PortableWinPy vs Devilbox

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

PortableWinPy is a Development solution with tags like python, portable, data-analysis, machine-learning, scientific-computing.

It boasts features such as Portable Python distribution for Windows, Bundled with popular Python scientific libraries and tools, Convenient for data analysis, machine learning, and scientific computing, Self-contained and can be run from a USB drive or removable storage, Includes Python interpreter, standard library, and selected third-party packages, Supports both 32-bit and 64-bit Windows systems and pros including Portable and can be used on any Windows system without installation, Comes with a curated set of scientific and data-related Python packages, Eliminates the need for manual package installation on each system, Allows for easy deployment and distribution of Python-based projects, Maintains a consistent Python environment across different machines.

On the other hand, Devilbox is a Development product tagged with php, mysql, nginx, docker.

Its standout features include Support for multiple PHP versions, Support for popular frameworks like Laravel, Symfony, etc, Built-in MySQL, PostgreSQL and Redis databases, Customizable configuration, Virtual host support, Email catch-all, Intranet and DNS server, Centralized log files, and it shines with pros like Easy to setup, Good for local development and testing, Switch PHP versions easily, Simulate production environment locally.

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.

PortableWinPy

PortableWinPy

PortableWinPy is a portable distribution of the Python programming language for Windows. It comes bundled with popular Python scientific libraries and tools, making it convenient for data analysis, machine learning, and scientific computing on the go.

Categories:
python portable data-analysis machine-learning scientific-computing

PortableWinPy Features

  1. Portable Python distribution for Windows
  2. Bundled with popular Python scientific libraries and tools
  3. Convenient for data analysis, machine learning, and scientific computing
  4. Self-contained and can be run from a USB drive or removable storage
  5. Includes Python interpreter, standard library, and selected third-party packages
  6. Supports both 32-bit and 64-bit Windows systems

Pricing

  • Free

Pros

Portable and can be used on any Windows system without installation

Comes with a curated set of scientific and data-related Python packages

Eliminates the need for manual package installation on each system

Allows for easy deployment and distribution of Python-based projects

Maintains a consistent Python environment across different machines

Cons

May not include the latest versions of all packages

Limited customization options compared to a full Python installation

Requires Windows operating system, not available for other platforms

Potentially larger file size compared to a minimal Python installation


Devilbox

Devilbox

Devilbox is an open source LAMP/MEAN stack for developers. It allows you to easily switch between PHP versions and setup virtual hosts on your local machine for web development.

Categories:
php mysql nginx docker

Devilbox Features

  1. Support for multiple PHP versions
  2. Support for popular frameworks like Laravel, Symfony, etc
  3. Built-in MySQL, PostgreSQL and Redis databases
  4. Customizable configuration
  5. Virtual host support
  6. Email catch-all
  7. Intranet and DNS server
  8. Centralized log files

Pricing

  • Open Source

Pros

Easy to setup

Good for local development and testing

Switch PHP versions easily

Simulate production environment locally

Cons

Can have a steep learning curve for beginners

No official support offered

Requires Docker to be installed