SciDER: Scientific Data-centric End-to-end Researcher

Dimensions overall score 8.0

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• SciDER is a data-centric end-to-end system that automates the entire research lifecycle from data processing to experimentation.method 95%
• SciDER's specialized agents can collaboratively parse and analyze raw scientific data, unlike traditional frameworks.method 90%
• SciDER generates hypotheses and experimental designs grounded in specific data characteristics.method 90%
• SciDER writes and executes code corresponding to generated experimental designs.technical 90%
• Evaluation on three benchmarks shows SciDER excels in specialized data-driven scientific discovery.result 85%
• SciDER outperforms general-purpose agents and state-of-the-art models.result 85%
• SciDER's performance advantage comes from its self-evolving memory and critic-led feedback loop.technical 80%
• SciDER is distributed as a modular Python package with easy-to-use PyPI packages and a lightweight web interface.technical 95%

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