Skip to content

Lightweight in-process concurrent programming

License

Unknown, Unknown licenses found

Licenses found

Unknown
LICENSE
Unknown
LICENSE.PSF
Notifications You must be signed in to change notification settings

susematz/greenlet

 
 

Repository files navigation

The greenlet package is a spin-off of Stackless, a version of CPython that supports micro-threads called "tasklets". Tasklets run pseudo-concurrently (typically in a single or a few OS-level threads) and are synchronized with data exchanges on "channels".

A "greenlet", on the other hand, is a still more primitive notion of micro-thread with no implicit scheduling; coroutines, in other words. This is useful when you want to control exactly when your code runs. You can build custom scheduled micro-threads on top of greenlet; however, it seems that greenlets are useful on their own as a way to make advanced control flow structures. For example, we can recreate generators; the difference with Python's own generators is that our generators can call nested functions and the nested functions can yield values too. Additionally, you don't need a "yield" keyword. See the example in tests/test_generator.py.

Greenlets are provided as a C extension module for the regular unmodified interpreter.

Greenlets are lightweight coroutines for in-process concurrent programming.

Who is using Greenlet?

There are several libraries that use Greenlet as a more flexible alternative to Python's built in coroutine support:

Getting Greenlet

The easiest way to get Greenlet is to install it with pip or easy_install:

pip install greenlet
easy_install greenlet

Source code archives and windows installers are available on the python package index at http://pypi.python.org/pypi/greenlet

The source code repository is hosted on github: https://github.com/python-greenlet/greenlet

The master branch - i.e. the development version - can be installed directly by running one of the following:

pip install greenlet==dev
easy_install greenlet==dev

About

Lightweight in-process concurrent programming

Resources

License

Unknown, Unknown licenses found

Licenses found

Unknown
LICENSE
Unknown
LICENSE.PSF

Stars

Watchers

Forks

Packages

No packages published

Languages

  • C 49.2%
  • Python 34.0%
  • C++ 12.2%
  • Shell 3.4%
  • Assembly 1.2%