ST
stanford-oval/storm
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
28.1k 2.6k +0/wk
GitHub HuggingFace PyPI 3-source
agentic-rag deep-research emnlp2024 knowledge-curation large-language-models naacl nlp report-generation retrieval-augmented-generation
Trend
3
Star & Fork Trend (47 data points)
Stars
Forks
Multi-Source Signals
GitHub
stars 28.1k
forks 2.6k
PyPI
package storm
version 1.1
weekly Downloads 0
HuggingFace
models 8
downloads 3.6k
spaces 0
Growth Velocity
stanford-oval/storm has +0 stars this period , with cross-source activity across 3 platforms (github, huggingface, pypi). 7-day velocity: 0.0%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | storm | 500-AI-Agents-Projects | fastai | xgboost |
|---|---|---|---|---|
| Stars | 28.1k | 28.1k | 28.0k | 28.2k |
| Forks | 2.6k | 4.9k | 7.7k | 8.9k |
| Weekly Growth | +0 | +48 | -2 | +5 |
| Language | Python | N/A | Jupyter Notebook | C++ |
| Sources | 3 | 2 | 3 | 2 |
| License | MIT | MIT | Apache-2.0 | Apache-2.0 |
Capability Radar vs 500-AI-Agents-Projects
storm
500-AI-Agents-Projects
Maintenance Activity 0
Last code push 190 days ago.
Community Engagement 46
Fork-to-star ratio: 9.1%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.