arp vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares arp 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=offgrid_ing_arp,openai_openai_agents_python or MCP compare_agents(["offgrid_ing_arp","openai_openai_agents_python"]).
a
arp
@offgrid_ing_arp
Evidence RankedOperator#767
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#2
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Score & Rank
Score
21.83
Rank
#767
7d Change
—
Score
72.42
Rank
#2
7d Change
—
Evidence Signals
GitHub35.5
Packages—
Deps—
Docs67
Discourse23.99
Ecosystem—
Coverage: low
GitHub95.28
Packages100
Deps89.6
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: #1167 → #1167
Score: 903 → 21.83
1 days tracked
→ Flat
Rank: #65 → #65
Score: 6731 → 72.42
1 days tracked
Recent Signals
Repo spike7d ago
Repo spike89d ago
New release89d ago
Repo spike96d ago
X mention spike136d ago
Repo spike3h ago
Dev activity7h ago
Repo spike7h ago
Dev activity11h ago
Repo spike11h ago