TinyJPG VS cppq

• Ease of Use
  TinyJPG provides a simple and user-friendly interface that makes image compression straightforward, even for users without technical expertise.
• High-Quality Compression
  The tool effectively reduces the file size of JPG images without significantly compromising on quality, making it ideal for web use.
• Batch Upload
  It allows users to upload and compress multiple images at once, saving time and effort for bulk operations.
• Free Tier
  TinyJPG offers a free version with sufficient features for individuals and small businesses, which can be very cost-effective.
• API Access
  Developers can integrate TinyJPG's compression capabilities directly into their applications via the provided API, allowing for automation and scalability.
• No Signup Required
  Users can start compressing images immediately without the need for creating an account, enhancing convenience and privacy.

Possible disadvantages

• File Size Limit
  The free version has a file size limit for uploads (5 MB per image for free users), which may not be sufficient for high-resolution images.
• Limited Formats
  TinyJPG currently supports only JPG and PNG formats, which may not be suitable for users needing compression for other file types.
• Compression Control
  Users have limited control over the compression settings, which may not meet specific quality requirements for all professional projects.
• Premium Subscription
  Advanced features and higher limits require a paid subscription, which might not be justified for occasional users.
• Dependence on Internet
  TinyJPG is an online tool, so users need an internet connection to access its services, which may not be ideal for all 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.

TinyPNG + TinyJPG - Bits und so #429

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  Better Images: Switched some images to compressed PNGs and added lazy loading to speed things up. Compressed PNGs Free until 5MB. - Source: dev.to / over 1 year ago

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  Improve your website speed and mobile responsiveness. Google loves websites that load fast. Make sure your pictures aren't heavy. Use apps like TinyJPG. Use the right amount of animation because too much of anything is bad. Source: about 3 years ago

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  Extract the scanned image and resize to make it a bit smaller, then compress the images on tinyjpg.com, merge them all into one pdf file using smallpdf, finally compress the pdf file again on the same website. Source: over 3 years ago

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Tracking cppq since Nov 2022.