Map Reduce

Simple, elegant, Pythonic functional programming.

Transform directed acyclic graphs using map-reduce and groupby operations

Simple, elegant, Pythonic functional programming.

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..

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

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

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.

Big data data processing for tar archives.

Python support library for CFMR

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

A simple map reduce multithreaded library

Data processing toolkit radically changing the way data is processed

Lightweight chaining functional methods for iterables

r3 is a map-reduce engine written in python

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

Map-Reduce parallelism over FIFOs (named pipes)

Java Stream implementation for Python

Easy parallel map-reduce command line tool

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

A Python package for reducing mapping-like objects using reducer objects, implemented in Rust.

an anti-pythonic map reduce utility

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

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

Pure Python implementation of Map-Reduce over AMQP

Pythonic in-memory MapReduce.

Hadoop and Hive Python Thrift Libs

Map and reduce for batch-jobs in distributed computing.

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

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.

A Python library for prototyping MapReduce jobs

Tool for distributed computing with python

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

Parallel computing framework

A universal reader and writer for stateful data file processing

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

Pymar addition to easily scale your operations with MongoDB collections.

Utilities for running functions in parallel

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

Run tile-reduce map jobs in Python

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

A library for incremental, in-memory map-reduces

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

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

Extract data from common crawl using elastic map reduce

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