Software Alternatives, Accelerators & Startups

pyinfra VS socketify.py

Compare pyinfra VS socketify.py and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

pyinfra logo pyinfra

pyinfra automates infrastructure super fast at massive scale.

socketify.py logo socketify.py

Maybe the fastest web framework for Python and PyPy
  • pyinfra Landing page
    Landing page //
    2021-09-25

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.

  • ๐Ÿš€ Super fast execution over thousands of hosts with predictable performance.
  • ๐Ÿšจ Instant debugging with stdout & stderr output on error or as required (-v|-vv|-vvv).
  • ๐Ÿ“ฆ Extendable with any Python package as configured & written in standard Python.
  • ๐Ÿ’ป Agentless execution against SSH/Docker/subprocess/winrm hosts.
  • โ—๏ธ Two stage process that enables --dry runs before executing any changes.
  • ๐Ÿ”Œ Integrated with Docker, Vagrant/Mech & Ansible out of the box.
  • socketify.py Landing page
    Landing page //
    2023-09-24

pyinfra

$ Details
free
Platforms
Mac OSX Linux Windows Python
Release Date
2016 August

socketify.py

Website
github.com
$ Details
-
Platforms
-
Release Date
-

pyinfra features and specs

  • Idempotent Operations
    Pyinfra automates infrastructure by using idempotent operations, ensuring that the same execution results in the same state, which prevents unintended side effects.
  • Agentless Architecture
    Pyinfra doesn't require any agents to be installed on the target machines. It operates over SSH, simplifying deployment and reducing overhead.
  • Python Ecosystem Integration
    Since pyinfra is written in Python, it integrates well with the Python ecosystem, allowing users to leverage existing libraries and write reusable Python components.
  • Customizability
    Users can easily extend pyinfra with custom operations and modules, providing flexibility to accommodate unique infrastructure requirements.
  • Declarative and Procedural
    Pyinfra supports both declarative and procedural approaches, offering flexible infrastructure automation to suit different workflows and preferences.

socketify.py features and specs

  • High Performance
    Socketify.py is designed for high scalability and performance, leveraging an efficient event loop and native extensions to handle a large number of concurrent connections efficiently.
  • WebSocket Support
    The library provides built-in support for WebSockets, making it suitable for real-time applications where persistent connections between client and server are necessary.
  • Asynchronous I/O
    Socketify.py is built on top of asynchronous I/O paradigms, allowing non-blocking operations that can improve the throughput of networked applications.
  • Ease of Use
    The library offers a clean and straightforward API with examples and documentation, which lowers the barrier to entry for developers who are new to network programming in Python.
  • Python Integration
    Being a Python library, socketify.py integrates well with existing Python applications and can be included as part of larger, multi-component systems.

Possible disadvantages of socketify.py

  • Limited Adoption
    As a relatively new or niche library, socketify.py might have a smaller user base and community compared to more established frameworks like Flask or Django, which could result in fewer community resources and third-party integrations.
  • Learning Curve
    For developers who are accustomed to synchronous programming paradigms, adapting to the asynchronous programming model of socketify.py may require an initial learning investment.
  • Documentation Depth
    While there is documentation, it might not be as extensive or comprehensive as those of more mature libraries, potentially requiring more experimentation or source code reading to fully grasp advanced features.
  • Potential Stability Issues
    Being less established, there might be undiscovered bugs or stability issues in production environments compared to long-standing Python networking libraries.
  • Ecosystem Limitations
    The library might lack some of the extensive third-party plugins or tools available in more popular frameworks, which could limit its extensibility.

Analysis of socketify.py

Overall verdict

  • Socketify.py is a solid choice for developers seeking a high-performance web framework in Python, particularly for I/O-bound applications requiring speed comparable to frameworks in compiled languages, thanks to its use of uWebSockets under the hood.

Why this product is good

  • Built on uWebSockets, providing significant performance improvements over traditional Python web frameworks
  • Supports WebSockets natively, making it suitable for real-time applications
  • Lightweight and minimalistic design reduces overhead
  • Compatible with ASGI, allowing integration with existing Python async ecosystem
  • Active development and growing community support on GitHub
  • Good for building high-throughput APIs and services

Recommended for

  • Developers building real-time applications like chat apps or live notifications
  • Projects requiring high concurrency and low latency in Python
  • Teams looking to replace slower WSGI-based frameworks with something faster
  • Applications needing WebSocket support without heavy framework overhead
  • Microservices architectures where performance is critical
  • Python developers wanting an alternative to Node.js for performance-sensitive tasks

pyinfra videos

Pure Python Configuration Management With PyInfra

More videos:

  • Review - A full Ubuntu PXE server in a Pi, auto-configured with pyinfra.com.
  • Review - Auto-install Ubuntu with Ubiquiti ERX, Synology DS418, and pyinfra

socketify.py videos

No socketify.py videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to pyinfra and socketify.py)
DevOps Tools
100 100%
0% 0
Python
0 0%
100% 100
IT Automation
100 100%
0% 0
Web Development
0 0%
100% 100

Questions & Answers

As answered by people managing pyinfra and socketify.py.

Why should a person choose your product over its competitors?

pyinfra's answer

Python not YAML. Faster. Executing shell commands give clear errors.

What makes your product unique?

pyinfra's answer

pyinfra works like a human by running regular shell commands to configure servers.

Which are the primary technologies used for building your product?

pyinfra's answer

Python (local only, no agent). SSH/Docker/subprocess.

User comments

Share your experience with using pyinfra and socketify.py. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, pyinfra should be more popular than socketify.py. It has been mentiond 9 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.

pyinfra mentions (9)

  • Using Podman, Compose and BuildKit
    - Pyinfra (https://pyinfra.com/) to manage and provision the VMs and services. - Source: Hacker News / 12 months ago
  • Show HN: A new open-source automation tool as an alternative to Ansible/Salt
    There is https://pyinfra.com/ As a sidenote, I also made a small experiment a while ago : https://github.com/linkdd/tricorder/ But it's a bit of a chicken-and-egg problem. Without users, I don't know how it should be used, without features I won't get any users. So for now, it's in a state of "I'll address bug reports and feature requests, but I won't actively... - Source: Hacker News / over 2 years ago
  • How to manage multiple Wagtail sites from central point
    Pyinfra - https://pyinfra.com/ - Pyinfra is simpler for me than Ansible. I completed the entire deployment in one afternoon, from installing and configuring the VPS server from scratch to deploying the application and automatically restoring the database from a backup. Source: over 2 years ago
  • How do you guys handle server automation?
    Iโ€™ve replaced Ansible with PyInfra where ever possible. https://pyinfra.com/ is very clean, and fast but lacks the shear amount of automation that can be found with Ansible. Source: over 3 years ago
  • What Ansible is capable to do that Python doesn't?
    Some folks don't like YAML all that well, and I can understand where they are coming from. I wish Ansible provided a good Python API so that playbooks could be written in Python easier. But there is a project called PyInfra that is trying to do something similiar to Ansible, using Python as the configuration language. https://pyinfra.com/ It is still pretty new so not got nearly as many modules written for it... Source: almost 4 years ago
View more

socketify.py mentions (2)

  • Show HN: Python framework is faster than Golang Fiber
    These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
  • This is how I started the development of the fastest ASGI and WSGI Server in TechEmPower Benchmarks
    After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago

What are some alternatives?

When comparing pyinfra and socketify.py, you can also consider the following products

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

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

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

Salt - Fast, scalable and flexible software for data center automation

Rudder - Rudder is an easy to use, web-driven, role-based solution for Continuous Automation and Compliance.

Python Fabric - Fabric is a Python library and command-line tool for streamlining the use of SSH for application...