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We've compiled a list of 3 free and paid alternatives to dispy. The primary competitors include asyncoro, Disco MapReduce. In addition to these, users also draw comparisons between dispy and Apache Hadoop. Also you can look at other similar options here: Development Software, Web Frameworks.
We've compiled a list of 3 free and paid alternatives to dispy. The primary competitors include asyncoro, Disco MapReduce. In addition to these, users also draw comparisons between dispy and Apache Hadoop. Also you can look at other similar options here: Development Software, Web Frameworks.
asyncoro is a Python framework for developing concurrent, distributed programs with asynchronous...
Disco is a lightweight, open-source framework for distributed computing based on the MapReduce...
Apache Hadoop is a open source software framework that supports data-intensive distributed...
dispy is a Python framework for parallel execution of computations by distributing them across...
dispy is a Python framework for parallel execution of computations by distributing them across...
Linux
Mac
Windows
dispy is a Python framework for parallel execution of computations by distributing them across multiple processors on a single machine (SMP), among many machines in a cluster or grid. dispy is well suited for data parallell (SIMD) paradigm where a computation is evaluated with different (large) datasets independently (similar to Hadoop, MapReduce). dispy features include automatic distribution of computations and their dependencies (files, Python functions, classes, modules), security, scheduling computations to specific nodes if necessary, client-side and server-side fault recovery, sharing of compute nodes if desired, etc.
Parallel Computing
Distributed Computing
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