Search, collect, read and analyse scientific papers.

Category Utilities
Keywords science learning research dat data p2p reader open source search
License MIT
Downloads latest-mac.json latest-mac.yml latest.yml scienceFair-1.0.6.dmg ScienceFair-linux-amd64-1.0.6.deb ScienceFair-linux-x86_64-1.0.6.rpm sciencefair-setup-1.0.6.exe
Latest Release v1.0.6 (v1.0.6)
Release Notes

Bug fixes

  • #117 #115 Worked around issues in dependencies that prevented the initial sync from working for some people, and fixed issues with underlying database causing high CPU during sync
  • #108 Fix a bug that caused a lot of error messages
  • 78a7114 Fixed a bug where sometimes the UI wouldn't update after download
  • fae9bb5 Fixed bugs with managing datasources in preparation for new sources to be released this week
  • efdeafc Fixed a race condition where downloading papers would not update the 'saved' count
  • 380b4b2 Improve interface speed in some situations
  • 815134d Prevent unnecessary re-renders during sync


  • #98 Shiny new macOS installer look (thanks @alvesjtiago)
  • 3c83cc0 Added menus and ability to copy/paste
  • #90 data is now stored in user documents directory (thanks @bcomnes)

Known issues

  • Slow initial sync on some machines, or completely stalled sync at 0%, caused by network restrictions. Fix coming this week. (note, most users who experienced stalled syncing were affected by a different issue that should be solved in this release).

The open source p2p desktop science library that puts users in control.

API stability Latest release MIT license

We've released 🎈 v1.0 🎈! But we're just getting started. Check out the roadmap to see where we're headed.

Why ScienceFair?

How we access, read and reuse scientific literature is largely controlled by a few vast publishing organisations. Many wonderful innovations are being explored outside those organisations, but they are rarely integrated into the platforms where people actually access science.

We have a vision of a different, better, future for science. A future that's more fair, inclusive and open. A future where people can explore and innovate and where users control and customise their experience.

ScienceFair aims to help pave the road to that future. The main thing that sets it apart? Freedom from centralised control.

We're creating a desktop experience for discovering, tracking, collecting and reading scientific articles that:

  • is completely free from external control (e.g. by publishers or platforms)
  • helps decentralise the distribution and storage of the scholarly literature
  • allows the user to customise their experience
  • promotes and integrates open data and metadata
  • helps grow an ecosystem of open source tools around scientific literature



You can download installers or bundled apps for Windows, Mac and Linux from the releases page.

If you find a bug, please report it in the issue tracker.

technical details

Some of the things that ScienceFair does differently:

A reading experience optimised for Science

We use the beautiful Lens reader to render JATS XML to a reading experience optimised for scientific papers.


Instant multi-source search

Instant search of your local collection and remote datasources, only downloading the data requested.


Secure, flexible, distributed datasources

A ScienceFair datasource can be a journal, a curated community collection, a personal reading list... anything you like.

v1.0 comes with the eLife journal by default, and more will follow very soon.

Datasources are append-only feeds of JATS XML articles, signed with public-key encryption and distributed peer-to-peer (using dat). This means:

  • downloads come from the nearest, fastest sources
  • it doesn't matter if the original source goes offline
  • only the original creator can add new content
  • anyone can create a datasource (tools to make this easy coming soon)
  • your local collection of articles is ready for data mining

And importantly, datasources you create are private unless you decide to share them, and nobody can ever take a datasource offline.

Built-in bibliometrics and analytics

Basic bibliometrics are built-in in v1.0.

Full analysis and data-mining tools, alt-metrics and enriched annotation will be coming soon.


ScienceFair also follows a few simple design principles that we feel are missing from the ecosystem:

  • we keep the interface minimal and clear
  • incremental discovery is the way
  • be beautiful

home screen


This project uses node v7, ideally the latest version. It also uses the two-package.json structure (what??).

To get a local copy working, clone this repo, then run

  • npm install to install dev dependencies
  • cd app && npm install to install regular dependencies
  • cd .. && npm run dev to start in development mode


  • v1.0 proof of concept:
    • incorporate major new technologies (dat/hyperdrive, lens reader, instant search)
    • core user experience and design
    • development, packaging and distribution architecture in place
    • 1.0.x releases will be bug fixes and non-breaking improvements
  • v1.1 focus on datasources:
    • more, and bigger, datasources available by default
    • tools for creating and managing datasources
    • interface for creating and securely sharing p2p collections within the app
    • a platform and interface for discovering and managing datasources
  • v1.2 focus on enrichment:
    • altmetrics, updates (e.g. retractions), etc. displayed in context in realtime
    • advanced bibliometrics and data-mining tools
    • annotation and commenting, within the app and drawn from existing sources
  • v2.0 focus on user customisation:
    • a package system, allowing customising and extending key aspects of the experience
    • tools and documentation for making new packages
    • a platform and interface for discovering and managing packages

Something missing? Edit this app.