SciDER: Scientific Data-centric End-to-end Researcher
SciDER: Scientific Data-centric End-to-end Researcher explores SciDER is a Python package that automates scientific research by analyzing data and producing executable code, accelerating data-driven discovery.. Commercial viability score: 8/10 in Scientific Automation.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisEDM-ARS: A Domain-Specific Multi-Agent System for Automated Educational Data Mining ResearchViability: 7.0
- Builds On ThisDataCross: A Unified Benchmark and Agent Framework for Cross-Modal Heterogeneous Data AnalysisViability: 7.0
- Builds On ThisInternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific DiscoveryViability: 3.0
- Builds On ThisA Hierarchical Multi-Agent System for Autonomous Discovery in Geoscientific Data ArchivesViability: 6.0
- Builds On ThisUsing a Human-AI Teaming Approach to Create and Curate Scientific Datasets with the SCILIRE System