HyperFrames vs QwenLM/qwen-code
Side-by-side comparison of two AI agent tools
Short answer
- HyperFrames is growing faster: +14,710 GitHub stars in the last 30 days vs +410 for QwenLM/qwen-code.
- Pick HyperFrames for: write HTML. Pick QwenLM/qwen-code for: an open-source AI coding agent that lives in your terminal.
From GitHub data refreshed daily.
H
HyperFramesopen-source
Write HTML. Render video. Built for agents.
Q
QwenLM/qwen-codeopen-source
An open-source AI coding agent that lives in your terminal.
Metrics
| HyperFrames | QwenLM/qwen-code | |
|---|---|---|
| Stars | 56.1k | 28.3k |
| Star velocity /mo | 14.7k | 410 |
| Commits (90d) | 3.0k | 3.5k |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | 1.7M | 548 |
| Overall score | 0.94184515668165 | 0.8472626810588997 |
FAQ
- Which is more popular, HyperFrames or QwenLM/qwen-code?
- HyperFrames has more GitHub stars (56,104 vs 28,283).
- Which is more actively developed, HyperFrames or QwenLM/qwen-code?
- QwenLM/qwen-code had more commits in the last 90 days (3,463 vs 2,970).
- Should I use HyperFrames or QwenLM/qwen-code?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.