论文配图一键生成

论文配图一键生成：一条命令从 JSON/CSV/Excel 生成顶刊级学术图表，科研绘图与期刊配图全场景覆盖。29 种图表（森林图/KM 生存曲线（自动风险表）/ROC/火山图/ 雨云图/山脊图/游泳图（逐例时长+里程碑）/肿瘤缓解瀑布图/UpSet 交集/PRISMA 流程图/ 漏斗/BA 一致性/PCA/热图/箱线/小提琴/组合图/Cox 多因素回归森林图等），9 套配色（含色盲安全 Okabe-Ito 与期刊色板），9 种期刊投稿预设，YAML 流水线一条命令出全套论文图，一次渲染多格式导出（TIFF/PNG/PDF），PDF 重叠门禁，600dpi。纯本地运行，数据不出机，中文零配置。适用：写论文/投稿要配图、把数据变成可投稿图表、批量重出全套图。不适用：文本润色/翻译/改写（请用写作类工具）；商业报表/仪表盘/海报装饰；无数据支撑的纯示意图。

Academic Figures

Publication-ready scientific figures from data — one command, verified output. 从数据一键生成投稿级论文图表：期刊合规、统计正确、中文零配置、纯本地运行。

29 chart types (bar/slope/volcano/upset set-intersections/oncology waterfall/raincloud/clinical swimmer/ridgeline joyplot/box/violin/ scatter/line/heatmap/clustered-heatmap/forest/KM/ROC/venn 4-set ellipse/Bland-Altman/PCA/ funnel/paired/dual-axis/stacked/composite/diagram/PRISMA 2020 …) · 9 journal presets (Nature/Lancet/Science/Cell/NEJM/JAMA/IEEE/CMA/ 中文核心) · 9 color themes incl. colorblind-safe Okabe-Ito · 600dpi TIFF/PDF/SVG/EPS · fully local, zero telemetry.

Quick Start

# one-command figure (auto-picks the chart type)
python3 scripts/gen_figure.py --quick -d data.csv

# Nature double-column submission (width/font/DPI per author guidelines)
python3 scripts/gen_figure.py -t bar -d data.json -o fig.pdf --journal nature --column double --verify

# Cox multi-variable regression forest (raw per-subject data; Efron + PH test)
python3 scripts/gen_figure.py -t forest -d patient.csv --stats cox   --cox-time time --cox-event event --cox-cols "age,sex,treat"

# Chinese zero-config (auto CJK font detection)
python3 scripts/gen_figure.py -t km -d survival.json -o km.png --cjk

Why academic-figures

Journal compliance built-in: column widths, font sizes and DPI from official author guidelines; --verify pixel-level text-overlap gate; audit_pdf.py font-size gate — the hard desk-reject reasons are guarded mechanically.
Statistical correctness: Cox (Efron ties + PH test), KM (risk table, log-rank, median survival 95% CI), ROC (DeLong), metafunnel (Egger) — all validated against reference implementations (lifelines) to machine precision.
Chinese zero-config: CJK font auto-detection, CMA/中文核心 presets, Chinese diagnostics for every error (graded exit codes 0-6).
Safe by construction: fully local rendering, no network requests, no telemetry. See SKILL.md "Safety & Data" statement.

Docs

Full docs: SKILL.md (EN) · 中文文档见 SkillHub 页面
Getting started: references/quickstart.md · One-page cheatsheet: references/cheatsheet.md · Limits & flag interactions: references/limits.md
Scenario templates: templates/ (28, each with a ready-to-run command)
Regression suite: tests/run_tests.py (346 tests)

Install

git clone https://github.com/docsor1212/academic-figures.git
cd academic-figures
python3 scripts/setup_env.py    # optional: install deps + self-check

Or install as an agent skill from SkillHub (中文) — search academic-figures.

China mirror (ModelScope 魔搭): https://modelscope.cn/skills/Docsor/academic-figures — if you find this skill useful, a like there helps others find it.

Related tools · 相关工具

pubmed-verifier —— 批量核验 PMID/DOI 引用真实性
cite-holmes —— 引用与上下文一致性核查（幻觉引用检测）
paper-polisher-pro —— 论文润色 · AI 率检测
paper-rewriter —— AI 痕迹风格改写
doc-holmes —— PDF 精确翻译/全文提取
cn-med-oa —— 中文 OA 医学文献检索与引用核验
MedWiki —— 医学维基参考站（药品说明书/医学术语）

License

MIT