team9 vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares team9 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=team9ai_team9,openai_openai_agents_python or MCP compare_agents(["team9ai_team9","openai_openai_agents_python"]).
t
team9
@team9ai_team9
Evidence RankedOperator#844
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openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
21.95
Rank
#844
7d Change
—
Score
73.81
Rank
#1
7d Change
—
Evidence Signals
GitHub61.73
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: low
GitHub95.69
Packages100
Deps90.73
Docs84
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: #849 → #849
Score: 1646 → 21.95
1 days tracked
→ Flat
Rank: #69 → #69
Score: 6741 → 73.81
1 days tracked
Recent Signals
Repo spike23d ago
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