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TonicAI/tonic_validate
Metrics to evaluate the quality of responses of your Retrieval Augmented Generation (RAG) applications.
325 31 +0/wk
GitHub
evaluation-framework evaluation-metrics large-language-models llm llmops llms rag retrieval-augmented-generation
Trend
0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
TonicAI/tonic_validate 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 | tonic_validate | SwiftSage | Tree-GRPO | llama-github |
|---|---|---|---|---|
| Stars | 325 | 325 | 325 | 323 |
| Forks | 31 | 30 | 27 | 22 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | N/A | Apache-2.0 | Apache-2.0 |
Capability Radar vs SwiftSage
tonic_validate
SwiftSage
Maintenance Activity 0
Last code push 273 days ago.
Community Engagement 48
Fork-to-star ratio: 9.5%. 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 MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.