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.

📊📈🔬 SpectraFit is a command-line and Jupyter-notebook tool for quick data-fitting based on the regular expression of distribution functions.

A reusable skill for reproducible Origin/OriginPro figure generation driven by external Python scripts.

中文科研绘图库 | Nature/IEEE 样式 | pastel/earth/ocean 配色 | 论文级图表

Web-viewer for materials science visualizations

Free Matplotlib tutorials for beginners with 8 interactive lessons. Easy-to-follow programming guides with hands-on practice exercises.

Sanitized Origin Pro MCP skill package with bilingual documentation

Build real Matplotlib projects with 2 beginner-friendly challenges. Learn by doing with guided coding exercises and practical applications.

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.

R package to process and analyze data and spectra in Electron Paramagnetic Resonance spectroscopy for chemists

This comprehensive course covers the fundamental concepts and practical techniques of Matplotlib, the essential plotting library in Python. Learn to create various types of charts and visualizations including line plots, bar charts, scatter plots, histograms, pie charts, and subplots.

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.

Professional Scientific Plotting for Academic Publications - From Data to Publication-Ready Figures

A lightweight pipeline for generating publication-quality plots from gnuplot with consistent LaTeX formatting. Very useful for uniform plotting for collaborations/bigger projects.

Generate visually balanced and pleasant color palettes for scientific plots (Matplotlib-ready)

Reproducible, publication-ready scientific figures as first-class objects. Millimeter-precise layout, 47 plot types, GUI editor, and diagram engine. Part of SciTeX. AGPL-3.0.