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.

763K 25K 3K

rouge-metric

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

194K 21 0

sumy

Module for automatic summarization of text documents and HTML pages.

151K 4K 546

pytextrank

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

94K 2K 334

rouge-chinese

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

71K 113 4

farm-haystack

67K 25K 3K

cdklabs-generative-ai-cdk-constructs

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

40K 534 75

adalflow

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

22K 4K 370

summa

TextRank implementation for Python 3.

18K 1K 252

pyrouge

A Python wrapper for the ROUGE summarization evaluation package

12K 249 72

lightrag

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

5K 4K 370

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.

4K 38 7

lossless-hermes-py

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

2K 0 1

anynlp

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

2K 0 0

precis-summary

Fast extractive summarization via RAKE keyword extraction

2K 0 0

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.

2K 29 3