Map Reduce

Simple, elegant, Pythonic functional programming.

Simple, elegant, Pythonic functional programming.

Transform directed acyclic graphs using map-reduce and groupby operations

Version 3 of pype, a Python-integrated functional programming language - Provides easy-to-use pseudo-macros for common functional programming tasks such as maps, reduces, filters, conditionals, dictionary manipulations, and list manipulations..

Python-integrated functional programming language - Provides easy-to-use pseudo-macros for common functional programming tasks such as maps, reduces, filters, conditionals, dictionary manipulations, and list manipulations..

Lightweight chaining functional methods for iterables

Python support library for CFMR

Easy parallel map-reduce command line tool

A set of map-reduce high-order functions to use with parallel or xargs

Rapidly build pipelines for out-of-core data processing using higher order functions.

A zero-configuration, non-distributed, JSON-based document storage and analysis module focusing on the manipulation, grouping and filtering of unstructured data from various sources. MapReduce is also supported for more advanced analysis methods. Query syntax is similar to SQL-Alchemy's filter method.

Add .map, .filter and .reduce as list methods

Map-Reduce parallelism over FIFOs (named pipes)

Java Stream implementation for Python

Data processing toolkit radically changing the way data is processed

Autoscaling Elastic Map Reduce (EMR) clusters and Kinesis streams on Amazon Web Services.

Big data data processing for tar archives.

r3 is a map-reduce engine written in python

An improvement on Python's map, filter and reduce.

Hadoop and Hive Python Thrift Libs

A collection of basic list functions which can be run in parallel mode (both sync or async).

A Python library for prototyping MapReduce jobs

an anti-pythonic map reduce utility

Tool for distributed computing with python

Pure Python implementation of Map-Reduce over AMQP

SMR (Simple Map Reduce) is a simple tool for writing map-reduce jobs in python

Map and reduce for batch-jobs in distributed computing.

A non-distributed numpy-based analysis module focusing on the manipulation, grouping and filtering of data from various sources. Bops also has map-reduce functionality.

Pythonic in-memory MapReduce.

Use map, filter, reduce functions as a sh like infix syntax with |.

Python library for creating map-reduce workflows on AWS Lambda.

Parafun makes it easy to distribute the computation of Python functions using a map-reduce cluster.

Pymar addition to easily scale your operations with MongoDB collections.

Pymar addition to easily scale your operations with tables of relational data bases.

A library for incremental, in-memory map-reduces

Generate gene and species trees from thousands of loci using Map-Reduce

Run tile-reduce map jobs in Python

Utilities for running functions in parallel

Airflow plugin that captures, parses, and visualizes Hive log files

A universal reader and writer for stateful data file processing

Parallel computing framework

1d/2d data container with map-reduce transformers

Extract data from common crawl using elastic map reduce

java stream style(high order, map reduce and method chaining) library for simplify the multiple map and filter operations