Run unmodified Python code at massive scale on any cloud, with no servers to manage
Simple, elegant, Pythonic functional programming.
Transform directed acyclic graphs using map-reduce and groupby operations
Simple, elegant, Pythonic functional programming.
Local context engine for AI coding agents that ranks relevant repo files and builds compact task-focused context packs for Claude Code, Codex, Cursor, Windsurf, MCP, and CI workflows.
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.
Text Lemmatizer reduces inflected words in submitted text down to their dictionary base forms. It confirms when valid lemmas exist, while paid plans return full word-by-word mappings.
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 Python library for prototyping MapReduce jobs
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..
Map-reduce spreadsheet operations powered by LLM prompts
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.
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..
Lightweight chaining functional methods for iterables
Context Engineering CLI — Reduce AI agent token waste with compressed codebase skeletons, task-focused instructions, session checkpoints, and AGENTOWNERS governance policy generation. Zero AI, pure parsing.
YTsaurus pipeline framework with utilities and common modules
Add .map, .filter and .reduce as list methods
pandasv2: pandas drop-in replacement with memory optimization, nested JSON handling, parallel groupby, chunked processing, fast apply, unified apply/map API, safe merge validation, dtype optimization, DataFrame profiling, append compatibility for pandas 3.0, JSON serialization, diff tracking, column validation, streaming export, and seamless FastAPI/Flask/Django integration. Import as pandasv2
Multi-layer token optimization for LLM applications — compress prompts, map codebases, reduce output
Parallel computing framework
package for map a list
Typed async nested map/reduce orchestration for OpenAI, LangChain, LangGraph, and CrewAI
Extract data from common crawl using elastic map reduce
Parallel extraction of zipped option-chain archives into a queryable SQLite store.
Data processing toolkit radically changing the way data is processed
java stream style(high order, map reduce and method chaining) library for simplify the multiple map and filter operations
A universal reader and writer for stateful data file processing
1d/2d data container with map-reduce transformers
r3 is a map-reduce engine written in python
Calibrated anomaly detection and probabilistic hyperdimensional computing in JAX. Conformal classifier, regressor, and one-class anomaly detector with finite-sample coverage; closed-form Gaussian and Dirichlet hypervectors; pytree-native end-to-end.
A collection of basic list functions which can be run in parallel mode (both sync or async).
A threaded version of map reduce
An improvement on Python's map, filter and reduce.
Pure Python implementation of Map-Reduce over AMQP
Easy parallel map-reduce command line tool
Hadoop and Hive Python Thrift Libs
Autoscaling Elastic Map Reduce (EMR) clusters and Kinesis streams on Amazon Web Services.
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
A library for incremental, in-memory map-reduces
an anti-pythonic map reduce utility
Big data data processing for tar archives.
Map-Reduce parallelism over FIFOs (named pipes)
A simple map reduce multithreaded library
Pymar addition to easily scale your operations with MongoDB collections.