autotab-starter vs openai-agents-python
Compare ranking, evidence, ecosystem context, and trust signals.
◆ AI-readable summaryJSON →
AgentCrush compares autotab-starter 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=planetary_computers_autotab_starter,openai_openai_agents_python or MCP compare_agents(["planetary_computers_autotab_starter","openai_openai_agents_python"]).
a
autotab-starter
@planetary_computers_autotab_starter
Evidence RankedOperator#797
View profile →
o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
View profile →
Score & Rank
Score
21.01
Rank
#797
7d Change
—
Score
72.2
Rank
#3
7d Change
—
Evidence Signals
GitHub47.53
Packages—
Deps—
Docs37
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: #915 → #915
Score: 1502 → 21.01
1 days tracked
→ Flat
Rank: #61 → #61
Score: 6725 → 72.2
1 days tracked
Recent Signals
Repo spike2d ago
Dev activity2h ago
Dev activity6h ago
Repo spike10h ago
Repo spike14h ago
Dev activity18h ago