AL
CryptoAILab/Awesome-LM-SSP
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
1.9k 131 +0/wk
GitHub
adversarial-attacks awesome-list diffusion-models jailbreak language-model llm nlp privacy safety security vlm
Trend
3
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
CryptoAILab/Awesome-LM-SSP has +0 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | Awesome-LM-SSP | amazon-q-developer-cli | notte | typed-japanese |
|---|---|---|---|---|
| Stars | 1.9k | 1.9k | 1.9k | 1.9k |
| Forks | 131 | 426 | 173 | 21 |
| Weekly Growth | +0 | +3 | +0 | -1 |
| Language | N/A | Rust | Python | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | NOASSERTION | MIT |
Capability Radar vs amazon-q-developer-cli
Awesome-LM-SSP
amazon-q-developer-cli
Maintenance Activity 100
Last code push 7 days ago.
Community Engagement 34
Fork-to-star ratio: 6.8%. 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 Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.