CVXOPT vs. NumPy Comparison


CVXOPT	NumPy
Learn More about CVXOPT Update Features for CVXOPT	Learn More about NumPy Update Features for NumPy	Add To Compare	Add To Compare

CVXOPT	NumPy
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CVXOPT: About CVXOPT is a free software package for convex optimization based on the Python programming language. It can be used with the interactive Python interpreter, on the command line by executing Python scripts, or integrated in other software via Python extension modules. Its main purpose is to make the development of software for convex optimization applications straightforward by building on Python’s extensive standard library and on the strengths of Python as a high-level programming language. Efficient Python classes for dense and sparse matrices (real and complex), with Python indexing and slicing and overloaded operations for matrix arithmetic. Interfaces to the linear programming solver in GLPK, the semidefinite programming solver in DSDP5, and the linear, quadratic and second-order cone programming solvers in MOSEK.	NumPy: 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.
CVXOPT: 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	NumPy: 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
CVXOPT: Audience Component Library solution for developers	NumPy: Audience Component Library solution for DevOps teams
CVXOPT: Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	NumPy: Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
CVXOPT: API Offers API Not Supported	NumPy: API Offers API Supported
CVXOPT: Screenshots and Videos View more images or videos	NumPy: Screenshots and Videos View more images or videos
CVXOPT: Pricing Free Free Version Supported Free Trial Not Supported	NumPy: Pricing Free Free Version Supported Free Trial Not Supported
CVXOPT: 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	NumPy: 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

CVXOPT: Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	NumPy: Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
CVXOPT: Company Information CVXOPT cvxopt.org	NumPy: Company Information NumPy numpy.org
CVXOPT: Alternatives Solver SDK Frontline Systems	NumPy: Alternatives Polars
CVXOPT: NumPy	NumPy: h5py HDF5
CVXOPT: Python 5.0 out of 5 stars	NumPy: broot
CVXOPT: Artelys Knitro Artelys	NumPy: PyQtGraph
CVXOPT: pygame View All	NumPy: Dask View All
CVXOPT: Categories Component Libraries Supported	NumPy: Categories Component Libraries Supported

CVXOPT: Integrations 3LC Not Supported Avanzai Not Supported Codédex Not Supported Coiled Not Supported Dash Not Supported Flower Not Supported Gensim Not Supported JAX Not Supported MPI for Python (mpi4py) Not Supported NVIDIA FLARE Not Supported PyCharm Not Supported Spyder Not Supported Train in Data Not Supported Unify AI Not Supported Visual Studio Code Not Supported Yamak.ai Not Supported Yandex Data Proc Not Supported h5py Not Supported imageio Not Supported scikit-learn Not Supported Show More Integrations	NumPy: Integrations 3LC Supported Avanzai Supported Codédex Supported Coiled Supported Dash Supported Flower Supported Gensim Supported JAX Supported MPI for Python (mpi4py) Supported NVIDIA FLARE Supported PyCharm Supported Spyder Supported Train in Data Supported Unify AI Supported Visual Studio Code Supported Yamak.ai Supported Yandex Data Proc Supported h5py Supported imageio Supported scikit-learn Supported Show More Integrations View All 22 Integrations
CVXOPT: Claim CVXOPT and update features and information Claim CVXOPT and update features and information	NumPy: Claim NumPy and update features and information Claim NumPy and update features and information