hupper is monitor for your Python process. When files change, the process will be restarted. It can be extended to watch arbitrary files. Reloads can also be triggered manually from code. File monitoring can be done using basic polling or using inotify-style filesystem events if watchdog is installed.


Stable release

To install hupper, run this command in your terminal:

$ pip install hupper

If you don’t have pip installed, this Python installation guide can guide you through the process.

From sources

The sources for hupper can be downloaded from the Github repo.

$ git clone

Once you have a copy of the source, you can install it with:

$ pip install -e .

Watchdog support

If watchdog is installed, it will be used to more efficiently watch for changes to files.

$ pip install watchdog

This is an optional dependency and if it’s not installed, then hupper will fallback to less efficient polling of the filesystem.

Command-line Usage

Hupper can load any Python code similar to python -m <module> by using the hupper -m <module> program.

$ hupper -m myapp
Starting monitor for PID 23982.

API Usage

The reloading mechanism is implemented by forking worker processes from a parent monitor. Start by defining an entry point for your process. This must be an importable path in string format. For example, myapp.scripts.serve.main:

# myapp/scripts/

import sys
import hupper
import waitress

def wsgi_app(environ, start_response):
    start_response('200 OK', [('Content-Type', 'text/plain'])
    yield [b'hello']

def main(args=sys.argv[1:]):
    if '--reload' in args:
        # start_reloader will only return in a monitored subprocess
        reloader = hupper.start_reloader('myapp.scripts.serve.main')

        # monitor an extra file


Many applications will tend to re-use the same startup code for both the monitor and the worker. As a convenience to support this use case, the hupper.start_reloader() function can be invoked both from the parent process as well as the worker. When called initially from the parent process, it will fork a new worker, then start the monitor and never return. When called from the worker process it will return a proxy object that can be used to communicate back to the monitor.

Checking if the reloader is active

hupper.is_active() will return True if the reloader is active and the current process may be reloaded.

Controlling the monitor

The worker processes may communicate back to the monitor and notify it of new files to watch. This can be done by acquiring a reference to the hupper.interfaces.IReloaderProxy instance living in the worker process. The hupper.start_reloader() function will return the instance or hupper.get_reloader() can be used as well.

More Information

Indices and tables