Ninja Build VS cppq

• 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
  Ninja’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

• 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.

• Lightweight C++ implementation
  cppq is written in modern C++ and designed to be a minimal, efficient task queue library, making it a good fit for performance-sensitive applications where the overhead of scripting language runtimes is undesirable.
• Redis-backed reliability
  Built on top of Redis as the message broker, cppq benefits from Redis's persistence, atomic operations, and wide adoption, giving the queue system durability and the ability to survive process restarts.
• Inspired by proven design (asynq)
  The library's architecture mirrors the popular Go asynq task queue, so it inherits a well-thought-out API design for task enqueueing, retries, and worker processing patterns that have already been validated in production systems.
• Native integration for C++ projects
  For teams already working in a C++ codebase, cppq allows adding background job processing without needing to introduce a separate service written in another language (like Go or Python), simplifying the technology stack.
• Open source and inspectable
  Being open source on GitHub, developers can review the source code, modify it for custom needs, and contribute improvements, which offers transparency not available with closed-source queueing solutions.

Possible disadvantages

• Limited maturity and battle-testing
  Compared to established task queue libraries like Sidekiq, Celery, or asynq itself, cppq is a newer and smaller project with less real-world production usage, which may translate into undiscovered bugs or edge cases.
• Smaller community and ecosystem
  Because it has far fewer users and contributors than mainstream task queue systems, finding community support, third-party tutorials, or pre-built integrations is more difficult.
• Documentation gaps
  As a smaller project, cppq may have less comprehensive documentation compared to major task queue frameworks, requiring developers to read source code directly to understand advanced features or edge-case behaviors.
• C++ build and dependency complexity
  Using cppq requires managing C++ build toolchains and dependencies (such as a Redis client library), which can be more cumbersome than installing a package via pip or npm in other ecosystems.
• Fewer built-in features and tooling
  cppq likely lacks the extensive ecosystem tooling of more mature queues, such as web-based monitoring dashboards, extensive metrics/observability integrations, or advanced scheduling features found in more established solutions.

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

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• 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 / about 1 year 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 – 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 / almost 3 years ago

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Tracking cppq since Nov 2022.