Simple, elegant, Pythonic functional programming.
Simple, elegant, Pythonic functional programming.
Transform directed acyclic graphs using map-reduce and groupby operations
Lightweight chaining functional methods for iterables
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..
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.
Easy parallel map-reduce command line tool
Map-Reduce parallelism over FIFOs (named pipes)
Java Stream implementation for Python
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..
Add .map, .filter and .reduce as list methods
Big data data processing for tar archives.
Data processing toolkit radically changing the way data is processed
Autoscaling Elastic Map Reduce (EMR) clusters and Kinesis streams on Amazon Web Services.
an anti-pythonic map reduce utility
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.
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.
Hadoop and Hive Python Thrift Libs
Pure Python implementation of Map-Reduce over AMQP
Pythonic in-memory MapReduce.
r3 is a map-reduce engine written in python
SMR (Simple Map Reduce) is a simple tool for writing map-reduce jobs in python
A set of map-reduce high-order functions to use with parallel or xargs
Map and reduce for batch-jobs in distributed computing.
A Python library for prototyping MapReduce jobs
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.
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