Anaconda vs Enthought

Struggling to choose between Anaconda and Enthought? Both products offer unique advantages, making it a tough decision.

Anaconda is a Ai Tools & Services solution with tags like python, data-science, machine-learning, deep-learning, analytics.

It boasts features such as Python and R distribution, Over 720 open source packages for data science, conda package and virtual environment manager, Spyder IDE for Python development, Jupyter notebook for interactive computing and data visualization and pros including Simplifies Python and R package management, Good for managing data science environments, Bundled with commonly used data science packages, Good for beginners getting started with Python/R for data science.

On the other hand, Enthought is a Ai Tools & Services product tagged with python, data-science, analytics, deployment.

Its standout features include Enthought Deployment Manager for deploying Python environments, Canopy Python distribution with scientific and analytic packages, Training and support services for Python and data science, Platform for building and deploying analytics web applications, and it shines with pros like 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.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Anaconda

Anaconda

Anaconda is an open source distribution of the Python and R programming languages for large-scale data processing, predictive analytics, and scientific computing. It aims to simplify package management and deployment.

Categories:
Ai Tools & Services Data Science
python data-science machine-learning deep-learning analytics

Anaconda Features

  1. Python and R distribution
  2. Over 720 open source packages for data science
  3. conda package and virtual environment manager
  4. Spyder IDE for Python development
  5. Jupyter notebook for interactive computing and data visualization

Pricing

  • Free
  • Open Source

Pros

Simplifies Python and R package management

Good for managing data science environments

Bundled with commonly used data science packages

Good for beginners getting started with Python/R for data science

Cons

Can cause dependency issues if not careful with environments

Large download size

Not ideal for deploying production environments

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.

Categories:
Ai Tools & Services Machine Learning
python data-science analytics deployment

Enthought 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