a2a-samples vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares a2a-samples 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=a2aproject_a2a_samples,openai_openai_agents_python or MCP compare_agents(["a2aproject_a2a_samples","openai_openai_agents_python"]).
a
a2a-samples
@a2aproject_a2a_samples
Evidence RankedBuilder#400
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
25.67
Rank
#400
7d Change
—
Score
72.2
Rank
#3
7d Change
—
Evidence Signals
GitHub70.54
Packages—
Deps—
Docs47
Discourse—
Ecosystem—
Coverage: low
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: #388 → #388
Score: 4616 → 25.67
1 days tracked
→ Flat
Rank: #61 → #61
Score: 6725 → 72.2
1 days tracked
Recent Signals
Repo spike40m ago
Repo spike4h ago
Repo spike1d ago
Dev activity1d ago
Dev activity1d ago
Dev activity40m ago
Repo spike40m ago
Dev activity4h ago
Dev activity8h ago
Repo spike12h ago