Open Source TypeScript Text Processing Software

NAVAL-QDA is a desktop application for qualitative data analysis (QDA). Import interview transcripts, documents, and media; code them against a hierarchical node tree; classify sources by case and attribute; write analytic memos; run text and coding queries; visualize patterns; and generate reports — all from a local Electron + React app. Key features: import .txt/.docx/.pdf plus audio/video for transcription; hierarchical coding with merge/move and percent-coded tracking; cases, attributes, and a classification sheet; memos linked to sources, cases, or nodes; text search, word frequency, coding, matrix coding, and coding-comparison queries; word cloud, hierarchy treemap, and similarity-cluster visualizations; coding reports and project summaries; and optional, opt-in AI-assisted summaries/code suggestions. Local-first: project data lives in a local SQLite database — nothing leaves your machine unless you enable the AI provider. Status: early/pre-release (v0.1.0).

CleanTextTools Core is the open-source edition of CleanTextTools, a browser-based utility for cleaning text generated by ChatGPT, Claude, Gemini and other AI assistants. The Core edition helps users remove common formatting artifacts while preserving the original wording and meaning of their content. Core features include: * Remove common markdown formatting * Fix inconsistent spacing and line breaks * Remove hidden Unicode characters * Remove emojis * Copy cleaned text * Process text directly in the browser * Run locally without creating an account CleanTextTools Core is intended for developers, writers, students, marketers and professionals who need clean, paste-ready text for documents, emails, websites and productivity platforms. This SourceForge project contains the limited open-source Core edition. The complete hosted product, including additional cleaning options and platform-specific tools, is available at CleanTextTools.com.

Scholar Sidekick CLI is a command-line client for resolving scholarly identifiers and producing clean bibliographic output, straight from your terminal. Give it any supported identifier - DOI, PMID, PMCID, ISBN, arXiv ID, ISSN, NASA ADS bibcode, or WHO IRIS URL - and: - Format citations in 10,000+ CSL styles (Vancouver, APA, AMA, IEEE, CSE, and any CSL style ID) - Export bibliographies to BibTeX, RIS, CSL JSON, EndNote, RefWorks, MEDLINE, Zotero RDF, CSV, or plain text - Check retraction status (retractions, corrections, expressions of concern; Crossref / Retraction Watch) - Check open access status and the best legal copy (Unpaywall) - Verify that a claimed citation actually matches the paper at its identifier — catching the AI-driven "real DOI + invented title" fabrication pattern No API key is required for the free, rate-limited tier - npm install -g scholar-sidekick-cli (or npx) and go. Add a key to raise limits. Requires Node.js >= 20. MIT licensed; source on GitHub.