openinterpreter vs Superset
Side-by-side comparison of two AI agent tools
Short answer
- Superset is growing faster: +580 GitHub stars in the last 30 days vs +200 for openinterpreter.
- Pick openinterpreter for: a coding agent for open models like Kimi K3 and GLM 5.3. Pick Superset for: superset is an agentic IDE to orchestrate 100+ coding agents in parallel.
From GitHub data refreshed daily.
o
openinterpreteropen-source
A coding agent for open models like Kimi K3 and GLM 5.3
S
Supersetopen-source
Superset is an agentic IDE to orchestrate 100+ coding agents in parallel. Run any agent with your own subscription.
Metrics
| openinterpreter | Superset | |
|---|---|---|
| Stars | 68.5k | 14.8k |
| Star velocity /mo | 200 | 580 |
| Commits (90d) | 2.7k | 1.6k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.796370460520639 | 0.8536983475578469 |
FAQ
- Which is more popular, openinterpreter or Superset?
- openinterpreter has more GitHub stars (68,497 vs 14,836).
- Which is more actively developed, openinterpreter or Superset?
- openinterpreter had more commits in the last 90 days (2,737 vs 1,629).
- Should I use openinterpreter or Superset?
- 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.