Enthought

Enthought

Enthought is a Python-centered software company that provides tools and solutions for scientific computing, data analytics, and machine learning. Their flagship product is the Enthought Deployment Manager, which allows deployment of Python environments across an organization.
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python data-science analytics deployment

Enthought: Python-Centered Software for Scientific Computing

A software company providing tools and solutions for scientific computing, data analytics, and machine learning, with a flagship product for deploying Python environments across organizations.

What is Enthought?

Enthought is a software company founded in 2001 that focuses on developing Python solutions for scientific and analytic computing. Their products and services center around enabling organizations to build and deploy robust Python environments for data science, machine learning, and scientific computing.

Enthought's flagship product is the Enthought Deployment Manager, which allows companies to create reproducible Python environments that can be deployed across an organization on different platforms like desktops, HPC infrastructure, and the cloud. EDM provides dependency management, automation capabilities, access control, and other features to streamline Python environment management.

Other major Enthought products include:

  • Enthought Canopy - Python analysis environment with hundreds of included packages
  • Enthought Training - Python and data science course curriculum
  • Enthought Partner Labs - Services and support for building custom Python solutions

Key focus industries for Enthought include financial services, oil and gas, pharmaceutical, manufacturing, and aerospace. Their solutions emphasize reproducible environments, regulatory compliance, and performance at scale.

Enthought Features

Features

  1. Enthought Deployment Manager for deploying Python environments
  2. Canopy Python distribution with scientific and analytic packages
  3. Training and support services for Python and data science
  4. Platform for building and deploying analytics web applications

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Eases Python environment management and deployment

Comes with many pre-installed scientific and data science packages

Good technical support available

Integrated web framework for building analytics apps

Cons

Expensive licensing costs

Limited free offering compared to open source options

Less flexibility than rolling your own Python environment

Web framework not as full-featured as Django or Flask


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