Data Interpretation

Moksha provides various mechanisms that allows applications to easily interpret dynamic data, along with adding additional functionality to it.

Collaborative glue

Moksha will allow anything to be tagged, shared, discussed, annotated, rated, etc.

Live streams

Any data source, even if moksha has to occasionally poll it, can be displayed as a ‘live’ widget on any web site. Data streams can also easily expose themselves through an AMQP or STOMP message queue, allowing other applications and services to interact with new data, as it is discovered.

Consumers

Moksha allows plugins to monitor arbitrary message “topics”, giving developers the ability to perform various actions upon various events.

Extension Points

Gives developers the ability to add additional functionality to predictable patterns found within dynamic data streams. For example, an extension point could find all occurences of known project names within a data feed, and easily turn them into a dynamic hover menu that could display related data.