QtiPlot
QtiPlot is an open-source data analysis and visualization software similar to OriginLab Origin software. It offers 2D and 3D plotting, statistical analysis tools, curve fitting, data manipulation, and Python scripting support.
data-visualization
plotting
statistics
curve-fitting
python-scripting
QtiPlot: Open-Source Data Analysis and Visualization Software
QtiPlot offers 2D and 3D plotting, statistical analysis tools, curve fitting, data manipulation, and Python scripting support, making it a popular alternative to OriginLab software.
What is QtiPlot?
QtiPlot is an open-source data analysis and visualization application similar in scope and functionality to OriginLab's Origin software. Developed in C++ and utilizing the Qt framework, QtiPlot runs on Windows, MacOS, and Linux.
QtiPlot provides a wide range of features for interactive scientific graphing and data analysis, including:
- 2D and 3D plotting with various plot types (line, scatter, bar, pie, contours, surfaces, etc.)
- Statistical analysis tools (histogram, correlations, ANOVA, t-test, etc.)
- Data fitting with built-in and user-defined models
- Data manipulation tools (smoothing, filtering, transformations, etc.)
- Support for importing/exporting data in various formats
- Python scripting and plugin support for customization and automation
- Multi-language user interface
Its graphical capabilities, analysis tools, and scripting features make QtiPlot well-suited for researchers, engineers, students, and other technical users to visualize, analyze, and process measurement and simulation data.
QtiPlot Features
Features
- 2D and 3D plotting
- Statistical analysis tools
- Curve fitting
- Data manipulation
- Python scripting support
Pricing
- Open Source
Pros
Free and open source
Cross-platform availability
Powerful data visualization and analysis capabilities
Support for custom Python scripts
Large user community and documentation
Cons
Limited compared to proprietary alternatives like Origin
Steep learning curve
Less polished user interface
Lacks some advanced analysis features
Official Links
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