LL
SqueezeAILab/LLMCompiler
[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling
1.8k 129 +0/wk
GitHub
efficient-inference function-calling large-language-models llama llama2 llm llm-agent llm-agents llm-framework llms natural-language-processing nlp
Trend
3
Star & Fork Trend (46 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
SqueezeAILab/LLMCompiler has +0 stars this period . 7-day velocity: 0.2%.
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Signal-backed technical analysis will be available soon.
| Metric | LLMCompiler | MiniRAG | PRIME | RPG-DiffusionMaster |
|---|---|---|---|---|
| Stars | 1.8k | 1.8k | 1.8k | 1.8k |
| Forks | 129 | 240 | 109 | 102 |
| Weekly Growth | +0 | +0 | +1 | +0 |
| Language | Python | Python | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | MIT |
Capability Radar vs MiniRAG
LLMCompiler
MiniRAG
Maintenance Activity 0
Last code push 638 days ago.
Community Engagement 35
Fork-to-star ratio: 7.0%. 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.