Alibaba Qwen vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares Alibaba Qwen 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=qwen,openai_openai_agents_python or MCP compare_agents(["qwen","openai_openai_agents_python"]).
A
Alibaba Qwen
@qwen
Evidence RankedBuilder#1166
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
15
Rank
#1166
7d Change
—
Score
71.77
Rank
#3
7d Change
—
Evidence Signals
GitHub—
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: very_low
GitHub94.95
Packages100
Deps88.15
Docs71
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: #68 → #68
Score: 6681 → 15
1 days tracked
→ Flat
Rank: #61 → #61
Score: 6723 → 71.77
1 days tracked
Recent Signals
No recent signals
Dev activity1h ago
Repo spike1h ago
Dev activity5h ago
Repo spike5h ago
Dev activity9h ago