DeepCode vs ECC
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 +40 for DeepCode.
- Pick DeepCode for: "DeepCode: Open Agentic Coding (Agent Harness & Loop Engineering & Multi-Agent Orchestration)". Pick ECC for: coordinated engineering system for AI coding agents with planning, testing, review, memory, and security.
From GitHub data refreshed daily.
D
DeepCodeopen-source
"DeepCode: Open Agentic Coding (Agent Harness & Loop Engineering & Multi-Agent Orchestration)"
E
ECCopen-source
Coordinated engineering system for AI coding agents with planning, testing, review, memory, and security
Metrics
| DeepCode | ECC | |
|---|---|---|
| Stars | 16.7k | 271.7k |
| Star velocity /mo | 40 | 16.0k |
| Commits (90d) | 362 | 787 |
| Releases (6m) | 5 | 7 |
| Downloads (30d, npm + PyPI) | 618 | 42.5K |
| Overall score | 0.597276451862984 | 0.8565295708921501 |
FAQ
- Which is more popular, DeepCode or ECC?
- ECC has more GitHub stars (271,730 vs 16,665).
- Which is more actively developed, DeepCode or ECC?
- ECC had more commits in the last 90 days (787 vs 362).
- Should I use DeepCode or ECC?
- 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.