AReaL vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares AReaL 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=areal_project_areal,openai_openai_agents_python or MCP compare_agents(["areal_project_areal","openai_openai_agents_python"]).
A
AReaL
@areal_project_areal
Evidence RankedOperator#349
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
25.2
Rank
#349
7d Change
—
Score
71.5
Rank
#3
7d Change
—
Evidence Signals
GitHub81.2
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: low
GitHub94.81
Packages100
Deps86.69
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: #1285 → #1285
1 days tracked
→ Flat
Rank: #1243 → #1243
1 days tracked
Recent Signals
Repo spike4h ago
Repo spike8h ago
Repo spike2d ago
Repo spike2d ago
Dev activity2d ago
Repo spike6m ago
Repo spike4h ago
Repo spike8h ago
Repo spike12h ago
Repo spike16h ago