SE
jackaduma/SecBERT
pretrained BERT model for cyber security text, learned CyberSecurity Knowledge
208 35 +0/wk
GitHub
apt attention bert bert-embeddings cyber-security cyber-threat-intelligence cybersecurity deep-learning-security deeplearning machine-learning-security nlp nlp-machine-learning
Trend
0
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
jackaduma/SecBERT has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | SecBERT | aitlas | viridithas | mcp-local-rag |
|---|---|---|---|---|
| Stars | 208 | 208 | 208 | 209 |
| Forks | 35 | 40 | 15 | 37 |
| Weekly Growth | +0 | -1 | +0 | +0 |
| Language | Python | Python | Rust | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | MIT | MIT |
Capability Radar vs aitlas
SecBERT
aitlas
Maintenance Activity 0
Last code push 1076 days ago.
Community Engagement 84
Fork-to-star ratio: 16.8%. 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 MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.