Auromix/ROS-LLM
ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language interactions and leverages Large Language Models (LLMs) for decision-making and robot control. With an easy configuration process, this framework allows for swift integration, enabling your robot to operate with it in as little as ten minutes.
Star & Fork Trend (32 data points)
Multi-Source Signals
Growth Velocity
Auromix/ROS-LLM has +2 stars this period . 7-day velocity: 0.4%.
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| Metric | ROS-LLM | RAG-FiT | llm-books | SpecForge |
|---|---|---|---|---|
| Stars | 768 | 769 | 766 | 765 |
| Forks | 94 | 62 | 51 | 200 |
| Weekly Growth | +2 | +0 | +0 | +3 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | N/A | MIT |
Capability Radar vs RAG-FiT
Last code push 1004 days ago.
Fork-to-star ratio: 12.2%. Active community forking and contributing.
Issue data not yet available.
+2 stars this period — 0.26% growth rate.
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.