Data

科研可视化工具从数据剖析到出版级成图，先做 EDA、选图决策和错误拦截，再进行绘制、自检与多格式导出。适合论文配图、科研数据可视化和数学建模结果图制作。

建模手用于数学建模题目的题意理解、模型选择和算法设计，并输出题目分析报告与术语表格。它适合在建模开始阶段做问题拆解、约束梳理和方案论证。

编程手把数学建模方案实现为 Python 或 MATLAB 代码，并完成运行、表格输出、可视化和复现清单。适合需要把模型落到可执行结果并交付图表与复现材料时使用。

bioRxiv Database searches bioRxiv preprints by keywords, authors, dates, categories, or DOI and returns structured metadata. Use it for literature reviews, citation lookup, and downloading preprint PDFs.

Infographics creates publication-style visuals from a natural-language prompt, with optional research, iterative quality review, and regeneration when needed. Use it for statistics, comparisons, timelines, process explainers, and other data-driven visuals.

OpenAlex Database queries OpenAlex to search papers, find authors or institutions, track citations, and analyze publication trends. Use it for literature reviews, bibliometrics, and open access discovery across scholarly works.

Scientific Visualization creates publication-ready figures with journal formatting, multi-panel layouts, annotations, and export settings for manuscripts. Use it when preparing scientific plots for submission or improving figures for print and accessibility.

Astronomy Published Table Chains rebuilds a published table of means and 1-sigma errors as synthetic chains for comparison plots. Use it when a paper releases only summarized posteriors and you need GetDist-compatible samples for each model.

Chemistry Canonical Units Thresholds Incumbent helps compare computational chemistry results against the field’s incumbent code, report in canonical units, and convert errors into threshold success rates. Use it for study design, analysis, and paper reporting.

Chemistry Ranked Entities And Property Curves helps plan analysis reports that need a named ranked list of chemical entities or a property-versus-coordinate curve. Use it when you must print per-entity scores, scan ranges, and the key constants or errors from a sweep.

Cost Tracking shows engagement spend and return on investment for a pentest run. Use it to review which agents spent the most and whether the work produced findings worth the cost.

Joint Posterior Triangle Plot shows overlaid triangle plots for two or more models on the source's parameter axes. Use it when comparing how models shift parameters and whether their joint contours overlap or diverge.