ANN: Kamaelia 1.0.12.0 Released

Michael Sparks sparks.m at gmail.com
Tue Dec 28 19:43:17 CET 2010


Hi,


I'm happy to announce Kamaelia's 4th release of 2010:  1.0.12.0   
(Y.Y.M.r)

Kamaelia is a component system based around unix-like 
concurrency/composition &
pipelining. There's a strong focus on networked multimedia systems.

Kamaelia's license changed earlier this year to the Apache 2.0 License.

The release is divided up as follows:
    * Axon - the core component framework. Provides safe and secure
      message based concurrency & composition using generators as
      limited co-routines, threads, experimental process based support,
      and (simplified) software transactional memory. Includes examples.

    * Kamaelia - A large Ol' Bucket of components, both application
      specific and generic. Components vary from network systems,
      through digital tv, graphics, visualisation, data processing etc.
      These reflect the work and systems that Kamaelia has been used
      to build. Includes examples.

    * Apps - A collection of applications built using Kamaelia. Whilst
      Kamaelia includes a collection of examples, these are either
      releases of internal apps or exemplars created by contributors.

    * Bindings - a collection of bindings we maintain as part of
      Kamaelia, including things like DVB bindings. (Bindings recently
      changed over to using Cython to make life simpler)

Website:
    http://www.kamaelia.org/Home.html

Source:
    http://code.google.com/p/kamaelia

Tutorial:
    http://www.kamaelia.org/PragmaticConcurrency.html

Detail of changes:
    http://groups.google.com/group/kamaelia/browse_frm/thread/db45646ce1790233

Download:
    http://www.kamaelia.org/release/MonthlyReleases/Kamaelia-1.0.12.0.tar.gz 

Overview of Changes in this release:
    * This rolls up (primarily) 3 application and examples branches.
      The core functionality for these, as ever, is in the main
      Kamaelia.Apps namespace, meaning these applications and examples
      are designed for inclusion or extraction into other applications
      relatively easily.

      As a result they act as exemplars for things like 3D
      visualisation, video and audio communications, twitter mining,
      database interaction and analysis and django integration. They're
      also useful (and used) as standalone apps in their own right.

   * Examples (and application components) added for using the 3D
     graph visualisation (PyOpenGL based) - one based on visualising
     collaborations, another based on viewed FOAF networks.

   * Whiteboard application extended such that:
        * It supports multiway video comms as well as multiway audio
          comms.
        * Adds support for "decks" (collections of slides which can be
          downloaded, saved, loaded, emailed, encrypted, etc)
        * Removes pymedia dependency
        * Change audio over to us PyAlsaAudio directly.
        * Adds support for calibrated touch screen displays to Pygame
          Display.
            - For example large digital whiteboards in addition to
              existing tablets etc.

   * Adds in a "Social Bookmarking system" that does the following:
        * Harvests a semantic web/RDF data store for realtime search
          terms (relating to live television broadcast)
        * Uses these search terms to search twitter, to identify
          conversations around the semantic web data.
        * Takes the resulting tweets, and stores them in a DB
        * Analyses the tweets (including fixing language for analysis
          using NLTK) for a variety of aspects, storing these in the DB
        * Presents the results (graphs of buzz/popularity around the
          content)
        * Additionally the system attempts to identify particularly
          interesting/notable moments based on audience conversations,
          and provides links back to the actual broadcast programmes.
        * Additionally provides an API for data, generates word
          clouds etc.
        * Front end uses Django and web graph APIs to presnet data. 

Mailing list:
    http://groups.google.com/group/kamaelia

Have fun :-)


Michael Sparks
--
http://twitter.com/kamaelian
http://yeoldeclue.com/blog



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