caveman vs ray
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| caveman | ray | |
|---|---|---|
| Tagline | Cuts 65% of tokens in AI coding agent responses. | Unified framework for scaling AI and Python applications |
| Stars | 86k | 43k |
| Forks | 4.8k | 7.8k |
| Open issues | 370 | 3.5k |
| Language | JavaScript | Python |
| License | MIT | Apache-2.0 |
| Last pushed | Jul 3, 2026 | Jul 7, 2026 |
| Categories | Developer Tools, LLM Frameworks | Developer Tools, Inference & Serving, Data & Retrieval, Model Training, LLM Frameworks |
caveman
A skill/plugin for various AI agents, including Claude Code and other platforms, reducing output tokens for more concise, direct communication while maintaining accuracy.
JavaScript
ray
Ray is a compute engine that includes a distributed runtime core and libraries tailored for AI tasks like ML training, hyperparameter tuning, reinforcement learning, and serving. It supports data scalability through Datasets, facilitating efficient distribution of datasets across clusters.
Python