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..
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.
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
Big data data processing for tar archives.
Lightweight chaining functional methods for iterables
A Python library for prototyping MapReduce jobs
Easy parallel map-reduce command line tool
Map-Reduce parallelism over FIFOs (named pipes)
Data processing toolkit radically changing the way data is processed
Java Stream implementation for Python
Add .map, .filter and .reduce as list methods
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.
r3 is a map-reduce engine written in python
SMR (Simple Map Reduce) is a simple tool for writing map-reduce jobs in python
An improvement on Python's map, filter and reduce.
Map and reduce for batch-jobs in distributed computing.
an anti-pythonic map reduce utility
Hadoop and Hive Python Thrift Libs
Pythonic in-memory MapReduce.
Pure Python implementation of Map-Reduce over AMQP
Python library for creating map-reduce workflows on AWS Lambda.
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.
Parallel computing framework
A universal reader and writer for stateful data file processing
Airflow plugin that captures, parses, and visualizes Hive log files
Utilities for running functions in parallel
Run tile-reduce map jobs in Python
java stream style(high order, map reduce and method chaining) library for simplify the multiple map and filter operations
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.
Extract data from common crawl using elastic map reduce
Pymar addition to easily scale your operations with MongoDB collections.
1d/2d data container with map-reduce transformers