than triggering a source build, run:
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pip install --only-binary=:all: uvloopIf no matching wheel exists, pip stops with an error instead of compiling from source. That failure tells you to pin a supported interpreter or install the local build tools the package needs. The current PyPI release, uvloop 0.23.0, is dated October 1, 2026 in the package metadata.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What the speed figure does and does not tell you
The project’s published claim is that uvloop is 2 to 4 times faster. That figure comes from the project’s own echo-server benchmark cases covering sockets, streams, and protocols. The PyPI page does not state the year the benchmark was run. It is not a prediction for an arbitrary application, because a real service spends time in its database driver, serialization, and business logic, none of which the echo benchmark exercises.
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To judge the effect on your code, run the same workload twice, once on asyncio.run() and once on the uvloop path, using the same Python version and hardware, and compare throughput and latency under realistic load. Only that comparison measures your application.
The project’s own description makes the scope clear: uvloop is “a fast, drop-in replacement of the built-in asyncio event loop.”
Recommended path
Use uvloop directly and call uvloop.run(main()) for code that only starts on Linux and macOS. Use winuvloop or one startup-level platform check when the same program must start on Windows, and verify its backend, Python, and wheel support on each target before you commit to it.
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