TE
QData/TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
3.4k 441 +1/wk
GitHub
adversarial-attacks adversarial-examples adversarial-machine-learning data-augmentation machine-learning natural-language-processing nlp security
Trend
3
Star & Fork Trend (24 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
QData/TextAttack has +1 stars this period . 7-day velocity: 0.0%.
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Signal-backed technical analysis will be available soon.
| Metric | TextAttack | vault-ai | AgentGuide | hands-on-llms |
|---|---|---|---|---|
| Stars | 3.4k | 3.4k | 3.4k | 3.4k |
| Forks | 441 | 300 | 331 | 550 |
| Weekly Growth | +1 | +0 | +51 | -1 |
| Language | Python | JavaScript | HTML | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | N/A | MIT |
Capability Radar vs vault-ai
TextAttack
vault-ai
Maintenance Activity 0
Last code push 272 days ago.
Community Engagement 65
Fork-to-star ratio: 13.0%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 42
+1 stars this period — 0.03% growth rate.
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.