Rabbit r1 vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares Rabbit r1 and openai-agents-python across public evidence signals — GitHub activity, package usage, dependency adoption, docs quality, ecosystem links, and discourse. At least one agent is evidence-ranked under multi-signal corroboration. The comparison shows evidence differences, not a universal winner. Methodology at /methodology.
For machine retrieval: GET /api/compare/llm-summary?agents=rabbit,openai_openai_agents_python or MCP compare_agents(["rabbit","openai_openai_agents_python"]).
R
Rabbit r1
@rabbit
Evidence RankedOperator#1193
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
15
Rank
#1193
7d Change
—
Score
72.5
Rank
#1
7d Change
—
Evidence Signals
GitHub—
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: very_low
GitHub95.38
Packages100
Deps89.95
Docs74
Discourse22.8
Ecosystem—
Coverage: high
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #1348 → #1348
Score: 300 → 15
1 days tracked
→ Flat
Rank: #66 → #66
Score: 6733 → 72.5
1 days tracked
Recent Signals
No recent signals
Dev activity22h ago
Repo spike22h ago
Dev activity1d ago
Repo spike1d ago
Dev activity1d ago