About
Component Pascal is a general-purpose language in the tradition of Pascal, Modula-2, and Oberon. Its most important features are block structure, modularity, separate compilation, static typing with strong type checking (also across module boundaries), type extension with methods, dynamic loading of modules, and garbage collection. Type extension makes Component Pascal an object-oriented language. An object is a variable of an abstract data type consisting of private data (its state) and procedures that operate on this data. Abstract data types are declared as extensible records. Component Pascal covers most terms of object-oriented languages by the established vocabulary of imperative languages in order to minimize the number of notions for similar concepts. Complete type safety and the requirement of a dynamic object model make Component Pascal a component-oriented language.
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About
The new generation Pascal programming language combines the simplicity of classic Pascal, a great number of modern extensions, and the broad capabilities of Microsoft .NET Framework. Free, simple, and powerful IDE. Built-in form designer for rapid development of Windows desktop applications. Download the latest version of PascalABC.NET with a build-in form designer. Several extensions of the Pascal language, including the foreach operator, in-block variable definitions, auto type deduction in variable definitions, simplified syntax of units, method implementations inside classes and records, a new operator for object construction, anonymous classes, auto-classes, BigIntegers, etc. The most modern features of programming languages like n-dimensional dynamic arrays, generics, interfaces, operator overloading, exceptions, garbage collection, and lambda expressions. IDE with integrated debugger, IntelliSense system, code templates, and code auto-formatting.
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About
scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. scikit-image provides a versatile set of image processing routines in Python. This library is developed by its community, and contributions are most welcome! scikit-image aims to be the reference library for scientific image analysis in Python. We accomplish this by being easy to use and install. We are careful in taking on new dependencies, and sometimes cull existing ones, or make them optional. All functions in our API have thorough docstrings clarifying expected inputs and outputs. Conceptually identical arguments have the same name and position in a function signature. Test coverage is close to 100% and code is reviewed by at least two core developers before being included in the library.
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About
A simple command-line tool to collect test coverage information from Dart VM tests. It is useful if you need to generate coverage reports locally during development.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Programmers searching for a complete Programming Language solution
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Audience
Companies and individuals in search of a solution to develop Windows desktop applications
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Audience
Developers and professionals requiring a free solution offering algorithms for their image processing projects
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Audience
Developers in need of a powerful Code Coverage solution
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationComponent Pascal
Founded: 1997
blackboxframework.org/index.php
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Company InformationPascalABC.NET
pascalabc.net/en/
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Company Informationscikit-image
United States
scikit-image.org
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Company Informationpub.dev
pub.dev/packages/test_coverage
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Integrations
.NET
Akira AI
C++Builder
Codecov
Coveralls
Cython
Dart
Git
GitHub
IntelliSense
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Integrations
.NET
Akira AI
C++Builder
Codecov
Coveralls
Cython
Dart
Git
GitHub
IntelliSense
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Integrations
.NET
Akira AI
C++Builder
Codecov
Coveralls
Cython
Dart
Git
GitHub
IntelliSense
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Integrations
.NET
Akira AI
C++Builder
Codecov
Coveralls
Cython
Dart
Git
GitHub
IntelliSense
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