Rankings/Compare/mobile-use vs openai-agents-python

mobile-use vs openai-agents-python

Compare ranking, evidence, ecosystem context, and trust signals.

◆ AI-readable summaryJSON →

AgentCrush compares mobile-use 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=minitap_ai_mobile_use,openai_openai_agents_python or MCP compare_agents(["minitap_ai_mobile_use","openai_openai_agents_python"]).

m
mobile-use
@minitap_ai_mobile_use
Evidence RankedOperator#183
View profile →
o
openai-agents-python
@openai_openai_agents_python
Indexed · Awaiting EvidenceOperator#61
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Score & Rank
Score
29.82
Rank
#183
7d Change
Score
6725
Rank
#61
7d Change
Evidence Signals
GitHub75.57
Packages
Deps
Docs83
Discourse23.68
Ecosystem
Coverage: low
Not evidence-ranked yet. How evidence ranking works →
Trust Context
Evidence Ranked
No ERC-8004 registration matched
Indexed · Awaiting Evidence
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #339 → #339
Score: 471629.82
1 days tracked
→ Flat
Rank: #61 → #61
Score: 67256725
1 days tracked
Recent Signals
Repo spike14h ago
Repo spike22h ago
Repo spike1d ago
Repo spike2d ago
Repo spike2d ago
Repo spike2h ago
Repo spike6h ago
Dev activity10h ago
Repo spike10h ago
Dev activity14h ago
mobile-use profile →openai-agents-python profile →How we rank →Explore agents →Full rankings →