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Description

CVXOPT is an open-source software library designed for convex optimization, leveraging the capabilities of the Python programming language. Users can interact with it through the Python interpreter, execute scripts from the command line, or incorporate it into other applications as Python extension modules. The primary goal of CVXOPT is to facilitate the development of convex optimization software by utilizing Python's rich standard library and the inherent advantages of Python as a high-level programming tool. It provides efficient Python classes for both dense and sparse matrices, supporting real and complex numbers, along with features like indexing, slicing, and overloaded operations for performing matrix arithmetic. Additionally, CVXOPT includes interfaces to various solvers, such as the linear programming solver in GLPK, the semidefinite programming solver in DSDP5, and solvers for linear, quadratic, and second-order cone programming available in MOSEK, making it a versatile tool for researchers and developers in the field of optimization. This comprehensive set of features enhances its utility in tackling a wide range of optimization problems.

Description

Mako offers a user-friendly, non-XML syntax that compiles into Python modules, ensuring optimal performance. Its syntax and API draw inspiration from various sources, such as Django, Jinja2, Cheetah, Myghty, and Genshi, integrating the best elements from each. At its core, Mako functions as an embedded Python language (akin to Python Server Pages), enhancing conventional concepts of componentized layout and inheritance to create a highly efficient and adaptable model. This design maintains a close relationship with Python's calling and scoping semantics, allowing for seamless integration. Since templates are ultimately compiled into Python bytecode, Mako's methodology is remarkably efficient, having been designed to match the speed of Cheetah initially. Presently, Mako's performance is nearly on par with Jinja2, which employs a similar technique and was influenced by Mako. Furthermore, it can access variables from both its enclosing scope and the request context of the template, providing additional flexibility for developers. This capability allows for greater dynamic content generation in web applications.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Coverage.py No 
Django No 
New Relic No 
Python No 
SmartPOS by Petrosoft No 

Integrations

Coverage.py Yes 
Django Yes 
New Relic Yes 
Python Yes 
SmartPOS by Petrosoft Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

CVXOPT

Website

cvxopt.org

Vendor Details

Company Name

Mako

Website

www.makotemplates.org

Product Features

Product Features

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