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.
A simple openGL 2D plotter for quickly updated data.
Publication-style scientific plotting for papers: common plot families, clean exports, and panel-first Figma assembly.
A reusable skill for reproducible Origin/OriginPro figure generation driven by external Python scripts.
📊📈🔬 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
Sanitized Origin Pro MCP skill package with bilingual documentation
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。
SigmaPlot Scientific Graphing Studio — publication-quality charts, curve fitting and statistics for laboratory data.
Golden Software Surfer Complete Edition — contour mapping, 3D surface visualization and grid processing for geospatial data.
QPlotMarker – an interactive marker for QChart (Qt). Supports color and orientation (vertical/horizontal) changes, snaps to data points, and displays intersection coordinates.
Professional Scientific Plotting for Academic Publications - From Data to Publication-Ready Figures
Calm, cohesive visualiation themes for matplotlib, seaborn, plotnine, plotly, and altair.
multiplot: One-call ggplot2 extension reproducing default plot styles of 10 graphing software (Prism, SPSS, Origin, Stata, MATLAB, JMP, Minitab, MedCalc, SigmaPlot, Academic). 29 functions, 106 tests, MIT.
R package to process and analyze data and spectra in Electron Paramagnetic Resonance spectroscopy for chemists
Publication-quality Matplotlib styling for peer-reviewed journals.
Official SmartPlot installer downloads and release assets for Windows and macOS
A Python toolkit for automated analysis and visualization of OLED J-V-L, current efficiency, and EQE data.
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