Process Lasso VS cppq

• Improved System Responsiveness
  Process Lasso dynamically adjusts the priority of running processes, ensuring that system-critical tasks are not bogged down by resource-heavy applications. This leads to a more responsive and smoother computing experience.
• ProBalance Technology
  The proprietary ProBalance algorithm intelligently balances CPU usage, preventing system stalls and ensuring that no single application consumes too many CPU cycles, which is especially useful when running multiple applications simultaneously.
• Automation Features
  Process Lasso offers extensive automation features such as rules for process priority, automatic termination of certain applications, and power profile switching, allowing for a highly customized and automated system management experience.
• Energy Efficiency
  By optimizing CPU usage and reducing unnecessary background processes, Process Lasso can improve energy efficiency, which is especially advantageous for laptop users aiming to extend battery life.
• User-Friendly Interface
  Process Lasso provides a comprehensive yet intuitive user interface, making it easy for both novice and expert users to navigate and utilize its features effectively.

Possible disadvantages

• Learning Curve
  Despite its user-friendly design, the array of options and features can be overwhelming for new users, requiring some time and effort to understand and utilize fully.
• Limited Free Version
  The free version of Process Lasso has limited functionality compared to the Pro version, which may push users towards purchasing a license to unlock its full potential.
• Resource Usage
  While Process Lasso aims to optimize system performance, it itself is an additional background process, which means it consumes some system resources, although minimal.
• Complexity of Advanced Features
  The advanced features, such as custom rules and automation tasks, can be quite complex to configure correctly, potentially leading to unintended consequences if not set up properly.
• Cost
  For those requiring the full feature set, the cost of the Pro version can be considered a downside, particularly for casual users who may not need the advanced functionalities.

• 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.

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• skype is using 20/30% of my CPU all the time even when its on the idle mode.

  If that helps then you can try Process Lasso to automate this. Source: almost 3 years ago

• CS2 Performance - Intel 12/13/14gen users should DISABLE E-Cores!

  CoreDirector is pretty straight forward and easy to use, but on my machine it caused micro-stutters even if I had higher frames. I used Process Lasso to do this, which should be the same thing CoreDirector does, but it worked better for me. Source: almost 3 years ago

• Another (possible) Fix for the 5 seconds stuttering (Even on SSD)

  If BES doesn't work for you, you can try Project Lasso for free: https://bitsum.com/. On this one, I've set the CPU Limiter to when the process reach 85% for 2 seconds, limit by 1 core for 1 second. You can also reduce the CPU affinity... Source: about 3 years ago

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Tracking cppq since Nov 2022.