Software Alternatives, Accelerators & Startups

Ninja Build VS Python Fabric

Compare Ninja Build VS Python Fabric and see what are their differences

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Ninja Build logo Ninja Build

Ninja is a small build system with a focus on speed.

Python Fabric logo Python Fabric

Fabric is a Python library and command-line tool for streamlining the use of SSH for application...
  • Ninja Build Landing page
    Landing page //
    2021-09-14
  • Python Fabric Landing page
    Landing page //
    2023-02-05

Ninja Build features and specs

  • Speed
    Ninja is designed for high performance, making it one of the fastest build systems available. It minimizes the time spent on tasks such as parsing, dependency resolution, and build command execution.
  • Simplicity
    Ninjaโ€™s configuration syntax is straightforward and concise, reducing the complexity involved in setting up builds and allowing for a clear overview of build rules.
  • Parallelism
    Ninja excels at handling parallel builds, leveraging multiple cores effectively to decrease overall build times.
  • Incremental Builds
    Ninja efficiently handles incremental builds by only recompiling what is necessary, which significantly speeds up iterative development processes.
  • Integration
    Ninja is often used as the backend for more complex build systems (e.g., CMake), making it a versatile tool within a larger toolchain.

Possible disadvantages of Ninja Build

  • Limited Features
    Ninja is deliberately minimalist, lacking many of the features found in other build systems, such as built-in support for complex dependency management and custom build steps.
  • Learning Curve
    While Ninja itself has a simple syntax, the learning curve can be steep for those unfamiliar with how build systems work or for those coming from more feature-rich environments.
  • Dependency on Generators
    Ninja often requires an external generator (like CMake) to create its build files, which can add to the setup complexity and introduce dependencies on other tools.
  • Limited Scripting Capabilities
    Unlike some build systems that offer extensive scripting support (e.g., Python in SCons), Ninja's functionality is largely limited to what its syntax and predefined rules allow.
  • Less Flexibility
    Due to its minimalist nature, Ninja may not be as flexible as other build systems, potentially limiting its use in more complex or unusual build scenarios.

Python Fabric features and specs

  • Easy to Use
    Fabric provides a simple API that makes it easy to execute remote commands over SSH. Its syntax is clear and straightforward, which simplifies the onboarding process for new users.
  • Python-based
    Being a Python library, Fabric allows leveraging Python's extensive ecosystem, making it easy to integrate with other Python tools and libraries for more complex automation tasks.
  • Task Automation
    Fabric excels at automating deployment tasks, making it easier to manage repetitive tasks like code deployment, system updates, and configuration changes.
  • Strong Community Support
    Fabric has a robust community and extensive documentation, which means you can find a wealth of resources, tutorials, and third-party tools to extend its functionality.
  • SSH-based
    Fabric uses SSH to connect to remote servers, providing a secure and reliable method for executing remote commands.

Possible disadvantages of Python Fabric

  • Limited Windows Support
    Fabric is primarily designed for Unix-based systems, and its support for Windows can be limited and less straightforward to set up.
  • Not as Feature-rich
    Compared to more comprehensive orchestration tools like Ansible, Fabric may lack some advanced features and built-in functionalities, requiring additional scripting for complex tasks.
  • Scalability Issues
    Fabric is more suited for smaller-scale deployments. For larger-scale systems, performance can become an issue, and other tools may be more efficient.
  • Concurrency Constraints
    While Fabric supports parallel execution, its concurrency model can be limiting compared to more advanced systems designed for high concurrency and orchestration.
  • Dependency Management
    Managing dependencies can become cumbersome, especially when working with various environments or configurations, requiring diligent setup and maintenance.

Analysis of Ninja Build

Overall verdict

  • Ninja Build is considered a strong choice for users seeking a fast, reliable, and efficient build system. Its simplicity and focus on performance make it appealing to developers working on projects where build speed is critical.

Why this product is good

  • Ninja Build is a high-performance build system designed to handle complex build processes efficiently. It is known for its minimalistic yet powerful design, which allows for faster build times compared to traditional build systems like Make. Its approach to dependency tracking and parallelism is optimized for modern build environments, making it suitable for large codebases and incremental builds.

Recommended for

    Ninja Build is recommended for developers working on large-scale projects with complex build processes, particularly in environments where build speed and efficiency are prioritized. It is especially beneficial for projects that are continuously integrated or require frequent incremental builds.

Analysis of Python Fabric

Overall verdict

  • Fabric is a robust tool that is highly regarded for its simplicity and the power it brings to deploying and managing systems. It is maintained well, has a strong community of users, and is suitable for a variety of deployment and automation scenarios. However, depending on your specific needs, there might be other tools that could better suit certain environments, such as Ansible or SaltStack for more complex configuration management.

Why this product is good

  • Python Fabric, accessible via fabfile.org, is a high-level Python library designed to streamline the execution of shell commands remotely over SSH. It's particularly useful for streamlining application deployment and system administration tasks. Fabric simplifies complex repetitive tasks by allowing you to write Python scripts ('fabfiles') that define these workflows in a more human-readable form. It supports parallel execution, role-based task execution, and integrates well with other tools in the Python ecosystem, making it highly versatile for automation purposes.

Recommended for

  • Developers looking for a simple and effective way to automate remote server tasks.
  • Teams deploying Python-based applications who can benefit from Fabricโ€™s native syncing with the language.
  • Administrators who need a lightweight tool for automating routine tasks or managing server farms.
  • Users interested in extending its functionality through Python's rich library ecosystem.

Ninja Build videos

FORTNITE STW: HERE IS THE BEST NINJA BUILD (AFTER MONTHS OF TESTING)

Python Fabric videos

No Python Fabric videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Ninja Build and Python Fabric)
Front End Package Manager
Productivity
0 0%
100% 100
JS Build Tools
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Ninja Build seems to be a lot more popular than Python Fabric. While we know about 23 links to Ninja Build, we've tracked only 2 mentions of Python Fabric. 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.

Ninja Build mentions (23)

  • CMake Made Simple: A Reusable Template for Your First C++ Project
    On Windows, download the binaries from the cmake and Ninja websites. After that, add the executables to your PATH. - Source: dev.to / 11 months ago
  • TypeScript's Successor is Waiting, and You'll Never Want to Turn Back
    Under the hood, Rescript uses a build system called Ninja. Ninja is similar to Make, but cross-platform and more minimal/performant. - Source: dev.to / over 2 years ago
  • Using Make โ€“ writing less Makefile
    Ninja was super easy to pick up even after using make for some time (10+ years). GN is just a ninja generator that is optional. https://gn.googlesource.com/gn/+/main/docs/quick_start.md https://ninja-build.org/. - Source: Hacker News / over 2 years ago
  • Ask HN: What outdated tech are you still using and are perfectly happy with?
    Really? I thought most new projects were switching to ninja[^1] and have never used it. [^1]: https://ninja-build.org/. - Source: Hacker News / over 2 years ago
  • What was used to build C++ programs before Cmake?
    Ninja showed real promise for a while, but then CMake grew up and people stopped seeing a reason to leave it behind. Source: almost 3 years ago
View more

Python Fabric mentions (2)

  • What scripts have you built to stand up a new server?
    Thanks, will take a look at that curl thing. We are still using this and been working for us for ~15 years (python 2, ported to python 3) and this is just an example of how to take https://fabfile.org to the extreme but still is not the best way to do it. We only ~50 servers so it is not a massive fleet. The convenience of typing `fab ` to do things under control is still better than nothing :). - Source: Hacker News / over 1 year ago
  • Good tool for automatic setup and deployment of Django projects
    I've used Rake and Fabric for somewhat similar (but less ambitious) stuff in the past and I'm thinking that Fabric might be a pretty good fit for this task as well, but I'd still like your input. Are there other tools I should look into? I've heard goodthings about Puppet but just looking at their site (it contains the word Enterprise ) gives me the feeling that it might be overkill for a one man operation. Source: about 4 years ago

What are some alternatives?

When comparing Ninja Build and Python Fabric, you can also consider the following products

GNU Make - GNU Make is a tool which controls the generation of executables and other non-source files of a program from the program's source files.

Android Studio - Android development environment based on IntelliJ IDEA

SCons - SCons is an Open Source software construction toolโ€”that is, a next-generation build tool.

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

npm - npm is a package manager for Node.

Xcode - Xcode is Appleโ€™s powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.