LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.
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Updated
Oct 23, 2025 - 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.
📊📈🔬 SpectraFit is a command-line and Jupyter-notebook tool for quick data-fitting based on the regular expression of distribution functions.
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.
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.
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.
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