CuPy
CuPy is an open-source array library for GPU-accelerated computing with Python. CuPy utilizes CUDA Toolkit libraries including cuBLAS, cuRAND, cuSOLVER, cuSPARSE, cuFFT, cuDNN and NCCL to make full use of the GPU architecture.
CuPy Alternatives & Competitors
The best CuPy alternatives based on verified products, community votes, reviews and other factors.
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/matlab-alternativesA high-level language and interactive environment for numerical computation, visualization, and programming.
Key MATLAB features:
Versatility Built-in Functions User-Friendly Interface Excellent Visualization
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/scipy-alternativesSciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering. .
Key SciPy features:
Comprehensive Library Interoperability Active Community Open-source
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Try for free3D Cityplanner for smarter spatial design .
Key 3D Cityplanner features:
Comprehensive 3D Visualization and Design Integrated Financial and Sustainability Analysis Advanced Geodata Integration
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/julia-alternativesJulia is a sophisticated programming language designed especially for numerical computing with specializations in analysis and computational science. It is also efficient for web use, general programming, and can be used as a specification language.
Key Julia features:
High Performance Ease of Use Strong Support for Mathematical Computing Multiple Dispatch
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/r-lang-alternativesR is a free software environment for statistical computing and graphics.
Key R Lang features:
Comprehensive Statistical Analysis Extensive Package Ecosystem Data Visualization Strong Community Support
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/gnu-octave-alternativesGNU Octave is a programming language for scientific computing.
Key GNU Octave features:
Free and Open Source MATLAB Compatibility Extensive Documentation Flexible Integration
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/sage-math-alternativesSage is a free open-source mathematics software system licensed under the GPL.
Key Sage Math features:
Open Source Comprehensive Toolset Python-Based Active Community
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/wolfram-mathematica-alternatives
Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.
Key Wolfram Mathematica features:
Comprehensive Functionality High-Level Programming Language Integrated System Strong Community & Support
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/scilab-alternativesScilab Official Website. Enter your search in the box aboveAbout ScilabScilab is free and open source software for numerical . Thanks for downloading Scilab!
Key Scilab features:
Open Source Extensive Mathematical Functionality Toolboxes and Modules Cross-Platform Support
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/anaconda-alternativesAnaconda is the leading open data science platform powered by Python.
Key Anaconda features:
Comprehensive Distribution Package Management Environment Management Jupyter Notebooks Integration
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/spyder-alternativesThe Scientific Python Development Environment.
Key Spyder features:
Integrated Development Environment (IDE) Interactive Console Variable Explorer Integrated Debugger
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/numpy-alternativesNumPy is the fundamental package for scientific computing with Python.
Key NumPy features:
Performance Versatility Ease of Use Community Support
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/python-package-index-alternativesA repository of software for the Python programming language.
Key Python Package Index features:
Extensive Library Collection Ease of Use Community Support Regular Updates
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/chapel-alternativesChapel is a programming language designed for productive parallel computing at scale.
