reapy is a nice pythonic wrapper around the quite unpythonic ReaScript Python API for REAPER.
If you feel you need more explanation than the straightforward instructions below, head to the detailed installation guide.
reapy is available via pip:
$ pip install python-reapyOne additional step is required to let REAPER know reapy is available. First, open REAPER. Then in a terminal, run:
$ python -c "import reapy; reapy.configure_reaper()"Restart REAPER, and you're all set! You can now import reapy from inside or outside REAPER as any standard Python module.
Instead of creating a new ReaScript containing:
from reaper_python import *
RPR_ShowConsoleMsg("Hello world!")you can open your usual Python shell and type:
>>> import reapy
>>> reapy.print("Hello world!")All ReaScript API functions are available in reapy in the sub-module reapy.reascript_api. Note that in ReaScript Python API, all function names start with "RPR_". That unnecessary pseudo-namespace has been removed in reapy. Thus, you shall call reapy.reascript_api.GetCursorPosition in order to trigger reaper_python.RPR_GetCursorPosition. See example below.
>>> from reapy import reascript_api as RPR
>>> RPR.GetCursorPosition()
0.0
>>> RPR.SetEditCurPos(1, True, True)
>>> RPR.GetCursorPosition()
1.0Note that if you have the SWS extension installed, the additional ReaScript functions it provides will be available in reapy.reascript_api and usable inside and outside REAPER as well.
The purpose of reapy is to provide a more pythonic API as a substitute for ReaScript API. Below is the reapy way of executing the example above.
>>> import reapy
>>> project = reapy.Project() # Current project
>>> project.cursor_position
0.0
>>> project.cursor_position = 1
>>> project.cursor_position
1.0The translation table matches ReaScript functions with their reapy counterparts.
When used from inside REAPER, reapy has almost identical performance than native ReaScript API. Yet when it is used from the outside, the performance is quite worse. More precisely, since external API calls are processed in a defer loop inside REAPER, there can only be around 30 to 60 of them per second. In a time-critical context, you should make use of the reapy.inside_reaper context manager.
>>> import reapy
>>> project = reapy.Project() # Current project
>>> # Unefficient (and useless) call
>>> bpms = [project.bpm for _ in range(1000)] # Takes at least 30 seconds...
>>> # Efficient call
>>> with reapy.inside_reaper():
... bpms = [project.bpm for _ in range(1000)]
...
>>> # Takes only 0.1 second!A small overhead due to sending function and arguments over the network will still occur each time a reapy function is called from outside REAPER. When running the same function many times in a row (e.g. over a thousand times), using reapy.map may significantly increase performance. See its documentation for more details.
Check the documentation and especially the API guide and Translation Table for more information.
For now, about a half of ReaScript API has a reapy counterpart, the docs are far from great, and many bugs are waiting to be found. Feel free to improve the project by checking the contribution guide!
This project is licensed under the MIT License - see the LICENSE.txt file for details.