A new package designed to facilitate structured and reliable analysis of user input related to software refactoring in the context of LLM capabilities. It accepts a user's discussion or question about

pattern-matching software-refactoring knowledge-extraction theme-extraction structured-analysis insights-generation automated-decision-making llm-capabilities user-input-processing pattern-validation text-based-input structured-summaries reliable-analysis concern-extraction strategy-extraction automatic-categorization free-form-discussion-analysis consistent-interpretation

• Updated Dec 21, 2025
• Python

Organize bookmarks and browsing history with automated tagging and categorization.

information-retrieval keyword-extraction personal-knowledge-base metadata-extraction digital-asset-management search-optimization user-friendly-interface content-summarization browsing-history-management semantic-tagging automatic-categorization bookmark-organization nlp-based-tag-generation filtering-tools rediscovery-engine machine-learning-tagging subject-classification web-scrape-integration automatic-structuring intelligent-indexing

• Updated Dec 22, 2025
• Python

🔍 Analyze unstructured bookmark titles and descriptions into structured tags and summaries effortlessly with the lightweight Python package, bookmark-analyzer.

chrome-extension java rust gpx information-retrieval browser web-scraping personal-knowledge-base metadata-extraction java-fx search-optimization media-info semantic-tagging bookmark-analyzer automatic-categorization bookmark-organization rediscovery-engine machine-learning-tagging subject-classification intelligent-indexing

• Updated Feb 21, 2026
• Python