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A library and a GUI front-end for fuzzy machine learning
Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC or SQLite; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use.
The GNAVI project provides GWindows, a Rapid Application Development framework for Graphical User Interfaces on MS Windows.
The durable Open Source answer to Delphi and Visual Basic.
Alire crate: https://alire.ada.dev/crates/gwindows
Mirror: https://github.com/zertovitch/gwindows
The project Ada Bar Codes provides a framework for generating various types of bar codes (1D, or 2D, like QR codes) on different output formats and devices.
Alire crate: https://alire.ada.dev/crates/bar_codes
Mirror: https://github.com/zertovitch/ada-bar-codes
Gnoga uses modern web technologies to allow simple creation of cross platform GUIs for Ada with native or custom look and feels that perform on par to native toolsets locally and can be easily and securely remoted as web apps over the internet as well.
Agar provides a base GUI framework and a standard set of widgets from which graphical applications can be built which run natively under X11, Windows, MacOS, SDL and others. It takes advantage of texture and GPU acceleration wherever available. Agar can also attach to an existing framebuffer, SDL or OpenGL context and operate as a self-contained window-manager.
ColdFrame generates Ada framework code and documentation from UML models.
The project has now moved to Github (https://github.com/simonjwright/coldframe).
The software is issued under the GPL Version 2 with the following additional permission:
As a special exception, if other files instantiate generics from this unit, or you link this unit with other files to produce an executable, this unit does not by itself cause the resulting executable to be covered by the GNU General Public License. ...
Ahven is a simple unit testing framework for Ada 95 programming language. The source code is fully portable and works with any Ada 95 (and also Ada 2005) compiler.
SPARKUnit is a unit test framework for the SPARK programming language. It enables developers to create unit tests which can be analysed by the SPARK Examiner. This allows for testing of operations with preconditions and flow analysis of test cases.