DataArcTech/ToG-3
Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval
Star & Fork Trend (16 data points)
Multi-Source Signals
Growth Velocity
DataArcTech/ToG-3 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 | ToG-3 | Tiktoken | benchmark-qed | boss-skill |
|---|---|---|---|---|
| Stars | 86 | 86 | 86 | 86 |
| Forks | 13 | 7 | 13 | 18 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | C# | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | MIT |
Capability Radar vs Tiktoken
Last code push 12 days ago.
Fork-to-star ratio: 15.1%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.
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