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An open-source academic paper management tool.


Paperlib

An open-source academic paper management tool.

Webpage | Download | Quick Start | Roadmap


📣 I'm looking for someone to work with me on developing Paperlib. 📣

If you are interested please contact me.

Introduction

I'm a computer science PhD student. Conference papers are in major in my research community, which is different from other subjects. Without DOI, ISBN, metadata of a lot of conference papers are hard to lookup (e.g., NIPS, ICLR etc.). When I cite a publication in a draft paper, I need to manually search the publication information of it in Google Scholar or DBLP.

Why not Zotero, Mendely?

A good metadata scraping capability is one of the core function of a paper management tool. Unfortunately, there is no software in this world that does this well, not even commercial software.

A modern UI. No extra useless features.

What we need may be: import a paper, scrape the metadata of it as accurately as possible, simply organise the library, and export it to BibTex when we are writing our own papers.

That is Paperlib.

Highlights

  • Scrape paper’s metadata and code repository from arXiv, doi.org, DBLP, openreview.net, IEEE, Google Scholar, and PaperwithCode etc. Especially tailored for computer science. Support write your own metadata scrapers.
  • Fulltext and advanced search.
  • Rating, flag, tag, folder and markdown/plain text note.
  • RSS feed subscription.
  • Locate PDF files from web.
  • Plugin like macOS spotlight to copy paste BibTex easily.
  • Cloud sync, supports macOS and Windows.
  • Beautiful and clean UI.

Download and Install

» Download Here «

Windows

You may notice that a warnning is shown when you install Paperlib on Windows. The reason is that there is no code signing in Paperlib because it is so expensive. The source code of Paperlib can be found in the electron branch. It won't hurt your PC and will never collect any personal information. When you are installing 'latest.exe', in the Windows protected your PC window, please click 'More info' and 'Run anyway'.

macOS

You may need to click the 'preference - Security & Privacy - run anyway'.

Quick Start

Introduction (EN)
Introduction (CN)

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Contribute to Paperlib

Metadata Scrapers

My research topic is computer vision, which is only one piece of puzzle of the computer science. If the builtin metadata scrapers are not suitable for your research, feel free to open an issue or pull request.

New Features

I'm open to any new feature request, we can discuss it in the issue.

License

GPL-3.0 License