Metadata-Version: 1.1
Name: asyncoro
Version: 3.6.14
Summary: Python framework for concurrent, distributed, asynchronous network programming with coroutines, asynchronous completions and message passing.
Home-page: http://asyncoro.sourceforge.net
Author: Giridhar Pemmasani
Author-email: pgiri@yahoo.com
License: MIT
Description:  asyncoro
        ##########
        
        asyncoro is a Python framework for concurrent, distributed,
        asynchronous network programming with coroutines, asynchronous
        completions and message passing.
        
        Unlike with other asynchronous frameworks, programs developed with
        asyncoro have **same logic and structure** as programs with threads,
        except for a few syntactic changes - mostly using *yield* with
        asynchronous completions that give control to asyncoro's scheduler,
        which interleaves executions of coroutines, similar to the way an
        operating system executes multiple processes. In addition, asyncoro
        has many additional features, including message passing for
        communication, distributed computing/programming etc.
        
        Unlike threads, creating processes (coroutines) with asyncoro is very
        efficient. Moreover, with asyncoro context switch occurs only when
        coroutines use *yield* (typically with an asychronous call), so there
        is no need for locking and there is no overhead of unnecessary context
        switches.
        
        asyncoro works with Python versions 2.7+ and 3.1+. It has been tested
        with Linux, Mac OS X and Windows; it may work on other platforms, too.
        
        Features
        --------
        
        * No callbacks or event loops! No need to lock critical sections either,
        
        * Efficient polling mechanisms epoll, kqueue, /dev/poll, Windows
          I/O Completion Ports (IOCP) for high performance and
          scalability,
        
        * Asynchronous (non-blocking) sockets and pipes, for concurrent
          processing of I/O,
        
        * SSL for security,
        
        * Asynchronous timers, including non-blocking sleep,
        
        * Asynchronous locking primitives similar to Python threading module,
        
        * `Message passing <http://en.wikipedia.org/wiki/Message_passing>`_
          for (local and remote) coroutines to exchange messages one-to-one
          with `Message Queue Pattern
          <http://en.wikipedia.org/wiki/Message_queue>`_ or through
          broadcasting channels with `Publish-Subscribe Pattern
          <http://en.wikipedia.org/wiki/Publish/subscribe>`_,
        
        * `Location transparency
          <http://en.wikipedia.org/wiki/Location_transparency>`_ with naming
          and locating (local and remote) resources,
        
        * Monitoring and restarting of (local or remote) coroutines, for
          fault detection and fault-tolerance,
        
        * Distributing computation components (code and data) for execution of
          distributed communicating processes, for wide range of use cases,
          covering `SIMD, MISD, MIMD
          <https://en.wikipedia.org/wiki/Flynn%27s_taxonomy>`_ system
          architectures at the process level, `web interface
          <http://asyncoro.sourceforge.net/discoro.html#client-browser-interface>`_
          to monitor cluster/application status/performance; `in-memory
          processing <https://en.wikipedia.org/wiki/In-memory_processing>`_,
          and data streaming are supported as well,
        
        * Hot-swapping of coroutine functions, for dynamic system
          reconfiguration,
        
        * Thread pools with asynchronous task completions, for executing
          (external) synchronous tasks, e.g., reading standard input.
        
        Dependencies
        ------------
        
        asyncoro is implemented with standard modules in Python.
        
        If `psutil <https://pypi.python.org/pypi/psutil>`_ is available on nodes, node
        availability status (CPU, memory and disk) is sent in status messages, and shown
        in web browser so node/application performance can be monitored.
        
        Under Windows efficient polling notifier I/O Completion Ports (IOCP) is
        supported only if `pywin32
        <http://sourceforge.net/projects/pywin32/files/pywin32/>`_ is available;
        otherwise, inefficient *select* notifier is used.
        
        Installation
        ------------
        To install asyncoro, run::
        
           python -m pip install asyncoro
        
        Authors
        -------
        * Giridhar Pemmasani
        
        Links
        -----
        * `Project page <http://asyncoro.sourceforge.net>`_.
        * `Tutorial/Examples <http://asyncoro.sourceforge.net/tutorial.html>`_.
        * `GitHub (Code Repository) <https://github.com/pgiri/asyncoro>`_.
        
Keywords: concurrent,distributed,asynchronous network programming,coroutines,message passing
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.1
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries
