Summarization Python Packages

haystack-ai

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

rouge-metric

A Python wrapper of the official ROUGE-1.5.5.pl script and a re-implementation of full ROUGE metrics.

sumy

Module for automatic summarization of text documents and HTML pages.

pytextrank

Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

rouge-chinese

Python ROUGE Score Implementation for Chinese Language Task (official rouge score)

farm-haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

cdklabs-generative-ai-cdk-constructs

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

adalflow

AdalFlow: The library to build & auto-optimize LLM applications.

summa

TextRank implementation for Python 3.

pyrouge

A Python wrapper for the ROUGE summarization evaluation package

lightrag

AdalFlow: The library to build & auto-optimize LLM applications.

oneai

Python SDK for One AI APIs. One AI is an NLP-as-a-service platform. Our APIs enables language comprehension in context, transforming texts from any source into structured data to use in code.

lossless-hermes-py

Lossless Context Management (LCM) for Hermes Agent — DAG-based conversation summarization that never forgets

anynlp

One-liner NLP utilities -- summarize, classify, extract entities, analyze sentiment -- with rule-based fallbacks and HuggingFace backends.

split-markdown4gpt

A Python tool for splitting large Markdown files into smaller sections based on a specified token limit. This is particularly useful for processing large Markdown files with GPT models, as it allows the models to handle the data in manageable chunks.

precis-summary

Fast extractive summarization via RAKE keyword extraction

lexrank

LexRank algorithm for text summarization

pycrowlingo

Python SDK to use Crowlingo APIs

uglypy

A Python package for aggregating and processing RSS feeds with LLM-enhanced content rewriting.

pybibx

A Bibliometric and Scientometric Library Powered with Artificial Intelligence Tools

rapid-textrank

⚡ High-performance TextRank in Rust with Python bindings. Extract keywords 10-100x faster than pure Python. Supports TextRank, PositionRank & BiasedTextRank with 18 languages.

bunkatopics

Bunkatopics is a Topic Modeling package and Exploration Module

git-history-extraction

Extract and analyze git commit history with support for filtering by trailers, date ranges, and AI-powered summarization for changelogs

ctc-score

CTC: A Unified Framework for Evaluating Natural Language Generation