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miso-belica/sumy

Module for automatic summarization of text documents and HTML pages. observed · 2026-08-28

github.com/miso-belica/sumy · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

89/100

  • Activity 97
  • Release rhythm 73
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 178
  • age_days: 4942
  • days_rel: 21
  • days_push: 19
  • n_releases_24m: 2

Full methodology

Adoption not part of the score

3701 stars · 539 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Sumy is a Python library and command-line utility for automatic extractive summarization of plain text documents and HTML pages. It implements multiple summarization algorithms (LexRank, LSA, TextRank, Luhn, Edmundson) with multilingual tokenizer support and a simple evaluation framework.

Use cases

  • summarize long articles into key sentences
  • extract summaries from HTML web pages
  • summarize text in multiple languages
  • evaluate summarization quality against reference summaries
  • add extractive summarization to a Python application
  • quickly condense a Wikipedia page from the command line

When to choose

  • you need lightweight extractive summarization without GPU or deep learning models
  • you want a CLI tool for quick one-off summarization of URLs or text files
  • you need support for many natural languages including Czech/Slovak
  • you want a simple, dependency-light Python API for summarization

When to avoid

  • you need abstractive summaries that rewrite text in new sentences
  • you need state-of-the-art neural summarization quality
  • you need to summarize very long documents beyond its design scope

Facets

library · maturity active

nlp parser cli developer-tools python cli cross-platform text-summarization extractive-summarization textrank lexrank lsa html-extraction natural-language-processing

3 sources

Member repositories

RepositoryRoleHealth v2
miso-belica/sumymain89

For agents

markdown · JSON · MCP: product_card(name="miso-belica/sumy")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem