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What is Plotly Dash?

Dash and Dash Enterprise empower users to create and distribute analytic web applications utilizing Python, R, or Julia, eliminating the need for JavaScript or DevOps expertise. Leading companies worldwide leverage AI, machine learning, and Python analytics, achieving remarkable results at a significantly lower expense compared to traditional full-stack development. Dash serves as their solution. Applications and dashboards capable of executing sophisticated analyses, including natural language processing, forecasting, and computer vision, can be efficiently delivered. You have the flexibility to work in Python, R, or Julia, and by transitioning from outdated per-seat license software to Dash Enterprise's unlimited end-user pricing model, you can significantly cut costs. Dash enables rapid deployment and updates of applications without requiring a dedicated IT or DevOps team. Furthermore, you can design visually stunning web apps and dashboards without any need for CSS coding. Kubernetes simplifies scaling processes, and the platform also ensures high availability for essential Python applications, making it an ideal choice for businesses looking to enhance their analytical capabilities. Overall, Dash and Dash Enterprise revolutionize the way organizations approach analytics and application development.

What is CVXOPT?

CVXOPT is a freely available software library tailored for convex optimization, built on the Python programming language's robust features. It allows users to engage with the library via the Python interpreter, run scripts directly from the command line, or integrate it as extension modules within other applications. The main purpose of CVXOPT is to streamline the creation of convex optimization software by capitalizing on Python’s extensive standard library and its strengths as a high-level programming language. The library offers efficient Python classes for handling both dense and sparse matrices, accommodating real and complex numbers, as well as functionalities like indexing, slicing, and operator overloading for matrix arithmetic. Furthermore, CVXOPT provides connections to a variety of solvers, including 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, which makes it a flexible resource for optimization professionals. This diverse array of capabilities significantly broadens its applicability to a multitude of optimization challenges. By enabling seamless integration with existing Python tools and libraries, CVXOPT empowers users to tackle complex optimization tasks with greater ease and efficiency.

Media

Media

Integrations Supported

Comet
F#
Julia
Kedro
Lyftrondata
MATLAB
Make
NVIDIA RAPIDS
OpenMemory
Python
R
Spotfire
Tableau
ThinkData Works
Voxel51
Zepl
data.world
navio
neptune.ai
skills.ai

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Windows

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Plotly

Date Founded

2013

Company Location

Canada

Company Website

plotly.com

Company Facts

Organization Name

CVXOPT

Company Website

cvxopt.org

Categories and Features

Component Libraries

Not specified

Data Science

Not specified

Data Visualization

Analytics
Dashboard Creation
Simulation Models

Embedded Analytics

Not specified

Categories and Features

Component Libraries

Not specified

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