QtiPlot 1.2.3

QtiPlot, developed by Ion Vasilief, is a sophisticated data analysis and scientific plotting software designed to cater to the needs of scientists, engineers, and students. This versatile tool stands out for its user-friendly interface, robust functionality, and cross-platform compatibility, making it an indispensable asset for anyone involved in data-intensive research and analysis.

One of the key strengths of QtiPlot is its comprehensive suite of features that facilitate detailed data manipulation and visualization. Users can effortlessly import data from various sources, including ASCII files, Excel spreadsheets, and databases. The software supports a wide range of plotting options, from 2D and 3D graphs to complex multi-layered plots, ensuring that users can present their data in the most effective and visually appealing manner.

QtiPlot's data analysis capabilities are equally impressive. It offers a rich set of tools for statistical analysis, curve fitting, and peak fitting, among others. The software's ability to handle nonlinear curve fitting with multiple functions and constraints is particularly noteworthy, providing users with the precision and flexibility needed for advanced data analysis.

The scripting environment in QtiPlot is another highlight, allowing users to automate repetitive tasks and customize their workflows. With support for Python and MuParser scripting languages, users can extend the software's functionality and integrate it seamlessly into their existing data analysis pipelines.

Moreover, QtiPlot is designed with collaboration in mind. Its project-based structure enables users to organize their work efficiently, and the ability to save projects in a portable format ensures that they can be easily shared and reproduced. This feature is particularly beneficial for academic and research settings, where collaboration and reproducibility are paramount.

Despite its powerful capabilities, QtiPlot remains accessible to users of all skill levels. The intuitive graphical user interface, coupled with comprehensive documentation and tutorials, ensures that even beginners can quickly get up to speed and start leveraging the software's full potential.

In summary, QtiPlot by Ion Vasilief is a robust, versatile, and user-friendly software solution for data analysis and scientific plotting. Its extensive feature set, combined with its ease of use and cross-platform compatibility, makes it an excellent choice for professionals and students alike who seek a reliable tool to enhance their data analysis and visualization efforts.

Release notes:

New Release
Implemented the possibility to copy/paste tables, matrices and notes between project windows.
Added drag and drop support for transfering tables, matrices and notes between project windows.
Added two more algorithms for 2D plots speed mode (Pro edition only): Max-Min and Largest Triangle Three Buckets (LTTB) algorithm.
Higly improved importing speed of *.tdms files from National Instruments.
Improved floating point precision when importing *.tdms files containing DAQmx data.
Improved setNumPyArrayValues() method from NumPy array interface: it now handles correctly all numerical data types, including datetime64 data, while previousely only double values were supported.
Bug fixes:
Fixed crash when trying to paste a project window that has been already closed.
Fixed 2D plot titles not being always aligned with the left side of the graph.
Fixed import of *.tdms files from National Instruments.
Fixed import of some *.org files from OriginLab.
[ QtiPlot full changelog ]