Paper Firehose Being well read is a pillar of good science, but the volume of new papers makes it impossible to truly keep up to date. Paper-firehose is a way to filter the flood of new papers, so that it becomes a trickle, that one can go through in less than 5 minutes a day. It can check daily the RSS feeds of journals you are interested in and throw out results that are not relevant to your interests. The papers that remain get ranked by how relevant they are to keywords you specify. Our research group uses this to keep up to date with new papers that appear in our field.
| Stars | 5 |
| Forks | 1 |
| Language | Python |
| Category | AI 工具 |
| License | MIT |
| Quality Score | 38.75/100 |
| Last Updated | 2026-05-18 |
| Created | 2025-06-04 |
| Platforms | python |
| Est. Tokens | ~14025k |
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paper-firehose is A tool for tracking research papers: it applies regex filters to sift through arXiv and journal RSS feeds and delivers lists of relevant papers as well as LLM-generated summaries.. It is categorized as a AI 工具 with 5 GitHub stars.
paper-firehose is primarily written in Python. It covers topics such as ai, journal-article, papers.
You can find installation instructions and usage details in the paper-firehose GitHub repository at github.com/zrbyte/paper-firehose. The project has 5 stars and 1 forks, indicating an active community.
paper-firehose is released under the MIT license, making it free to use and modify according to the license terms.