LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.
-
Updated
Jul 3, 2026 - C++
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
Golden Software Surfer Complete Edition — contour mapping, 3D surface visualization and grid processing for geospatial data.
Sanitized Origin Pro MCP skill package with bilingual documentation
SigmaPlot Scientific Graphing Studio — publication-quality charts, curve fitting and statistics for laboratory data.
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。
QPlotMarker – an interactive marker for QChart (Qt). Supports color and orientation (vertical/horizontal) changes, snaps to data points, and displays intersection coordinates.
Calm, cohesive visualiation themes for matplotlib, seaborn, plotnine, plotly, and altair.
Professional Scientific Plotting for Academic Publications - From Data to Publication-Ready Figures
R package to process and analyze data and spectra in Electron Paramagnetic Resonance spectroscopy for chemists
Publication-quality Matplotlib styling for peer-reviewed journals.
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.
Official SmartPlot installer downloads and release assets for Windows and macOS
Generate visually balanced and pleasant color palettes for scientific plots (Matplotlib-ready)
Add a description, image, and links to the scientific-plotting topic page so that developers can more easily learn about it.
To associate your repository with the scientific-plotting topic, visit your repo's landing page and select "manage topics."