Apache Samoa

Abstracts complexity from underlying streaming processing engines like Apache Storm and S4, allowing developers to focus on ML algorithms, as stated in the README: 'enables development of new ML algorithms without dealing with the complexity of underlying streaming processing engines.'

Supports writing algorithms once and running them on multiple SPEs, such as Storm, S4, and Apex, enabling flexibility across execution environments. From the README: 'execute the algorithms in multiple SPEs, i.e., code the algorithms once and execute them in multiple SPEs.'

Allows integration of new streaming processing engines into the framework, ensuring future adaptability. The README notes: 'provides extensibility in integrating new SPEs into the framework.'

Specialized for big data stream mining with a distributed framework, offering tools tailored for real-time machine learning scenarios, as highlighted in the project description as a 'platform for mining big data streams.'