We have collection of more than 1 Million open source products ranging from Enterprise product to
small libraries in all platforms. We aggregate information from all open source repositories.
Search and find the best for your needs. Check out projects section.
HBase provides support to handle BigTable - billions of rows X millions of columns. It is a scalable, distributed, versioned, column-oriented store modeled after Google's Bigtable and runs on top of HDFS (Hadoop Distributed Filesystem). It features compression, in-memory operation per-column. Data could be replicated between the nodes. HBase is used in Facebook and Twitter.
The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model. Cassandra is suitable for applications that can't afford to lose data. Data is automatically replicated to multiple nodes for fault-tolerance.
Spring is an Application framework which has Inversion of Control container, Aspect-oriented programming framework, Data access, Transaction management, Model-view-controller for web, Remote access framework (RPC) and lot more. It is well integrated with Toplink, Hibernate, JDO, and iBATIS.
The OpenSync project provides synchronization framework. OpenSync's main and most practical goal is to create a solution to synchronize PIM (Personal Information Management - addressbook contacts, calendar events and tasks, personal notes, etc) data between mobile devices like mobile phones, PDAs (Personal Digital Assistant), desktop computer PIM tools and services.
jquery social media plugin that aggregates and combines Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest and.. Combine social feeds from multiple social networks or RSS in elegant layouts via this social plugin.
Scribe is a server for aggregating log data that's streamed in real time from clients. It is designed to be scalable and reliable. It is developed and maintained by Facebook. It is designed to scale to a very large number of nodes and be robust to network and node failures. There is a scribe server running on every node in the system, configured to aggregate messages and send them to a central scribe server (or servers) in larger groups.