Ansible VS pyinfra

Compare Ansible vs pyinfra and see what are their differences.

Ansible

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com. (by ansible)

pyinfra

pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server to thousands. (by pyinfra-dev)
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Ansible pyinfra
403 31
63,113 3,933
0.6% 1.1%
9.8 9.3
6 days ago 15 days ago
Python Python
GNU General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Ansible

Posts with mentions or reviews of Ansible. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-11-26.
  • Getting Started with Ansible: A Complete Guide to IT Automation
    2 projects | dev.to | 26 Nov 2024
    Ansible GitHub Repository
  • Kubernetes homelab - Learning by doing, Part 6: Automation
    2 projects | dev.to | 9 Nov 2024
    Ansible is an open-source tool that excels in infrastructure configuration. With an agentless architecture (no services need to be installed on the managed machines), it communicates with machines over SSH.
  • Ease of maintenance is a feature
    2 projects | news.ycombinator.com | 8 Nov 2024
  • GitHub Repositories Every Developer Should Know: An In-Depth Guide
    20 projects | dev.to | 24 Oct 2024
    Visit the repository for code and examples.
  • The Simplest Data Architecture
    5 projects | dev.to | 25 Sep 2024
    I do believe that using containers makes a ton of sense in writing data pipelines. You can use the same image to develop and run the pipeline, preventing "it works on my machine" issues. You can test different variations of the image without having to stand up additional infrastructure or potentially breaking the workflows of others who're using the same infrastructure. Finally, knowledge of containerization is increasingly expected of all engineers, while knowledge of other tools that solve similar issues (like Vagrant or Ansible) is less common.
  • YAML: Yet Another Markup Language.
    1 project | dev.to | 13 Sep 2024
    Bearing in mind that YAML is still used widely in build and testing production-level environments, it proves to be an essential tool for managing configurations and data interchange. Its readability and flexibility make it a popular choice for defining automation scripts in Ansible , where it streamlines IT task automation. Similarly, YAML's role in Github Workflows facilitates the configuration of CI/CD pipelines, making testing and deployments more efficient. The continued evolution and integration of YAML in these critical areas underscore its ongoing relevance and effectiveness in simplifying complex workflows and configurations. For me, if it works, the it is not a failure.
  • Top 10 AI Tools Useful for DevOps Engineers
    2 projects | dev.to | 9 Sep 2024
    2. Ansible with AI-Powered Automation
  • Top 10 Infrastructure as Code Tools
    4 projects | dev.to | 28 Aug 2024
    8. Ansible
  • Setting Up The Home Lab: Setting up Kubernetes Using Ansible
    5 projects | dev.to | 8 Aug 2024
    In my previous article I went over how to set up VMs in Proxmox VE using Terraform to deploy the VMs and Cloud-Init to provision them. In this article I'll discuss using Ansible playbooks to do further provisioning of VMs.
  • Setting Up The Home Lab: Terraform and Cloud-Init
    2 projects | dev.to | 31 Jul 2024
    You might notice that the Terraform template definition is pretty close in structure to the one I used in my last article. That's intentional - I set up the last one with cloud-init, but didn't do much with it. This one actually provisions the VM with cloud-init. You can also use Ansible playbooks to provision a VM, and I might talk about that in a future post, but in my next post I'm going to talk about doing something actually useful in my home infrastructure and setting up Plex.

pyinfra

Posts with mentions or reviews of pyinfra. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-03.

What are some alternatives?

When comparing Ansible and pyinfra you can also consider the following projects:

Cloud-Init - unofficial mirror of Ubuntu's cloud-init

Fabric - Simple, Pythonic remote execution and deployment.

Home Manager using Nix - Manage a user environment using Nix [maintainer=@rycee]

psutil - Cross-platform lib for process and system monitoring in Python

Docker Compose - Define and run multi-container applications with Docker

cloudinit - Official upstream for the cloud-init: cloud instance initialization

letsencrypt - Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol.

GNU Stow - GNU Stow - mirror of savannah git repository occasionally with more bleeding-edge branches

SaltStack - Software to automate the management and configuration of any infrastructure or application at scale. Install Salt from the Salt package repositories here:

(R)?ex - Rex, the friendly automation framework

fabric - Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use cases. It offers a unique approach to consensus that enables performance at scale while preserving privacy.

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