DeepSeek-Reasonix vs QwenLM/qwen-code
Side-by-side comparison of two AI agent tools
Short answer
- QwenLM/qwen-code is growing faster: +465 GitHub stars in the last 30 days vs +285 for DeepSeek-Reasonix.
- Pick DeepSeek-Reasonix for: a reliable coding agent for complex software engineering tasks. Pick QwenLM/qwen-code for: an open-source AI coding agent that lives in your terminal.
From GitHub data refreshed daily.
D
DeepSeek-Reasonixopen-source
A reliable coding agent for complex software engineering tasks.
Q
QwenLM/qwen-codeopen-source
An open-source AI coding agent that lives in your terminal.
Metrics
| DeepSeek-Reasonix | QwenLM/qwen-code | |
|---|---|---|
| Stars | 35.7k | 28.3k |
| Star velocity /mo | 285 | 465 |
| Commits (90d) | 5.4k | 3.5k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.8402952248610194 | 0.8642094222460844 |
FAQ
- Which is more popular, DeepSeek-Reasonix or QwenLM/qwen-code?
- DeepSeek-Reasonix has more GitHub stars (35,740 vs 28,273).
- Which is more actively developed, DeepSeek-Reasonix or QwenLM/qwen-code?
- DeepSeek-Reasonix had more commits in the last 90 days (5,357 vs 3,463).
- Should I use DeepSeek-Reasonix 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.