DailyArXiv automatically fetches the latest papers from arXiv based on user-defined keywords, retaining only the most recent articles (up to 100 per keyword). It aims to keep researchers and power users informed about the latest advancements in their fields, saving them time by curating relevant research.

How It Works

The project scrapes arXiv for papers matching specified keywords. It then filters and stores the most recent articles, making them easily accessible. Users can opt-in for daily email notifications to stay updated on new publications.

Quick Start & Requirements

• Install: pip install -r requirements.txt
• Run: python daily_arxiv.py
• Prerequisites: Python 3.x

Highlighted Details

• Fetches papers based on keywords.
• Retains up to 100 most recent articles per keyword.
• Provides daily email notifications.

Maintenance & Community

• Last update: 2025-05-01.
• Project is hosted on GitHub.

Licensing & Compatibility

• License: Not specified in README.

Limitations & Caveats

• The README does not specify the license, which could impact commercial use or redistribution.