SageMath vs Enthought

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

SageMath is a Education & Reference solution with tags like algebra, analysis, calculus, combinatorics, geometry, number-theory, research, teaching.

It boasts features such as Open-source mathematical software system, Supports various mathematical domains like algebra, calculus, combinatorics, numerical computation, Includes libraries like NumPy, SciPy, SymPy, Matplotlib, Interactive notebook interface (Sage Notebook) for calculations, plotting, documentation, Supports code in Python, Cython, C/C++, Fortran and more, Can be used as a server to collaborate with others and pros including Free and open source, Very extensive math functionality, Integrates many existing math libraries, Can be extended by writing new modules, Notebook interface good for learning and documentation.

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.

SageMath

SageMath

SageMath is an open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages including NumPy, SciPy, matplotlib, Sympy, and more. It provides an interactive environment and library to support research and teaching across algebra, analysis, calculus, combinatorics, geometry, number theory, and more.

Categories:
algebra analysis calculus combinatorics geometry number-theory research teaching

SageMath Features

  1. Open-source mathematical software system
  2. Supports various mathematical domains like algebra, calculus, combinatorics, numerical computation
  3. Includes libraries like NumPy, SciPy, SymPy, Matplotlib
  4. Interactive notebook interface (Sage Notebook) for calculations, plotting, documentation
  5. Supports code in Python, Cython, C/C++, Fortran and more
  6. Can be used as a server to collaborate with others

Pricing

  • Open Source

Pros

Free and open source

Very extensive math functionality

Integrates many existing math libraries

Can be extended by writing new modules

Notebook interface good for learning and documentation

Cons

Less user friendly than some commercial alternatives

Not as fast as optimized commercial math software

Requires more programming knowledge than some alternatives

Documentation can be technical

Not as polished UI as some alternatives


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:
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