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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Virtual Machine Platforms And Containers
  5. Docker vs virtualenv

Docker vs virtualenv

OverviewComparisonAlternatives

Overview

Docker
Docker
Stacks194.2K
Followers143.8K
Votes3.9K
virtualenv
virtualenv
Stacks175
Followers3
Votes0

Docker vs virtualenv: What are the differences?

Introduction

When it comes to managing dependencies and creating isolated environments for applications, Docker and virtualenv are two popular tools used in the software development process. While they both serve similar purposes, there are key differences that developers need to consider when deciding which tool to use.

  1. Isolation: One of the main differences between Docker and virtualenv is the level of isolation they provide. Docker containers encapsulate the entire runtime environment, including the operating system, libraries, and dependencies, making them more isolated and self-contained. On the other hand, virtualenv creates isolated Python environments within the same operating system, allowing for separate installations of Python packages but not separating the entire runtime environment.

  2. Resource Overhead: Docker containers have a higher resource overhead compared to virtualenv environments. Each Docker container includes its own OS kernel, which can consume more disk space and memory. In contrast, virtualenv environments share the host OS kernel, resulting in less resource consumption.

  3. Portability: Docker containers are more portable than virtualenv environments. Docker images can be easily shared and run on different machines, regardless of the host OS. Virtualenv environments are specific to the host operating system and may encounter compatibility issues when transferred between systems.

  4. Microservices: Docker is commonly used for deploying microservices, as each service can be containerized and managed independently. Virtualenv is more suitable for managing Python dependencies within a single monolithic application, as it creates isolated environments at the Python package level.

  5. Networking: Docker containers have their own IP address and network interface, allowing for easier network communication between containers. Virtualenv environments rely on the host OS networking configuration, which may require additional setup for inter-environment communication.

  6. Security: Due to its encapsulation of the entire runtime environment, Docker provides better security isolation between containers. Virtualenv environments share the same OS environment, which may lead to security vulnerabilities if one environment is compromised.

In Summary, Docker offers stronger isolation, portability, and container management capabilities, making it ideal for deploying microservices, while virtualenv is more lightweight and suitable for managing Python dependencies within a single application.

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Detailed Comparison

Docker
Docker
virtualenv
virtualenv

The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere

Helping to avoid python binaries conflicts by using project-level environment with needed python binaries

Integrated developer tools; open, portable images; shareable, reusable apps; framework-aware builds; standardized templates; multi-environment support; remote registry management; simple setup for Docker and Kubernetes; certified Kubernetes; application templates; enterprise controls; secure software supply chain; industry-leading container runtime; image scanning; access controls; image signing; caching and mirroring; image lifecycle; policy-based image promotion
-
Statistics
Stacks
194.2K
Stacks
175
Followers
143.8K
Followers
3
Votes
3.9K
Votes
0
Pros & Cons
Pros
  • 823
    Rapid integration and build up
  • 692
    Isolation
  • 521
    Open source
  • 505
    Testa­bil­i­ty and re­pro­ducibil­i­ty
  • 460
    Lightweight
Cons
  • 8
    New versions == broken features
  • 6
    Documentation not always in sync
  • 6
    Unreliable networking
  • 4
    Moves quickly
  • 3
    Not Secure
No community feedback yet
Integrations
Java
Java
Docker Compose
Docker Compose
VirtualBox
VirtualBox
Linux
Linux
Amazon EC2 Container Service
Amazon EC2 Container Service
Docker Swarm
Docker Swarm
boot2docker
boot2docker
Kubernetes
Kubernetes
Docker Machine
Docker Machine
Vagrant
Vagrant
No integrations available

What are some alternatives to Docker, virtualenv?

LXD

LXD

LXD isn't a rewrite of LXC, in fact it's building on top of LXC to provide a new, better user experience. Under the hood, LXD uses LXC through liblxc and its Go binding to create and manage the containers. It's basically an alternative to LXC's tools and distribution template system with the added features that come from being controllable over the network.

LXC

LXC

LXC is a userspace interface for the Linux kernel containment features. Through a powerful API and simple tools, it lets Linux users easily create and manage system or application containers.

rkt

rkt

Rocket is a cli for running App Containers. The goal of rocket is to be composable, secure, and fast.

Vagrant Cloud

Vagrant Cloud

Vagrant Cloud pairs with Vagrant to enable access, insight and collaboration across teams, as well as to bring exposure to community contributions and development environments.

Studio 3T

Studio 3T

It's the only MongoDB tool that provides three ways to explore data alongside powerful features like query autocompletion, polyglot code generation, a stage-by-stage aggregation query builder, import and export, SQL query support and more.

OpenVZ

OpenVZ

Virtuozzo leverages OpenVZ as its core of a virtualization solution offered by Virtuozzo company. Virtuozzo is optimized for hosters and offers hypervisor (VMs in addition to containers), distributed cloud storage, dedicated support, management tools, and easy installation.

SmartOS

SmartOS

It combines the capabilities you get from a lightweight container OS, optimized to deliver containers, with the robust security, networking and storage capabilities you’ve come to expect and depend on from a hardware hypervisor.

Clear Containers

Clear Containers

We set out to build Clear Containers by leveraging the isolation of virtual-machine technology along with the deployment benefits of containers. As part of this, we let go of the "generic PC hardware" notion traditionally associated with virtual machines; we're not going to pretend to be a standard PC that is compatible with just about any OS on the planet.

Flatpak

Flatpak

It is a next-generation technology for building and distributing desktop applications on Linux

Lima

Lima

It launches Linux virtual machines with automatic file sharing, port forwarding, and containerd. It can be considered as some sort of unofficial "macOS subsystem for Linux", or "containerd for Mac". It is expected to be used on macOS hosts, but can be used on Linux hosts as well. It may work on NetBSD and Windows hosts as well.

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