Simple, elegant, Pythonic functional programming.
Transform directed acyclic graphs using map-reduce and groupby operations
Simple, elegant, Pythonic functional programming.
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.
A Python library for prototyping MapReduce jobs
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..
Lightweight chaining functional methods for iterables
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..
Autoscaling Elastic Map Reduce (EMR) clusters and Kinesis streams on Amazon Web Services.
Big data data processing for tar archives.
Java Stream implementation for Python
Easy parallel map-reduce command line tool
Map-Reduce parallelism over FIFOs (named pipes)
Version 4 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..
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.
Data processing toolkit radically changing the way data is processed
A set of map-reduce high-order functions to use with parallel or xargs
A simple map reduce multithreaded library
A Python package for reducing mapping-like objects using reducer objects, implemented in Rust.
Add .map, .filter and .reduce as list methods
r3 is a map-reduce engine written in python
Hadoop and Hive Python Thrift Libs
A collection of basic list functions which can be run in parallel mode (both sync or async).
An improvement on Python's map, filter and reduce.
an anti-pythonic map reduce utility
SMR (Simple Map Reduce) is a simple tool for writing map-reduce jobs in python
Pythonic in-memory MapReduce.
Pure Python implementation of Map-Reduce over AMQP
Map and reduce for batch-jobs in distributed computing.
Python library for creating map-reduce workflows on AWS Lambda.
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 MongoDB collections.
Extract data from common crawl using elastic map reduce
A threaded version of map reduce
1d/2d data container with map-reduce transformers
Parallel computing framework
A universal reader and writer for stateful data file processing
Airflow plugin that captures, parses, and visualizes Hive log files