JARR
Web-based RSS/Atom news aggregator with TF-IDF clustering

JARR is a web-based news aggregator and reader for RSS and Atom feeds. It provides a browser-based reading interface and a programmatic API, and includes article clustering based on TF‑IDF to group related items.
Key Features
- Aggregates RSS and Atom feeds and displays articles in a web reader
- Article clustering using TF‑IDF (can cluster by link or by content)
- Browser-based UI with JavaScript front-end and server-side rendering templates
- Exposes a RESTful API for feed access and integration
- Search/indexing and full-text analysis used for clustering and discovery
- Configurable feed management for subscribing and organizing sources
Use Cases
- Personal or team news monitoring from multiple RSS/Atom sources
- Research and topic tracking by grouping similar articles automatically
- Embedding or integrating feed data into other tools via the API
Limitations and Considerations
- Project is under active development; features and APIs may change
- TF‑IDF clustering can be resource-intensive for large feed sets and may require tuning
- No single guaranteed production database or deployment configuration is mandated by the project; operators must choose and configure storage and hosting appropriately
JARR is a focused RSS/Atom aggregator that emphasizes automated article clustering and a lightweight web reading experience. It is suitable for users who want a self-hosted feed reader with content grouping and an API for integrations.
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JavaScript
Python
Python runtime