clips/pattern

Health v2 · maintenance only

Adoption not part of the score

8860 stars · 1556 forks observed · 2026-08-28

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

Pattern is a Python web mining module bundling tools for scraping (Google, Twitter, Wikipedia APIs, crawler, HTML DOM parser), NLP (POS tagging, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, clustering, KNN/SVM/Perceptron), and network analysis with canvas visualization. The repository is now archived and no longer maintained.

Use cases

• scrape tweets and web pages for text mining
• run sentiment analysis on social media text
• part-of-speech tag and parse English text
• train classifiers like KNN or SVM on text vectors
• analyze and visualize network graphs
• search WordNet for word relationships

When to choose

• you need an all-in-one classic NLP + scraping toolkit for Python 2.7/3.6
• you want a simple, well-documented library for teaching or prototyping text mining
• you need bundled sentiment analysis and WordNet access without heavy dependencies

When to avoid

• you need maintained software with security patches and bug fixes
• you target modern Python versions (3.7+)
• you need production-grade NLP - prefer spaCy, NLTK, or scikit-learn
• you rely on live Google/Twitter APIs that have since changed

Facets

library · maturity abandoned

web-scraping nlp machine-learning parser data-visualization machine-learning data-science web-development crawlers python cross-platform web-mining wordnet part-of-speech-tagging text-analysis network-analysis archived sentiment-analysis natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="clips/pattern")