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Text Summarization Python Packages

Python packages with the GitHub topic text-summarization. Sorted by relevance, with stars and monthly downloads.
Clarifai
clarifai

Experience the power of Clarifai’s AI platform with the python SDK. 🌟 Star to support our work!

152K 44 8
summanlp
summa

TextRank implementation for Python 3.

22K 1K 251
nlpcloud
nlpcloud

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and more...

14K 86 8
chakki-works
sumeval

Well tested & Multi-language evaluation framework for text summarization.

3K 626 58
twardoch
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
microsoft
autobrewml

With AutoBrewML Framework the time it takes to get production-ready ML models with great ease and efficiency highly accelerates.

2K 25 31
blmoistawinde
harvesttext

文本挖掘和预处理工具(文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等),无监督或弱监督方法

2K 3K 339
david-wb
bert-text-summarizer

A BERT-based text summarization tool

1K 5 2
shivang98
textsage

Secure text summarization with local LLMs, with support for Python, Pandas, and PySpark workflows.

346 0 0
alexandrevl
ssai

SuperSummarizeAI is a versatile Python tool designed to extract and summarize textual content. Whether it's from a provided webpage URL, a YouTube video link, or a PDF file, this tool processes the content through ChatGPT to generate an insightful summary.

313 13 3
ElmiraGhorbani
chatgpt-long-term-memory

The ChatGPT Long Term Memory package is a powerful tool designed to empower your projects with the ability to handle a large number of simultaneous users.

289 62 3
yongzhuo
macropodus

Macropodus: Tookit of Chinese Natural Language Processing

276 662 92
Frodigo
nitrodigest-cli

The privacy‑first, local‑LLM text‑summariser for developers.

231 6 1
franfj
text-summarizer

Text summarization Python library (in progress)

228 10 5
sayanmondal2098
easytoken

Tokenizer is an independent Open Source, Natural Language Processing python library which implements a tokenizer to create token from Both Sentence and Paragraph.

220 1 5
cordelia-io
centroid-summarizer

Extractive text summarization using centroid distance

214 1 1
chigwell
text-snippet-summarizer

A new package facilitates extracting a concise, structured summary from user-provided news headlines or brief texts by utilizing pattern matching and LLM interactions. This tool aims to help researche

172 1 0
chigwell
histextractor

A new package that extracts and structures key historical facts and insights from textual descriptions of historical events, such as the Lend-Lease program during World War II. The package takes a tex

172 1 0
chigwell
eventlytics-summarizer

A new package is designed to facilitate structured and reliable interactions with language models to generate concise summaries and extract key information from user-provided texts related to specific

151 1 0
MelinaNorton
journal-vetter

Python CLI & library for automated journal vetting — GPT‑4.1 summarization, YAML configuration, reproducible analysis.

143 1 0
Aayushpatel007
docprofiler

A Python package to generate document profiler or extract metadata from text in parallel using several Docker images

138 1 0
KrishnanSG
pynutshell

An unsupervised text summarization and information retrieval library under the hood using natural language processing models

137 15 1
chigwell
claim-summarizer

A new package that takes user-provided text (such as a blog post title or a short article snippet) and generates a structured summary highlighting key advantages or claims. It uses an LLM to analyze t

136 1 0
AdiChat
readless

:dash:Making communication📞easier and faster🚅for all 👦 + 👧 + 👴 + 👶 + 🐮 + 🐦 + 🐱

121 48 10
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