LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.
📈 Application for statistical analysis and data visualization which can generate different types of publication quality 2D and 3D plots with extensive visual customization.
Sanitized Origin Pro MCP skill package with bilingual documentation
A reusable skill for reproducible Origin/OriginPro figure generation driven by external Python scripts.
Publication-style scientific plotting for papers: common plot families, clean exports, and panel-first Figma assembly.
A simple openGL 2D plotter for quickly updated data.
📊📈🔬 SpectraFit is a command-line and Jupyter-notebook tool for quick data-fitting based on the regular expression of distribution functions.
中文科研绘图库 | Nature/IEEE 样式 | pastel/earth/ocean 配色 | 论文级图表
DoubaoPlot — 在豆包/豆包工作里用 Origin 画可编辑的科研图，也支持 Codex、Claude Code。基于 hang-jin/editaplot 的二次创作，增加 45 图可点选择器。
Drive OriginLab Origin scientific plotting from AI chat via MCP. 74 tools: modal-dialog watchdog, LabTalk safety gate, FigureSpec declarative YAML, fit params, matrix tools, matplotlib bridge, PPT assembly, editable OPJU delivery. Windows + Origin 2021+.
Web-viewer for materials science visualizations
ScholarPlot 是一款专为科研人员打造的 AI 学术图表生成 Skill。通过自然语言交互，即可在几秒钟内自动生成符合 Nature/Science/IEEE 等顶级 SCI 期刊标准的专业数据图表、神经网络架构图与实验流程图。支持无缝接入 Claude、OpenClaw 等主流 AI 助手。
Practical, battle-tested AI agent skills for local/offline scenarios: local-vision (LM Studio offline image understanding/OCR) + veusz-plot (automated scientific plotting with Veusz, 16 plot types). MIT licensed.
PlotBase (Figure Memory) MCP Server - 科研图表档案与 Agent 上下文管理系统 MCP 服务
QPlotMarker – an interactive marker for QChart (Qt). Supports color and orientation (vertical/horizontal) changes, snaps to data points, and displays intersection coordinates.
批量读取 Excel 数据并生成可编辑、可复现的论文风格图表。
Professional Scientific Plotting for Academic Publications - From Data to Publication-Ready Figures
SigmaPlot Scientific Graphing Studio — publication-quality charts, curve fitting and statistics for laboratory data.
Calm, cohesive visualiation themes for matplotlib, seaborn, plotnine, plotly, and altair.
A lightweight, interactive HPLC data visualizer built for researchers. Instantly parse raw chromatographic files to generate publication-ready waterfall stacked plots. Features drag-and-drop batch loading, interactive peak integration shading, precise retention time marking, scientific color palettes, and lossless SVG export.
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