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standardized-output

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chigwell / relnote-extractor

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Relnote-extractor parses raw update texts, extracting version, date, features, fixes, and formats into a clean, concise summary.

text-extraction text-processing release-notes developers quick-access software-updates new-features end-users bug-fixes release-dates standardized-output concise-information text-structuring version-numbers update-summaries well-organized-data it-professionals key-details-identification formatted-summaries
  • Updated Dec 22, 2025
  • Python

chigwell / av-safety-parser

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av-safety-parser extracts aviation incident details from unstructured text, outputting standardized data on incident type, aircraft, and risks.

text-extraction structured-data data-processing news-articles emerging-threats unstructured-data airlines incident-analysis aviation-safety safety-information standardized-output key-details faa-warnings nature-of-incident affected-aircraft potential-safety-risks aviation-authorities safety-analysts timely-response effective-safety-measures
  • Updated Dec 21, 2025
  • Python

chigwell / textcurator-llm-py

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A new package would process user-provided text inputs, such as headlines or short descriptions, and generate structured summaries or categorizations using an LLM. It would be particularly useful for c

databases text-processing newsletters categorization news-aggregation content-curation key-information-extraction llm-integration alert-systems consistent-formatting structured-summaries event-highlighting automated-content-processing standardized-output predefined-structure
  • Updated Dec 21, 2025
  • Python

chigwell / partnershipparser

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partnershipparser extracts and structures key info from tech partnership news for easy analysis of companies, focus areas, and impacts

goals consistency text-extraction data-analysis trends data-integration structured-data investors business-analysts researchers strategic-alliances tech-industry market-opportunities strategic-partnerships standardized-output technology-sector collaborating-companies focus-area potential-impact competitive-advantages
  • Updated Dec 21, 2025
  • Python

abdallahghddab / textcurator-llm-py

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📝 Process texts with ease, generating structured summaries and categorizations using language models for effective content curation and news aggregation.

text-processing newsletters categorization news-aggregation content-curation key-information-extraction llm-integration alert-systems consistent-formatting structured-summaries event-highlighting automated-content-processing standardized-output predefined-structure
  • Updated Jan 10, 2026
  • Python

cesarsilva14 / relnote-extractor

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🔍 Extract release notes from software updates and structure them for easy readability and access.

text-extraction text-processing release-notes developers quick-access software-updates new-features end-users bug-fixes release-dates standardized-output concise-information text-structuring version-numbers update-summaries well-organized-data it-professionals key-details-identification formatted-summaries
  • Updated Jan 10, 2026
  • Python

bahooo13 / partnershipparser

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📊 Extract and structure key details from tech partnership announcements to analyze industry trends efficiently with PartnershipParser.

goals consistency text-extraction data-analysis trends data-integration structured-data investors business-analysts researchers strategic-alliances tech-industry market-opportunities strategic-partnerships standardized-output technology-sector collaborating-companies focus-area potential-impact competitive-advantages
  • Updated Jan 10, 2026
  • Python

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