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Project Summary

Disco is an open-source implementation of the Map-Reduce framework for distributed computing. As the original framework, Disco supports parallel computations over large data sets on unreliable cluster of computers.

The Disco core is written in Erlang, a functional language that is designed for building robust fault-tolerant distributed applications. Users of Disco typically write jobs in Python, which makes it possible to express even complex algorithms or data processing tasks often only in tens of lines of code. This means that you can quickly write scripts to process massive amounts of data.

Tags

distributed_computing distributed bigdata erlang python mapreduce cluster

This Project has No vulnerabilities Reported Against it

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Languages

Languages?height=75&width=75
Erlang
39%
JavaScript
27%
Python
29%
5 Other
5%

30 Day Summary

Aug 29 2016 — Sep 28 2016

12 Month Summary

Sep 28 2015 — Sep 28 2016
  • 5 Commits
    Down -32 (86%) from previous 12 months
  • 3 Contributors
    Down -2 (40%) from previous 12 months