[PR #2775] Add OneCite #2088

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GiteaMirror · 2025-11-06T13:29:13-06:00

GiteaMirror commented

2025-11-06 13:29:13 -06:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/2775
Author: @HzaCode
Created: 10/18/2025
Status: 🔄 Open

Base: master ← Head: add-onecite

📝 Commits (1)

365268d Add OneCite

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

What is this Python project?

OneCite is a universal citation and academic reference toolkit that automates bibliography management. It converts any reference input (DOI, arXiv ID, paper titles, URLs) into properly formatted citations.

Key Features:

🔍 Smart recognition from DOI, arXiv, PMID, ISBN, GitHub URLs, or plain text queries
📚 Multiple output formats: BibTeX, APA, MLA
🎯 4-stage high-accuracy pipeline: clean → query → validate → format
🌐 Integrates 9+ academic databases: CrossRef, Semantic Scholar, PubMed, arXiv, dblp, DataCite, Zenodo, OpenAlex, Google Books
🤖 Full Model Context Protocol (MCP) support for AI assistants (Claude, Cursor)
🎓 Handles 7+ citation types: journal articles, conference papers, books, software, datasets, theses, preprints
🎛️ Interactive mode for disambiguation
⚙️ YAML-based custom templates

What's the difference between this Python project and similar ones?

vs. Traditional citation managers (Zotero, Mendeley):

✅ CLI-first, automation-friendly (no GUI required)
✅ Batch processing from plain text files
✅ Designed for integration into workflows and scripts

vs. Other Python citation tools:

✅ Multi-source intelligence: Queries 9+ databases simultaneously, not just one
✅ Smart recognition: Handles incomplete/fuzzy inputs (e.g., "Attention paper Vaswani 2017")
✅ AI-native: First citation tool with native MCP support for AI assistants
✅ Universal identifiers: Accepts DOI, arXiv, PMID, ISBN, GitHub, Zenodo in one tool

Community recognition:

Featured in awesome-LaTeX
Available on PyPI with active maintenance
MIT licensed with comprehensive documentation

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/2775 **Author:** [@HzaCode](https://github.com/HzaCode) **Created:** 10/18/2025 **Status:** 🔄 Open **Base:** `master` ← **Head:** `add-onecite` --- ### 📝 Commits (1) - [`365268d`](https://github.com/vinta/awesome-python/commit/365268ddd3947a709638ccce137e9af11c49ffe3) Add OneCite ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ## What is this Python project? OneCite is a universal citation and academic reference toolkit that automates bibliography management. It converts any reference input (DOI, arXiv ID, paper titles, URLs) into properly formatted citations. **Key Features:** - 🔍 Smart recognition from DOI, arXiv, PMID, ISBN, GitHub URLs, or plain text queries - 📚 Multiple output formats: BibTeX, APA, MLA - 🎯 4-stage high-accuracy pipeline: clean → query → validate → format - 🌐 Integrates 9+ academic databases: CrossRef, Semantic Scholar, PubMed, arXiv, dblp, DataCite, Zenodo, OpenAlex, Google Books - 🤖 Full Model Context Protocol (MCP) support for AI assistants (Claude, Cursor) - 🎓 Handles 7+ citation types: journal articles, conference papers, books, software, datasets, theses, preprints - 🎛️ Interactive mode for disambiguation - ⚙️ YAML-based custom templates ## What's the difference between this Python project and similar ones? **vs. Traditional citation managers (Zotero, Mendeley):** - ✅ CLI-first, automation-friendly (no GUI required) - ✅ Batch processing from plain text files - ✅ Designed for integration into workflows and scripts **vs. Other Python citation tools:** - ✅ **Multi-source intelligence**: Queries 9+ databases simultaneously, not just one - ✅ **Smart recognition**: Handles incomplete/fuzzy inputs (e.g., "Attention paper Vaswani 2017") - ✅ **AI-native**: First citation tool with native MCP support for AI assistants - ✅ **Universal identifiers**: Accepts DOI, arXiv, PMID, ISBN, GitHub, Zenodo in one tool **Community recognition:** - Featured in [awesome-LaTeX](https://github.com/egeerardyn/awesome-LaTeX#bibliography-tools) - Available on PyPI with active maintenance - MIT licensed with comprehensive documentation --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2025-11-06 13:29:13 -06:00

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Reference: github-starred/awesome-python#2088