Hammerspoon VS cppq

• Highly Customizable
  Hammerspoon allows users to write Lua scripts to automate virtually any task on macOS, providing a high degree of customization to meet individual needs.
• Extensive API
  With a rich set of APIs, Hammerspoon supports interaction with numerous macOS features and third-party applications, increasing its versatility.
• Lightweight
  Hammerspoon is relatively lightweight compared to other automation tools, minimizing the impact on system resources.
• Active Community
  The Hammerspoon community is active and provides a wealth of shared scripts and modules, as well as support for new users.
• Open Source
  Being open-source, Hammerspoon allows users to inspect, modify, and contribute to its codebase, fostering a collaborative development environment.

Possible disadvantages

• Steep Learning Curve
  The necessity to write Lua scripts can be a barrier for users who are not familiar with programming, making the tool less accessible to non-developers.
• Limited Documentation
  While there is documentation available, some users find it insufficient for more complex tasks, which may require additional research and experimentation.
• Minimal Graphical Interface
  Hammerspoon lacks a user-friendly graphical interface, which can make setup and configuration less intuitive for some users.
• Potential Stability Issues
  Depending on the complexity and efficiency of the user-created scripts, Hammerspoon could potentially cause system instability or performance issues.
• MacOS Only
  Hammerspoon is exclusive to macOS, which limits its usability to users within the Apple ecosystem.

• 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.

HammerSpoon Worflow Automation

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• i3 Linux -> macOS

  Then, I can only suggest http://hammerspoon.org/ and then you can start implementing window movement using it https://www.hammerspoon.org/go/#winmoveintro. Source: over 3 years ago

• 49 inch Ultra Wide Monitor going from PC to Mac mini

  MacOS doesn't do this natively, but you have options: - If you just want to move windows around with some degree of keyboard customization, go for Rectangle. - If you want more control, such as sizing a bunch of windows at the same... Source: about 4 years ago

• Handy utility applications for macOS

  Both of those can be replaced by the open-source Hammerspoon (actually a significant number of the things in this thread can, including BTT). Source: over 4 years ago

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Tracking cppq since Nov 2022.