Catharsis.Grails.Widgets is a Grails 2 tag library that provides useful social media tags to include in Web pages. The following areas are covered : Cackle [Comments, OAuth Login]; Disqus [Comments]; Facebook [Activity Feed, Recommendations Feed, Follow Button, Like Button, Like Box, Send Button, Comments, Facepile, Embedded Post, Embedded Video]; Google [Google Analytics, Google "+1" Button]; IntenseDebate [Comments, Comments Count Hyperlink]; Mail.ru [ICQ On-Site, Like Button, Embedded Video]; RuTube [Embedded Video]; Surfingbird [Like Button]; Tumblr [Follow Button, Share Button]; Twitter [Follow Button, Tweet Button]; Vimeo [Embedded Video]; VKontakte [Comments, Community, Like Button, Subscribe, Embedded Video]; Yandex [Yandex Analytics, Ya Button, Share Button, Embedded Video, Yandex.Money Payment Button, Yandex.Money Donate Form, Yandex.Money Payment Form]; YouTube [Embedded Video].
Catharsis.NET.Web.Widgets is an ASP.NET MVC tag library that provides useful social media widgets that be be included on your Web pages. Web widgets are implemented as C# POCO objects that implement System.Web.IHtmlString and provide a convenient fluent interface. Extension methods for System.Web.Mvc.HtmlHelper are provided for ease of rendering. It supports Cackle, Disqus, Facebook, Google, IntenseDebate, Mail.ru, RuTube, Surfingbird, Tumblr, Twitter, Vimeo, VKontakte, Yandex, YouTube, and the VideoJS player.
Emaigos imports Google contacts and calendars into Emacs. Contacts are stored in a Big Brother Database (BBDB) file, which makes them usable with many Emacs email packages, like Gnus. Google calendars are stored as a single Org-mode file, so events may be viewed as a structured document and possibly shown within an Agenda view. With Emaigos, it's possible to use Google as a contacts and calendars manager, while having all the same data available within Emacs. The original Google contacts and calendars are not modified in any way by Emaigos. The name "Emaigos" is an acronym for "EMAcs Importer for GOogle Stuff".
Speech synthesis for asterisk is an Asterisk AGI script that uses Google Translate to convert text to speech and play it back to the user. It supports a variety of different languages, local caching of voice data, and a choice between 8 kHz or 16 kHz sample rates to provide the best possible sound quality along with the use of wideband codecs.