OP
thunlp/OpenAttack
An Open-Source Package for Textual Adversarial Attack.
772 127 +0/wk
GitHub
adversarial-attacks adversarial-example natural-language-processing nlp pytorch
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
thunlp/OpenAttack 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 | OpenAttack | lexpredict-lexnlp | AI-Notes | awesome-persian-nlp-ir |
|---|---|---|---|---|
| Stars | 772 | 772 | 774 | 770 |
| Forks | 127 | 200 | 241 | 117 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | Jupyter Notebook | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | AGPL-3.0 | NOASSERTION | N/A |
Capability Radar vs lexpredict-lexnlp
OpenAttack
lexpredict-lexnlp
Maintenance Activity 0
Last code push 993 days ago.
Community Engagement 82
Fork-to-star ratio: 16.5%. 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.