LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.

• UpdatedFeb 20, 2026
• C++

📈 Application for statistical analysis and data visualization which can generate different types of publication quality 2D and 3D plots with extensive visual customization.

• UpdatedApr 19, 2024
• C++

A simple openGL 2D plotter for quickly updated data.

• UpdatedMay 9, 2024
• C++

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

• UpdatedFeb 20, 2026
• Python

Web-viewer for materials science visualizations

• UpdatedOct 2, 2025
• TypeScript

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

• UpdatedOct 23, 2025

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

• UpdatedOct 23, 2025

QPlotMarker – an interactive marker for QChart (Qt). Supports color and orientation (vertical/horizontal) changes, snaps to data points, and displays intersection coordinates.

• UpdatedAug 20, 2025
• C++

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

• UpdatedFeb 20, 2026
• R

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.

• UpdatedFeb 19, 2026
• Python

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.

• UpdatedOct 23, 2025