Racket vs. scikit-image Comparison


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About Racket is a general-purpose, multi-paradigm programming language that serves as a modern dialect of Lisp and a descendant of Scheme. It is designed as a platform for programming language design and implementation, enabling developers to create new domain-specific and general-purpose languages. Racket's core language includes features such as macros, modules, lexical closures, tail calls, delimited continuations, parameters (fluid variables), software contracts, green threads, and OS threads. The language also comes with primitives, such as event spaces and custodians, which control resource management and enable the language to act like an operating system for loading and managing other programs. Further extensions to the language are created with the powerful macro system, which, together with the module system and custom parsers, can control all aspects of a language. Most language constructs in Racket are implemented as macros in the base language.	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.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Programmers and educators looking for a programming language to improve scripting and computer science education	Audience Developers and professionals requiring a free solution offering algorithms for their image processing projects
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing Free Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Racket Language United States racket-lang.org	Company Information scikit-image United States scikit-image.org
Alternatives Common Lisp	Alternatives scikit-learn
Clojure	Pillow
Ring	Insight Toolkit (ITK) ITK
Oxygene RemObjects Software	Bokeh
Zig Zig Software Foundation View All	Dask View All
Categories Programming Languages Supported	Categories Image Processing API Supported

Integrations Akira AI Not Supported Apache NetBeans Supported BBEdit Supported Common Lisp Supported Cython Not Supported Eclipse IDE Supported Emacs Supported Helix Editor Supported Jupyter Notebook Supported Kate Supported Label Studio Not Supported MLReef Not Supported Neovim Supported PostgresML Not Supported Python Not Supported Scheme Supported Sublime Text Supported Vim Supported Yamak.ai Not Supported Yandex Data Proc Not Supported Show More Integrations View All 17 Integrations	Integrations Akira AI Supported Apache NetBeans Not Supported BBEdit Not Supported Common Lisp Not Supported Cython Supported Eclipse IDE Not Supported Emacs Not Supported Helix Editor Not Supported Jupyter Notebook Not Supported Kate Not Supported Label Studio Supported MLReef Supported Neovim Not Supported PostgresML Supported Python Supported Scheme Not Supported Sublime Text Not Supported Vim Not Supported Yamak.ai Supported Yandex Data Proc Supported Show More Integrations View All 9 Integrations
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