DeepSeek-Reasonix vs Orca
Side-by-side comparison of two AI agent tools
Short answer
- Orca is growing faster: +19,335 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 Orca for: orca is the ADE for working with a fleet of parallel agents.
From GitHub data refreshed daily.
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DeepSeek-Reasonixopen-source
A reliable coding agent for complex software engineering tasks.
O
Orcaopen-source
Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and remote runtime.
Metrics
| DeepSeek-Reasonix | Orca | |
|---|---|---|
| Stars | 35.7k | 83.6k |
| Star velocity /mo | 285 | 19.3k |
| Commits (90d) | 5.4k | 6.4k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.8402952248610194 | 0.957769928427318 |
FAQ
- Which is more popular, DeepSeek-Reasonix or Orca?
- Orca has more GitHub stars (83,552 vs 35,740).
- Which is more actively developed, DeepSeek-Reasonix or Orca?
- Orca had more commits in the last 90 days (6,438 vs 5,357).
- Should I use DeepSeek-Reasonix or Orca?
- 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.