LabPlot is a FREE, #opensource and cross-platform data #visualization and #analysis software accessible to everyone and trusted by professionals.
• High-quality interactive plotting• Reliable data analysis, statistics, regression, curve and peak fitting• Computing with interactive Notebooks (Python R Maxima Octave and more)• Data extraction from plots and support for live data• Data import and export (many file formats)• Runs on Windows, macOS, Linux
Partly funded through #NGI Zero Core.
We’re announcing the 2.12.1 minor patch release of #LabPlot with small improvements and bug fixes. :boost_love: 🚀
#LabPlot, the project for #statisticians, #researchers, #scientists, #engineers, #educators and #students, publishes version 2.12 of its #FREE comprehensive #dataAnalysis and #visualization tool.
An example analysis of a #learning process with #LabPlot dev (P-chart).
@LabPlot at the service of #science and #researchers! 🔬 👩🔬 ⚗️
How to visualize #server #metrics in #RealTime via #TCP in @LabPlot ?
#LabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone. In LabPlot your #data is yours alone!
#LabPlot Team Loves #FreeSoftwareDay! ❤️
Today is the Data Privacy (Protection) Day! So let us remind you that in #LabPlot, an open-source data analysis and visualization software, Your Data is Yours!
Have you seen this video tutorial on how to extract plots, curves and data points from images using #LabPlot's Data Picker tool ?
#LabPlot is currently fully available in British English, Catalan, Dutch, Galician, German, Polish, Slovenian, Spanish, Swedish and partially available in French, Italian, Ukrainian, Russian and other
This page contains a list of external resources mentioning #LabPlot and its usage in various areas 👨🔬 🔭 🔬 .
If you want to learn #statistics, we highly recommend this YouTube channel: #TileStats.
An open access article by W. Morales González and J. E. Hernández-Ruiz: Experiencias en el uso del software LabPlot en el procesamiento analítico y gráfico de datos experimentales
You can fit data to a statistical distribution in a flash using #LabPlot
▶️ LabPlot - Tutorial - Stacked Plots
The #LabPlot team is already hard working on new features. Check out our growing list of the post-v2.11 development news! 🚀 🚀 🚀 Come join us! 🙂
▶️ Como instalar o editor de plotagens de #LabPlot no #Linux via #Flatpak
▶️ LabPlot - A free OriginPro alternative for Researchers (Distribution Plots)
▶️ LabPlot - A free OriginPro alternative for #Researchers (Scatter Plots)
