ScholarXIV  by dagmawibabi

Open-source app for searching, reading, and summarizing arXiv papers

Created 1 year ago
907 stars

Top 40.1% on SourcePulse

GitHubView on GitHub
Project Summary

ScholArxiv is an AI-powered desktop application designed for researchers and students to interact with academic papers from the arXiv repository. It offers a streamlined workflow for searching, reading, bookmarking, downloading, and summarizing papers, with an integrated AI chat feature for deeper comprehension.

How It Works

The application provides a user-friendly interface for accessing arXiv papers. Key features include a robust search functionality, in-app paper reading, bookmark management, and the ability to download papers. A notable feature is the AI chat integration, which allows users to query and discuss paper content, leveraging a user-configured Gemini API key for enhanced understanding.

Quick Start & Requirements

  • Install: Download the latest version from the releases page.
  • Prerequisites: Gemini API key is required for AI chat functionality.
  • Resources: No specific hardware requirements are listed, but AI features may benefit from more powerful hardware.
  • Links: Releases

Highlighted Details

  • AI Chat for paper summarization and deeper understanding.
  • Search by keywords, titles, authors, and abstracts; suggests popular papers if no query is given.
  • Includes bookmarking, downloading, and sharing capabilities.
  • Offers three themes: Light, Dark, and Mixed mode.

Maintenance & Community

The project is maintained by dagmawibabi. Support and community engagement can be found via provided LinkedIn, Twitter, and Gmail links. The project has been featured in "How To Men's Best Android Apps" and InsTech's magazine and YouTube channel.

Licensing & Compatibility

  • License: GNU General Public License (GPL).
  • Restrictions: Requires any distributed pre-releases to also be open source.

Limitations & Caveats

The application is described as a desktop app, implying it may not be cross-platform or web-based. The reliance on a user-provided Gemini API key means AI features are dependent on external service availability and cost.

Health Check
Last Commit

2 months ago

Responsiveness

1 week

Pull Requests (30d)
0
Issues (30d)
0
Star History
7 stars in the last 30 days

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