github search·autodatabench-autodatabench
AutoDataBench/AutoDataBench
AutoDataBench/AutoDataBench: Existing auto-research benchmarks often entangle multiple sources of improvement, including training frameworks, hyperparameters, compute budgets, and data, making it difficult to attribute why one frontier agent outperforms another to specific research capabilities. In this w...
AgentScore
9.10.00
+0.00 vs 24h ago
Adoption3.2
Quality0.0
Momentum62.5
Community5.0
Unrated pillars contribute zero
CapabilitiesCode GenerationResearch
DeploymentIde Plugin
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
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Pillar contributions
- GitHub stars5→ 13.0MCP registry listing0→ 0.0SO questions (7d)0→ 0.0
Pillar = mean of 3 scaled values = 3.2.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs, PyPI monthly installs
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Score envelope last computed 1d ago.