ECC vs QwenLM/qwen-code
Side-by-side comparison of two AI agent tools
Short answer
- ECC is growing faster: +15,970 GitHub stars in the last 30 days vs +410 for QwenLM/qwen-code.
- Pick ECC for: coordinated engineering system for AI coding agents with planning, testing, review, memory, and security. Pick QwenLM/qwen-code for: an open-source AI coding agent that lives in your terminal.
From GitHub data refreshed daily.
E
ECCopen-source
Coordinated engineering system for AI coding agents with planning, testing, review, memory, and security
Q
QwenLM/qwen-codeopen-source
An open-source AI coding agent that lives in your terminal.
Metrics
| ECC | QwenLM/qwen-code | |
|---|---|---|
| Stars | 271.7k | 28.3k |
| Star velocity /mo | 16.0k | 410 |
| Commits (90d) | 787 | 3.5k |
| Releases (6m) | 7 | 10 |
| Downloads (30d, npm + PyPI) | 42.5K | 548 |
| Overall score | 0.8565295708921501 | 0.8472626810588997 |
FAQ
- Which is more popular, ECC or QwenLM/qwen-code?
- ECC has more GitHub stars (271,730 vs 28,283).
- Which is more actively developed, ECC or QwenLM/qwen-code?
- QwenLM/qwen-code had more commits in the last 90 days (3,463 vs 787).
- Should I use ECC 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.