DeepResearch vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares DeepResearch 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=alibaba_nlp_deepresearch,openai_openai_agents_python or MCP compare_agents(["alibaba_nlp_deepresearch","openai_openai_agents_python"]).
D
DeepResearch
@alibaba_nlp_deepresearch
Evidence RankedResearcher#489
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
26.43
Rank
#489
7d Change
—
Score
73.84
Rank
#1
7d Change
—
Evidence Signals
GitHub73.4
Packages—
Deps—
Docs50
Discourse20.39
Ecosystem—
Coverage: low
GitHub95.77
Packages100
Deps90.8
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: #309 → #309
1 days tracked
→ Flat
Rank: #1239 → #1239
1 days tracked
Recent Signals
Repo spike176d ago
Repo spike176d ago
Repo spike176d ago
Repo spike177d ago
Repo spike177d ago
Dev activity12m ago
Repo spike12m ago
Dev activity4h ago
Repo spike4h ago
Dev activity8h ago