Qwt

by Uwe Rathmann, Josef Wilgen

Qwt is an open-source library for creating scientific plotting and data visualization applications.

Operating system: Windows

Publisher: Uwe Rathmann, Josef Wilgen

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Qwt is an open source library for developing professional applications with graphical user interfaces. It provides a comprehensive set of widgets and layout options to quickly create user interfaces that look great and are easy to use.

Qwt is designed to provide a comprehensive set of features that cover the full range of UI requirements. From simple buttons and sliders to complex data visualizations, Qwt has you covered.

Qwt allows developers to quickly create feature-rich graphical user interfaces with advanced plotting capabilities.
Features:

- Widgets: Qwt provides a wide range of widgets for developing user interfaces, including buttons, sliders, checkboxes, radio buttons, and more.

- Layouts: Qwt provides a variety of layout options, such as grids, frames, and tabular layouts, to help you quickly and easily organize your UI.

- Data Visualization: Qwt provides powerful tools for creating data visualizations, such as line and bar graphs, pie charts, and more.

- Customization: Qwt provides extensive customization options for widgets, layouts, and data visualizations, so you can tailor your UI to your exact needs.

- Tooltips: Qwt provides tooltips for widgets, so users can easily view additional information about a widget without having to open a separate window.

- Themes: Qwt provides a variety of themes to make it easier to customize your UI and create a unique look.

- Internationalization: Qwt supports internationalization, so you can create user interfaces in multiple languages.

- Documentation: Qwt comes with comprehensive documentation to help you get up and running quickly.

- Support: Qwt offers a wide range of support options, including forum, mailing list, and IRC.
Qwt is a software library for the Qt GUI application framework. It is written in C++ and uses the Qt library. It has no specific software requirements, however a Qt installation is necessary in order to build and use the library. Additionally, a C++ compiler is required for compilation.

PROS
Provides a wide array of options for 2-D and 3-D graphics.
Highly customizable, adapted for individual needs.
Open-source software with a large community support.

CONS
Steep learning curve for beginners.
Lack of comprehensive documentation.
Outdated user interface.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Finn T.
Qwt is a library for graphical applications that provides a wide array of plotting and graphing options. It is easy to install and use and can be integrated into an existing program quickly. The documentation is comprehensive and helpful for getting started. It is possible to create complex plots with Qwt and the plotting functions are intuitive. The library also offers various features for customizing the look of the plots. Overall, it is a great library for plotting and visualization.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Theo D.
Qwt was an invaluble tool for me for creating visualizations for my data, but the interface could have been more intuative and user-frienldy.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Jayden Greenough
This software provides a set of C++ classes and functions for creating and displaying graphs and plots. It offers various types of plots, including bar, curve, and scatter plots, and supports customization of plot appearance and behavior. Qwt also includes advanced features such as zooming, panning, and data manipulation, making it a useful tool for data visualization applications.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Alexander B*******o
Qwt software is a powerful and flexible tool for creating graphical user interfaces and data visualization in C++.
image/svg+xmlBotttsPablo Stanleyhttps://bottts.com/Florian Körner Kai
Feature-rich, supports advanced scientific plotting and visualization.
Daniel
Graphs and charts for data visualization, great for plotting.
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