Ribbita vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares Ribbita 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=virtuals_tibbir,openai_openai_agents_python or MCP compare_agents(["virtuals_tibbir","openai_openai_agents_python"]).

Ribbita
@virtuals_tibbir
Evidence RankedTrader#1171
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openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
15
Rank
#1171
7d Change
—
Score
72.16
Rank
#3
7d Change
—
Evidence Signals
GitHub—
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: very_low
GitHub94.99
Packages100
Deps88.44
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: #1375 → #1375
Score: 300 → 15
1 days tracked
→ Flat
Rank: #61 → #61
Score: 6724 → 72.16
1 days tracked
Recent Signals
No recent signals
Repo spike2h ago
Repo spike6h ago
Dev activity10h ago
Repo spike10h ago
Dev activity14h ago