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Ansible VS pip

Compare Ansible VS pip and see what are their differences

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Ansible logo Ansible

Radically simple configuration-management, application deployment, task-execution, and multi-node orchestration engine

pip logo pip

The PyPA recommended tool for installing Python packages.
  • Ansible Landing page
    Landing page //
    2023-02-05
  • pip Landing page
    Landing page //
    2023-08-23

Ansible features and specs

  • Agentless
    Ansible is agentless, meaning it doesn't require any software to be installed on the remote nodes. This simplifies management and reduces overhead.
  • Ease of Use
    Ansible uses a simple, easy-to-read YAML syntax for its playbooks, reducing the learning curve and making it accessible to those without extensive programming experience.
  • Scalability
    Ansible is designed to handle large-scale deployments, making it suitable for managing numerous machines or services efficiently.
  • Extensive Modules
    Ansible has a rich library of modules that support a wide variety of system tasks, cloud providers, and application deployments, offering great versatility.
  • Strong Community
    There is a large and active Ansible community that contributes to its development and provides support, which can be valuable for troubleshooting and learning best practices.
  • Idempotency
    Tasks in Ansible are idempotent, meaning they can be run multiple times without changing the system beyond the intended final state, ensuring reliable deployments.

Possible disadvantages of Ansible

  • Performance Overhead
    Being agentless, Ansible relies on SSH for communication with nodes, which can add performance overhead, especially when managing a large number of hosts.
  • Limited Windows Support
    Ansible's core is primarily designed for Unix-like systems, and while there is support for Windows, it's not as robust or as seamless as it is for Unix/Linux systems.
  • Lack of Built-in Error Handling
    Ansible's error handling is somewhat rudimentary out-of-the-box. Complex error handling scenarios often require custom solutions, which can complicate playbooks.
  • Learning Curve for Complex Scenarios
    While simple tasks are easy to set up, more complex configurations can become challenging quickly and may require a deep understanding of Ansible's modules and templating.
  • Reliance on YAML
    The use of YAML, while human-readable, can be prone to syntax errors such as incorrect indentation, which can potentially lead to hard-to-track-down bugs.
  • Dependency on Python
    Ansible requires Python to be installed on managed nodes. This could be an issue in environments where it's not feasible or desired to have Python installed.

pip features and specs

  • Ease of Use
    pip is straightforward to use with simple command-line instructions for installing and managing Python packages.
  • Wide Adoption
    pip is the standard package manager for Python, widely adopted and supported across platforms, ensuring reliability and community support.
  • Dependency Management
    pip automatically handles package dependencies, downloading and installing them alongside the desired package.
  • Integration with PyPI
    pip seamlessly integrates with the Python Package Index (PyPI), giving access to thousands of packages.
  • Virtual Environment Support
    pip works well with virtual environments, allowing users to manage packages in isolated Python environments.

Possible disadvantages of pip

  • Limited Advanced Features
    pip focuses on simplicity and may lack some advanced package management features found in more sophisticated tools.
  • Version Conflicts
    While pip handles dependencies, it can sometimes lead to version conflicts when two packages require different versions of the same dependency.
  • Lack of System Package Awareness
    pip does not interact with system package managers, which can lead to situations where packages are duplicated or out of sync.
  • Performance with Large Projects
    Managing dependencies in large-scale projects can become cumbersome with pip, as it wasn't initially designed for such complex environments.

Analysis of Ansible

Overall verdict

  • Ansible is a powerful and versatile tool for automation, suited to a variety of use cases, from configuration management to application deployment. Its simplicity, flexibility, and broad community support make it a popular choice among DevOps professionals.

Why this product is good

  • Ansible is considered good because it is an open-source automation tool that is simple to set up and use. It uses a straightforward language (YAML) for its playbooks, which makes it accessible to both developers and IT operations. Ansible is agentless, meaning it connects to nodes using SSH, which simplifies management and enhances security. It also has strong community support and thorough documentation.

Recommended for

  • System administrators seeking to automate configuration management
  • DevOps teams looking to streamline application deployment processes
  • Organizations aiming to implement Infrastructure as Code (IaC)
  • IT professionals who prefer an agentless approach to automation
  • Teams interested in a tool with strong community support and extensive integrations

Analysis of pip

Overall verdict

  • Yes, pip is considered good because it is the de facto standard for package management in Python, offering ease of use, a large repository of packages, and regular updates and enhancements.

Why this product is good

  • pip is the package installer for Python and is widely used for installing and managing Python packages. It connects to Python Package Index (PyPI) to download and install libraries and their dependencies, making it an essential tool for Python developers. Its widespread use and support from the Python community ensure it remains a reliable choice for managing Python packages.

Recommended for

  • Python developers who need to manage project dependencies easily.
  • Anyone looking to install and update Python packages from PyPI.
  • Python programmers working in virtual environments to isolate dependencies.

Ansible videos

What Is Ansible? | How Ansible Works? | Ansible Tutorial For Beginners | DevOps Tools | Simplilearn

More videos:

  • Review - Automation with Ansible Playbooks | Review on Ansible Architecture
  • Review - Book Review : Mastering Ansible (Jesse Keating) by Zareef Ahmed

pip videos

PIP Lancets Review #pip #piplancetreview #diabetes

More videos:

  • Review - Filling out the PIP Review Form
  • Review - My Tips for Your Personal Independence Payment Review | Disability | PIP

Category Popularity

0-100% (relative to Ansible and pip)
DevOps Tools
100 100%
0% 0
Front End Package Manager
Continuous Integration
100 100%
0% 0
Package Manager
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Ansible and pip

Ansible Reviews

What Are The Best Alternatives To Ansible? | Attune, Jenkins &, etc.
To put it simply, Ansible automates a wide range of IT aspects that includes configuration management, application deployment, cloud provisioning, etc. Plus, while using Ansible, you can patch your application, automate deployments, and run compliances and governance on your application. You can easily manage it by using a web interface known as Ansible Tower. Furthermore,...
Best 8 Ansible Alternatives & equivalent in 2022
Ansible is a simple IT automation tool that is easy to deploy. It connects to your nodes and pushes out small programs called “Ansible modules” to those nodes. Then it executes these models over SSH and removes them when finished. The library of modules will reside on any machine, therefore there is no requirement for any servers and databases.
Source: www.guru99.com
Top 5 Ansible Alternatives in 2022: Server Automation Solutions by Alexander Fashakin on the 19th Aug 2021 facebook Linked In Twitter
Your project connects to Ansible through nodes called Ansible Modules. You can use these modules to manage your project. As an agentless architecture, Ansible allows you to run modules on any system or server. It doesn’t require client/server software or an agent to be installed. With Ansible, you can use Python Paramiko modules or SSH protocols.
Ansible vs Chef: What’s the Difference?
For Ansible, Simplilearn presents the Ansible Foundation Training Course. Ansible 2.0, a simple, popular, agent-free tool in the automation domain, helps increase team productivity and improve business outcomes. Learn with
Chef vs Puppet vs Ansible
Ansible supports considerable ease of learning for the management of configurations due to YAML as the foundation language. YAML (Yet Another Markup Language) is closely similar to English and is human-readable. The server can help in pushing configurations to all the nodes. The applications of Ansible are clearly suitable for real-time execution along with the facility of...

pip Reviews

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Social recommendations and mentions

Based on our record, pip should be more popular than Ansible. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Ansible mentions (9)

  • Mentorship Group
    We are open to practice using any open-source project, however, we want to set a sharp focus on projects maintained by the Red Hat, and our own projects in the Caravana Cloud organization on github. If there is no reason to do differently, we'll build using technologies such as OpenShift, Quarkus, Ansible and related projects. - Source: dev.to / almost 2 years ago
  • Observability Mythbusters: Yes, Observability-Landscape-as-Code is a Thing
    *Codifying the deployment of the OTel Collector *(to Nomad, Kubernetes, or a VM) using tools such as Terraform, Pulumi, or Ansible. The Collector funnels your OTel data to your Observability back-end. ✅. - Source: dev.to / almost 3 years ago
  • Maintenance mode - vmware.vmware_rest Ansible collection
    Most of what I've learnt today was purley from this blog and only because it's from ansible.com - dated now I guess ... Source: almost 3 years ago
  • Proactive Kubernetes Monitoring with Alerting
    I installed the helm release using Ansible, but you can install with the following helm commands:. - Source: dev.to / about 3 years ago
  • Cannot run a playbook in crontab - Python error
    [root@ansible ~]# pip show ansible Name: ansible Version: 2.9.25 Summary: Radically simple IT automation Home-page: https://ansible.com/ Author: Ansible, Inc. Author-email: info@ansible.com License: GPLv3+ Location: /usr/lib/python2.7/site-packagesRequires: jinja2, PyYAML, cryptography Required-by:. Source: over 3 years ago
View more

pip mentions (19)

  • PYMODINS
    Use the package manager pip to Install pymodins. - Source: dev.to / 10 months ago
  • How to build a new Harlequin adapter with Poetry
    To get the most out of this guide, you should have a basic understanding of virtual environments, Python packages and modules, and pip. Our objectives are to:. - Source: dev.to / 11 months ago
  • The ultimate guide to creating a secure Python package
    You need a build system to render the files you publish in the Python package. You can use a build frontend, such as pip, or a build backend, such as setuptools, Flit, Hatchling, or PDM. - Source: dev.to / about 1 year ago
  • Let’s build AI-tools with the help of AI and Typescript!
    Package installer for Python (pip), we use this for installing the Python-based packages, such as Jupyter Lab, and we're going to use this for installing other Python-based tools like the Chroma DB vector database. - Source: dev.to / about 1 year ago
  • GrandTourer – a CLI tool for easily launching applications on macOS
    Use the package manager pip to install GrandTourer. GrandTourer requires Python >=3.8. Source: over 1 year ago
View more

What are some alternatives?

When comparing Ansible and pip, you can also consider the following products

Chef - Automation for all of your technology. Overcome the complexity and rapidly ship your infrastructure and apps anywhere with automation.

Python Poetry - Python packaging and dependency manager.

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

Conda - Binary package manager with support for environments.

Puppet Enterprise - Get started with Puppet Enterprise, or upgrade or expand.

Python Package Index - A repository of software for the Python programming language