Stats VS cppq

• Open Source
  Being open source, Stats allows users to inspect, modify, and enhance the code to suit their needs. This fosters transparency and community collaboration.
• User-Friendly Interface
  Stats offers a clean and intuitive interface, making it easy for users to monitor various system parameters like CPU usage, memory usage, disk activity, and more.
• Customization
  Users can customize which metrics to display and how they are presented, providing a personalized experience tailored to individual user needs.
• Compatibility
  Stats is compatible with macOS, making it an excellent choice for Mac users who want a native monitoring tool.
• Regular Updates
  The project receives regular updates and improvements, ensuring it stays relevant and bug-free over time.
• Lightweight
  Stats is a lightweight application that doesn’t consume much of your system's resources, allowing it to run in the background without impacting performance.

Possible disadvantages

• Limited to macOS
  Stats is only available for macOS, limiting its usability to users on other operating systems like Windows or Linux.
• Dependency on External Libraries
  Since it relies on external libraries and frameworks, there could be compatibility issues or additional vulnerabilities that arise from these dependencies.
• Steep Learning Curve for Non-Techies
  While the interface is user-friendly for tech-savvy individuals, non-technical users might find it challenging to interpret the data provided by the app.
• Community-Driven Support
  As an open-source project, user support is predominantly community-driven, which might not always be as timely or reliable as dedicated commercial support.
• Potential Bugs
  Like any open-source project, there could be bugs or unfinished features that might disrupt the user experience until they are patched by the community.

• 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.

AP Stats - Cram Review (2019)

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• Building a macOS app to know when my Mac is thermal throttling

  You can just ping your CPU usage to the menu bar and monitor that. I have CPU and total system wattage up there so I always know if something weird is going on. https://github.com/exelban/stats. - Source: Hacker News / 10 months ago

• Leaked Apple M5 9 core Geekbench scores

  Try installing Vitals.app open source app to see what's going on: https://github.com/hmarr/vitals Stats is another good one too: https://github.com/exelban/stats. - Source: Hacker News / about 1 year ago

• Ask HN: What macOS apps/programs do you use daily and recommend?

  * MacPorts: Everything you need to make Apple Unix equivalent to a Linux box, plus more. Works with the Apple OS, not against it. Doesn't put things in weird places or expect to disable SIP etc. Updates the old versions of CLI stuff that... - Source: Hacker News / over 2 years ago

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Tracking cppq since Nov 2022.