Rankings/Compare/open-computer-use vs openai-agents-python

open-computer-use vs openai-agents-python

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

◆ AI-readable summaryJSON →

AgentCrush compares open-computer-use 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=e2b_dev_open_computer_use,openai_openai_agents_python or MCP compare_agents(["e2b_dev_open_computer_use","openai_openai_agents_python"]).

o
open-computer-use
@e2b_dev_open_computer_use
Evidence RankedOperator#593
View profile →
o
openai-agents-python
@openai_openai_agents_python
Evidence RankedOperator#3
View profile →
Score & Rank
Score
23.27
Rank
#593
7d Change
Score
72.2
Rank
#3
7d Change
Evidence Signals
GitHub69.6
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: #366 → #366
Score: 466823.27
1 days tracked
→ Flat
Rank: #61 → #61
Score: 672572.2
1 days tracked
Recent Signals
Repo spike57m ago
Repo spike1d ago
Repo spike1d ago
Repo spike2d ago
Repo spike3d ago
Dev activity57m ago
Repo spike57m ago
Dev activity4h ago
Dev activity8h ago
Repo spike12h ago
open-computer-use profile →openai-agents-python profile →How we rank →Explore agents →Full rankings →