NumPy vs. PyQtGraph vs. Racket Comparison


NumPy	PyQtGraph	Racket Racket Language	+
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About Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.	About PyQtGraph is a pure-python graphics and GUI library built on PyQt/PySide and NumPy. It is intended for use in mathematics/scientific/engineering applications. Despite being written entirely in python, the library is very fast due to its heavy leverage of NumPy for number crunching and Qt's GraphicsView framework for fast display. PyQtGraph is distributed under the MIT open-source license. Basic 2D plotting in interactive view boxes. Line and scatter plots. Data can be panned/scaled by mouse. Fast drawing for real-time data display and interaction. Displays most data types (int or float; any bit depth; RGB, RGBA, or luminance). Functions for slicing multidimensional images at arbitrary angles (great for MRI data). Rapid update for video display or real-time interaction. Image display with interactive lookup tables and level control. Mesh rendering with isosurface generation. Interactive viewports rotate/zoom with mouse. Basic 3D scenegraph for easier programming.	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.
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	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 Component Library solution for DevOps teams	Audience Professional users interested in a solution offering scientific graphics and a GUI library for Python	Audience Programmers and educators looking for a programming language to improve scripting and computer science education
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing Free Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Not 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	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	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information NumPy numpy.org	Company Information PyQtGraph www.pyqtgraph.org	Company Information Racket Language United States racket-lang.org
Alternatives Polars	Alternatives NumPy	Alternatives Common Lisp
h5py HDF5	Bokeh	Clojure
broot	h5py HDF5	Ring
PyQtGraph	broot	Oxygene RemObjects Software
Dask View All	imageio View All	Zig Zig Software Foundation View All
Categories Component Libraries Supported	Categories Component Libraries Supported	Categories Programming Languages Supported

Integrations Apache NetBeans Not Supported Brackets Not Supported Cython Supported Dash Supported Eclipse IDE Not Supported Emacs Not Supported Geany Not Supported Gensim Supported Helix Editor Not Supported JAX Supported MPI for Python (mpi4py) Supported Notepad++ Not Supported PyCharm Supported Spyder Supported Unify AI Supported Vim Not Supported Visual Studio Code Supported Xcode Not Supported Yamak.ai Supported scikit-learn Supported Show More Integrations View All 22 Integrations	Integrations Apache NetBeans Not Supported Brackets Not Supported Cython Not Supported Dash Not Supported Eclipse IDE Not Supported Emacs Not Supported Geany Not Supported Gensim Not Supported Helix Editor Not Supported JAX Not Supported MPI for Python (mpi4py) Not Supported Notepad++ Not Supported PyCharm Not Supported Spyder Not Supported Unify AI Not Supported Vim Not Supported Visual Studio Code Not Supported Xcode Not Supported Yamak.ai Not Supported scikit-learn Not Supported Show More Integrations View All 1 Integration	Integrations Apache NetBeans Supported Brackets Supported Cython Not Supported Dash Not Supported Eclipse IDE Supported Emacs Supported Geany Supported Gensim Not Supported Helix Editor Supported JAX Not Supported MPI for Python (mpi4py) Not Supported Notepad++ Supported PyCharm Not Supported Spyder Not Supported Unify AI Not Supported Vim Supported Visual Studio Code Supported Xcode Supported Yamak.ai Not Supported scikit-learn Not Supported Show More Integrations View All 17 Integrations
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