SA
tatsu-lab/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
30.3k 4k -4/wk
GitHub HuggingFace 2-source
deep-learning instruction-following language-model
Trend
0
Star & Fork Trend (23 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
tatsu-lab/stanford_alpaca has -4 stars this period , with cross-source activity across 2 platforms (github, huggingface). 7-day velocity: -0.0%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | stanford_alpaca | qdrant | AI-Expert-Roadmap | pytorch-lightning |
|---|---|---|---|---|
| Stars | 30.3k | 30.2k | 30.9k | 31.0k |
| Forks | 4k | 2.2k | 2.6k | 3.7k |
| Weekly Growth | -4 | +42 | +3 | +8 |
| Language | Python | Rust | JavaScript | Python |
| Sources | 2 | 1 | 1 | 2 |
| License | Apache-2.0 | Apache-2.0 | MIT | Apache-2.0 |
Capability Radar vs qdrant
stanford_alpaca
qdrant
Maintenance Activity 0
Last code push 630 days ago.
Community Engagement 66
Fork-to-star ratio: 13.2%. Active community forking and contributing.
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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.