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Dispy

Dispy is an open-source distributed and parallel computing framework for Python. It allows execution of Python functions asynchronously and in parallel on multiple computers.

What is Dispy?

Dispy is an open-source distributed and parallel computing framework for Python. It allows easy distribution of Python computations across multiple processors and computers. Some key features:

  • It can distribute Python functions and scripts across nodes/processors for parallel execution
  • It has support for computation intensive jobs as well as interactive control
  • It uses TCP/IP sockets for communication between nodes
  • It has fault tolerance features like automated load balancing, job scheduling, status messaging etc.
  • It works with shared storage so nodes can access common files
  • It provides APIs for monitoring and control of remote computations

Dispy is well suited for data parallel problems where the same computation needs to be performed on different data. It can help utilize multiple cores and nodes efficiently to speed up Python applications. Its failure handling makes it reliable for long running jobs.

The Best Dispy Alternatives

Top Apps like Dispy

Apache Hadoop, Disco MapReduce, asyncoro are some alternatives to Dispy.

Apache Hadoop

Apache Hadoop is an open source software framework for distributed storage and distributed processing of very large data sets on computer clusters. Hadoop was created by the Apache Software Foundation and is written in Java.Some key capabilities and features of Hadoop include:Massive scale - Hadoop enables distributed processing...

Disco MapReduce

Disco is an open-source MapReduce framework originally developed by Nokia for distributing the computing workloads of extremely large data sets across clusters of commodity hardware. It is designed to be scalable, fault-tolerant and easy to use.Some key features of Disco MapReduce include:Automatic parallelization and distribution of MapReduce jobsFault...

Asyncoro

asyncoro is an open-source Python library that aims to simplify asynchronous programming by enabling a sequential coding style using coroutines. It abstracts away callback-based APIs and event loops, allowing developers to write concurrent code as if it were sequential.Some key features of asyncoro include:Lightweight coroutines (similar to Python's...