IMDbPY is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters, and companies. It can retrieve data from both the IMDb's Web server and a local copy of the whole database. The IMDbPY package can be very easily used by programmers and developers to provide access to the IMDb's data to their programs. Some simple example scripts are included in the package.
MDS (Mandriva Directory Server), along with the Mandriva Management Console (MMC), is a powerful system that allows developers, system administrators, and other software vendors to manage users, groups, and their associated policies in both OpenLDAP server and Fedora Directory Server which allows multi-master replication. Its highly ergonomic interface design makes it very easy to use, and delegation of administration enables medium size organization to adopt MDS.
MediaCore is a media-focused CMS. It features rich video and audio support, YouTube/Vimeo integration, HTML5 video, support for the iPad/iPhone, podcasting, iTunes RSS generation, user-submitted content, an embedded media player, and searching. It is highly customizable. There is both a front-end for users and a back-end for administrators. Users can browse videos or podcasts. Users can search for videos by topics and tags. Users can upload videos to the platform; administrators can moderate newly uploaded videos. Administrators can add video, audio, or podcasts. A comment platform for moderation is built-in. Podcasts can be video or audio. It also has automatic iTunes feed generation, automatic RSS feed generation, and feedburner support.
sqlamp is an implementation of Materialized Path, an efficient algorithm for working with hierarchical data structures. sqlamp uses (and depends on) SQLAlchemy. Materialized Path is a way to store (and fetch) trees in a relational databases. It is the compromise between Nested Sets and Adjacency Relations in respect to simplicity and efficiency.
mixd.tv helps you discover videos from your favorite online sources. You can use text searches or browse channels, add your favorite videos to the video library or publish them to the mixd.tv community in a playlist or via Facebook, and subscribe to channels and receive automatic updates.
The Pegasus Workflow Management System encompasses a set of technologies which help workflow-based applications execute in a number of different environments, including desktops, campus clusters, grids, and clouds. It bridges the scientific domain and the execution environment by automatically mapping high-level workflow descriptions onto distributed resources. It automatically locates the necessary input data and computational resources necessary for workflow execution. It enables scientists to construct workflows in abstract terms without worrying about the details of the underlying execution environment or the particulars of the low-level specifications required by the middleware (Condor, Globus, or Amazon EC2). It bridges the current cyberinfrastructure by effectively coordinating multiple distributed resources.
Ibid is a multi-protocol, general purpose, instant messaging chat bot written in Python. It aims for a naturalistic interface rather than strict-syntax commands. Ibid understands many protocols, including IRC, Jabber/XMPP/Google Talk, Campfire, NMDC, and SILC. It also interacts over SMTP, HTTP, and various RPC protocols. Ibid aims to make plugins as easy as possible to write. It ships with a large collection of plugins for looking up information, performing conversions, storing factoids, delivering messages, and much more.
Cubes is a Python framework for online analytical processing (OLAP), multidimensional analysis, star and snowflake schema denormalization, and cube comptutation. It features a logical model that describes how data are being analyzed and reported, independent of physical data implementation, hierarchical dimensions (attributes that have hierarchical dependencies, such as category-subcategory or country-region), localizable metadata and data localization.
SASqlConsole is a unified SQL console based on SQLAlchemy. It features pretty colors, intelligent formatting of output, convenient CSV output, a consistent interface across all backends supported by SQLAlchemy, persistent readline history, and tab completion of all tables and columns and a selection of SQL keywords.