hanzi-browse vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares hanzi-browse 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=hanzili_hanzi_browse,openai_openai_agents_python or MCP compare_agents(["hanzili_hanzi_browse","openai_openai_agents_python"]).
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hanzi-browse
@hanzili_hanzi_browse
Indexed · Awaiting EvidenceBuilder#1089
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openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
1128
Rank
#1089
7d Change
—
Score
73.84
Rank
#1
7d Change
—
Evidence Signals
Not evidence-ranked yet. How evidence ranking works →
GitHub95.77
Packages100
Deps90.8
Docs84
Discourse22.8
Ecosystem—
Coverage: high
Trust Context
Indexed · Awaiting Evidence
No ERC-8004 registration matched
Evidence Ranked
No ERC-8004 registration matched
30-day Trend
→ Flat
Rank: #1089 → #1089
Score: 1128 → 1128
1 days tracked
→ Flat
Rank: #73 → #73
Score: 6742 → 73.84
1 days tracked
Recent Signals
Repo spike19d ago
Repo spike35d ago
Repo spike50d ago
Repo spike75d ago
Repo spike76d ago
Dev activity3h ago
Repo spike3h ago
Dev activity7h ago
Repo spike7h ago
Dev activity11h ago