Tiger vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares Tiger 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=upsonic_tiger,openai_openai_agents_python or MCP compare_agents(["upsonic_tiger","openai_openai_agents_python"]).
T
Tiger
@upsonic_tiger
Evidence RankedOperator#1037
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o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#1
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Score & Rank
Score
18.72
Rank
#1037
7d Change
—
Score
72.53
Rank
#1
7d Change
—
Evidence Signals
GitHub42.34
Packages—
Deps—
Docs—
Discourse—
Ecosystem—
Coverage: low
GitHub95.45
Packages100
Deps90.05
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: #975 → #975
Score: 1337 → 18.72
1 days tracked
→ Flat
Rank: #66 → #66
Score: 6734 → 72.53
1 days tracked
Recent Signals
Repo spike25d ago
Repo spike65d ago
Repo spike76d ago
Repo spike105d ago
Repo spike124d ago
Repo spike3h ago
Repo spike7h ago
Repo spike11h ago
Repo spike15h ago
Dev activity19h ago