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.
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
Reviews & Ratings
Login to ReviewThe Best QtiPlot Alternatives
View all QtiPlot alternatives with detailed comparison →
Top Science & Engineering and Data Analysis and other similar apps like QtiPlot
OriginPro
OriginPro is a powerful data analysis and graphing software designed for scientists, engineers, and analysts across various industries. It is developed by OriginLab Corporation for analyzing, graphing, and presenting scientific data.Some of the key features of OriginPro include:An extensive selection of analysis tools like peak analysis, surface fitting, statistics, signal...
SigmaPlot
SigmaPlot is a comprehensive graphing and data analysis software designed for scientists and engineers across various industries. It enables users to easily visualize data, perform statistical analysis, and produce high-quality graphs and figures for publications, presentations, and reports.Key features of SigmaPlot include:Intuitive and customizable graphing interface to create 2D and...
NumeRe
NumeRe is an open-source platform for numerical computing, data analysis, and scientific visualization. It provides a MATLAB-like environment and programming language focused on matrix operations, linear algebra routines, statistical analysis, and plotting. Some key features of NumeRe include:Fast vector/matrix math operations through integration of BLAS and LAPACK librariesA high-level scripting...
DataMelt
DataMelt is an open-source data analysis and visualization application aimed at scientists, engineers and students. It allows importing, cleaning, transforming, analyzing, visualizing and publishing scientific data with an intuitive graphical workflow editor interface.Some of its key features include:Import data from various sources like CSV, Excel, databases, APIs, etc.Clean, filter, merge,...
SciDaVis
SciDaVis is a cross-platform computer program for numerical analysis and data visualization. It is designed to be compatible with OriginLab Origin software in terms of analysis capabilities and interface, while being free and open-source.Some key features of SciDaVis include:Interactive 2D and 3D plotting from imported dataA wide variety of 2D...
Veusz
Veusz is an open-source application designed for interactive plotting and graphing of scientific data. It can generate a wide variety of 2D and 3D plots including line plots, scatter plots, histograms, contour plots, vector fields, bar charts, maps and more.Some key features of Veusz include:Intuitive graphical user interface for interactive...
DPlot
DPlot is an open-source, cross-platform application designed for interactive scientific data visualization and analysis. It features a user-friendly graphical interface that allows users to easily create 2D and 3D plots, fit data to both linear and non-linear models, perform statistical analysis, and customize graph attributes.Some key features of DPlot include:Support...
Aveloy Graph
Aveloy Graph is a no-code business intelligence analytics and visualization software for building interactive dashboards. It provides an intuitive way for users of all skill levels to visualize data and create shareable analytics.With Aveloy Graph, users can connect data from multiple sources including MySQL, PostgreSQL, MongoDB, Excel, CSV files, and...
IGOR Pro
IGOR Pro is a powerful data analysis and visualization software application developed by WaveMetrics. It uses an object-oriented approach, allowing users to analyze and process data interactively through a drag-and-drop workflow interface.Some key features of IGOR Pro include:Interactive 2D and 3D scientific graphing and publication-quality plottingA wide range of analysis...
LabPlot
LabPlot is a free, open source and cross-platform data visualization and analysis software aimed primarily at the education sector. It allows users to create 2D and 3D plots, analyze data statistically, fit functions to data points, manipulate data sets and organize them in a spreadsheet-like interface.Some of the key features...
JHepWork
jHepWork is an open-source data analysis framework written in Java that focuses on interactive data analysis and visualization of scientific data. It is developed by the University of Belgrade and CERN.Some key features of jHepWork include:An integrated Python interpreter that allows combining Java and Python code.A workflow system that enables...
