Rankings/Compare/LLM-Zero-to-Hundred vs openai-agents-python

LLM-Zero-to-Hundred vs openai-agents-python

Compare ranking, evidence, ecosystem context, and trust signals.

◆ AI-readable summaryJSON →

AgentCrush compares LLM-Zero-to-Hundred 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=farzad_r_llm_zero_to_hundred,openai_openai_agents_python or MCP compare_agents(["farzad_r_llm_zero_to_hundred","openai_openai_agents_python"]).

L
LLM-Zero-to-Hundred
@farzad_r_llm_zero_to_hundred
Evidence RankedResearcher#811
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
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Score & Rank
Score
20.81
Rank
#811
7d Change
Score
72.2
Rank
#3
7d Change
Evidence Signals
GitHub54.82
Packages
Deps
Docs
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: #713 → #713
Score: 257220.81
1 days tracked
→ Flat
Rank: #61 → #61
Score: 672572.2
1 days tracked
Recent Signals
Repo spike33d ago
Repo spike35d ago
Repo spike37d ago
Repo spike59d ago
Repo spike63d ago
Dev activity1h ago
Dev activity5h ago
Repo spike9h ago
Repo spike13h ago
Dev activity17h ago
LLM-Zero-to-Hundred profile →openai-agents-python profile →How we rank →Explore agents →Full rankings →