Basic visualization of data
Basic visualization of data
Advanced layouting of plots and images
Theming
Visualization of mathematical functions
Fit pre-defined or custom models to the data
Smooth the data with the help of various smoothing methods
Notebook interface for interactive sessions in Maxima, Octave, R, Sage, Scilab, Python, Julia, etc
Signal analysis
Herzsprung-Russel diagram in LabPlot
Visualization of data calculated in an interactive Maxima sessionLabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.
LabPlot provides an easy way to create, manage and edit plots. It allows you to produce plots based on data from a spreadsheet or on data imported from external files. Plots can be exported to several pixmap and vector graphic formats.
釋出版本 RSS
2.12.1
2025-08-15
2.12.0
2025-04-25
2.11.1
2024-07-16
2.11.0
2024-07-09
2.10.1
2023-07-11
2.10.0
2023-03-21
2.9.0
2022-05-03
2.8.2
2021-04-01
2.8.1
2020-11-13
2.8.0
2020-09-16
Nightly 測試版安裝程式
LabPlot 的 Nightly 測試版安裝程式也可以從 KDE 的 CDN 下載。這些版本主要是用來測試的。參與開發來幫我們改善它們!
不穩定版。
從開發分支的最新版產生。
- Linux (AppImage)
- Flatpak
Download the flatpakref file and open it with your software center for installation or run the following in a terminal:
flatpak install --user --or-update https://cdn.kde.org/flatpak/labplot-nightly/org.kde.labplot.flatpakref - Windows
- macOS ARM
- macOS Intel