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caojiaolongA continuously updated index of scientific articles
Top 93.7% on SourcePulse
Summary
This project addresses the challenge of maintaining an up-to-date index of high-quality articles from the "科学空间" (Science Space) blog. It automatically scrapes article metadata, categorizes it by research topic, and organizes articles into series, providing a browsable index on GitHub. This benefits researchers and enthusiasts by offering a reliable, continuously updated resource without the maintenance burden of manual lists.
How It Works
The system employs Python scripts to fetch article metadata (title, date, URL, original category, tags) from the "科学空间" website. It then applies rule-based classification to group articles by research themes and identify series. GitHub Actions are used to automate the scraping and updating process. The output is a Markdown-formatted README and documentation pages, linking directly to the original articles, thus avoiding content duplication.
Quick Start & Requirements
uv sync followed by uv run python scripts/update_all.py.--refresh-summaries can be used for older articles.Highlighted Details
Maintenance & Community
The repository is maintained by caojiaolong. The project encourages community support through GitHub Stars to ensure continued updates. No explicit community channels like Discord or Slack are mentioned.
Licensing & Compatibility
The provided README does not specify a software license. This absence is a critical factor for potential adopters, especially for commercial use or integration into proprietary systems.
Limitations & Caveats
The primary limitation is the lack of a declared license, creating ambiguity for usage. The project's functionality is dependent on the continued stability and structure of the "科学空间" website, making it susceptible to breakage if the source site changes.
2 days ago
Inactive
Future-House