TR
HowieHwong/TrustLLM
[ICML 2024] TrustLLM: Trustworthiness in Large Language Models
623 67 +0/wk
GitHub
ai benchmark dataset evaluation large-language-models llm natural-language-processing nlp pypi-package toolkit trustworthy-ai trustworthy-machine-learning
Trend
3
Star & Fork Trend (28 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
HowieHwong/TrustLLM has +0 stars this period . 7-day velocity: 0.2%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | TrustLLM | MCP-Nest | llama-cpp-agent | VLM2Vec |
|---|---|---|---|---|
| Stars | 623 | 623 | 623 | 622 |
| Forks | 67 | 104 | 70 | 59 |
| Weekly Growth | +0 | +2 | -3 | +0 |
| Language | Python | TypeScript | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | NOASSERTION | Apache-2.0 |
Capability Radar vs MCP-Nest
TrustLLM
MCP-Nest
Maintenance Activity 0
Last code push 288 days ago.
Community Engagement 54
Fork-to-star ratio: 10.8%. 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.