JabRef vs rcites
JabRef
jabref.orgrcites
docs.ropensci.orgSide by side
| Figure | JabRef | rcites |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | — |
| Plans published | 1 | 1 |
| Spec score · Citation Management Software | 8.8 (#1) | 7.2 (#22) |
| License | The JabRef software uses the MIT License, allowing commercial use, modification and redistribution with notices retained. | The package is released under the MIT license. |
| Purpose | JabRef is an open-source citation and reference manager for collecting and organizing research sources. | rcites is an R package for accessing information from the Species+ database through the Species+/CITES Checklist API. |
| Support | The project directs users to its documentation and community forum for help, with bug reports handled through GitHub. | The project documentation links to GitHub for bug reports. |
Plans
In their own words
JabRef
JabRef is a free, open-source citation and reference manager for collecting and organizing research sources. It works natively with BibTeX and BibLaTeX libraries stored as text, imports references from more than 15 formats, and extracts metadata from PDFs. Users can search scientific catalogs such as CrossRef, Google Scholar, PubMed, Springer, arXiv, and zbMATH. Library tools include hierarchical collections, keywords and tags, advanced search and filters, duplicate merging, and customizable citation keys. JabRef supports cite-as-you-write workflows with Word and LibreOffice/OpenOffice, and can send citation keys to editors including Emacs, LyX, TeXstudio, Vim, and WinEdt. Its browser extension collects bibliographic information from websites, though the documentation warns it is non-functional on Chrome. Teams can share a SQL database, and SSL connections are supported; SSL testing is documented only for PostgreSQL. Since version 6, users can summarize papers and chat with them through external AI providers, which process requests and linked PDFs. The project directs users to documentation and a community forum for help, with bug reports handled through GitHub.