neo vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares neo 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=4ier_neo,openai_openai_agents_python or MCP compare_agents(["4ier_neo","openai_openai_agents_python"]).
n
neo
@4ier_neo
Evidence RankedOperator#129
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
31.48
Rank
#129
7d Change
—
Score
72.2
Rank
#3
7d Change
—
Evidence Signals
GitHub57.78
Packages21.9
Deps—
Docs44
Discourse—
Ecosystem—
Coverage: medium
GitHub95.03
Packages100
Deps88.64
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: #557 → #557
Score: 4136 → 31.48
1 days tracked
→ Flat
Rank: #61 → #61
Score: 6725 → 72.2
1 days tracked
Recent Signals
Repo spike14h ago
Repo spike1d ago
Repo spike1d ago
Repo spike3d ago
Repo spike4d ago
Dev activity2h ago
Dev activity6h ago
Repo spike10h ago
Repo spike14h ago
Dev activity18h ago