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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 You have the flexibility to work in Python, R, or Julia, and by transitioning from outdated per-seat license software to Dash Enterprise's unlimited end-user pricing model, you can significantly cut costs.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 NumPy?

Quick and versatile, the principles of vectorization, indexing, and broadcasting in NumPy have established themselves as the standard for modern array computations. This robust library offers a comprehensive suite of mathematical functions, random number generation tools, linear algebra operations, Fourier transformations, and much more. NumPy's compatibility with a wide range of hardware and computing platforms allows it to work effortlessly with distributed systems, GPU libraries, and sparse array structures. At its foundation, NumPy is constructed with highly optimized C code, enabling users to benefit from the speed typical of compiled languages while still enjoying the flexibility provided by Python. The intuitive syntax of NumPy enhances its user-friendliness and efficiency for programmers of all levels and expertise. By merging the computational power of languages such as C and Fortran with Python’s approachability, NumPy streamlines complex processes, leading to solutions that are both clear and elegant. As a result, this library equips users to confidently and easily address a diverse array of numerical challenges, making it an essential tool in the world of data science and numerical analysis. Furthermore, the active community around NumPy continuously contributes to its development, ensuring that it remains relevant and powerful in the face of evolving computational needs.

Media

Media

Integrations Supported

Comet
Lyftrondata
Make
NVIDIA RAPIDS
OpenMemory
R
ThinkData Works
Voxel51
data.world
navio

Integrations Supported

Cython
Dash
Flower
NVIDIA FLARE
PaizaCloud
PyCharm
Unify AI
Visual Studio Code
Yamak.ai
scikit-learn

API Availability

API Availability

Has API

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

NumPy

Company Website

numpy.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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