career-ops vs HyperFrames
Side-by-side comparison of two AI agent tools
Short answer
- HyperFrames is growing faster: +12,180 GitHub stars in the last 30 days vs +1,590 for career-ops.
- Pick career-ops for: local open-source AI agent that checks job listings, scores CV fit, and tailors application materials. Pick HyperFrames for: write HTML.
From GitHub data refreshed daily.
c
career-opsopen-source
Local open-source AI agent that checks job listings, scores CV fit, and tailors application materials
H
HyperFramesopen-source
Write HTML. Render video. Built for agents.
Metrics
| career-ops | HyperFrames | |
|---|---|---|
| Stars | 73.2k | 55.0k |
| Star velocity /mo | 1.6k | 12.2k |
| Commits (90d) | 2.0k | 2.9k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.9062805838030148 | 0.9448099856076736 |
FAQ
- Which is more popular, career-ops or HyperFrames?
- career-ops has more GitHub stars (73,195 vs 55,039).
- Which is more actively developed, career-ops or HyperFrames?
- HyperFrames had more commits in the last 90 days (2,883 vs 1,975).
- Should I use career-ops or HyperFrames?
- 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.