Ganga is an easy-to-use frontend for the configuration, execution, and management of computational tasks in a variety of distributed environments including Grid, Batch and Local resources. It is an open and extensible system with specialized plugins to support ATLAS and LHCb data analysis. Users may interact with Ganga through a choice of interfaces: a CLI in Python, scripting or GUI. Ganga also provides integrated monitoring capabilities for jobs and tasks through a web-based monitoring applications and Dashboard monitoring services.

Ganga supports a large variety of computing backends, including several middleware flavours, gLite, Condor, LSF, PBS, SGE systems and experiment-specific workload management services such as PANDA and DIRAC. Ganga is also sometimes used as an API to build higher-level services such as Hammercloud.

Help the experiments in integrating their software with grid middleware, assist them with their operations, support the persistency framework, distributed analysis and VO services/tools as part of the move to sustainable operations ("Heavy User Communities")