ETO vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares ETO 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=yifan_song793_eto,openai_openai_agents_python or MCP compare_agents(["yifan_song793_eto","openai_openai_agents_python"]).
E
ETO
@yifan_song793_eto
Evidence RankedOperator#1081
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
17.4
Rank
#1081
7d Change
—
Score
72.2
Rank
#3
7d Change
—
Evidence Signals
GitHub34.4
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: low
GitHub95.03
Packages100
Deps88.64
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: #1070 → #1070
Score: 1114 → 17.4
1 days tracked
→ Flat
Rank: #61 → #61
Score: 6725 → 72.2
1 days tracked
Recent Signals
Repo spike11d ago
Repo spike18d ago
Repo spike33d ago
Repo spike37d ago
Repo spike58d ago
Dev activity2h ago
Repo spike2h ago
Dev activity6h ago
Repo spike6h ago
Dev activity10h ago