MakeYourStats VS cppq

• Games Filter
  Search games that meets your criteria. E.g.: see only games with more than 70% over 2.5 game goals in last 5 games at home. You can search by any stat you want.
• Custom Alerts
  Receive alerts when certain filters meet criteria. E.g. odds for over 2.5 goals is 2.00
• Backtesting
  Test your filters based on past seasons results. You will know if your filter will be profitable.
• Custom Feeds
  Create unlimited feeds to see only the stats important to you. If you want to see only stats for goals on your home page you can build your goals feed.
• Favourite Games
  Choose your games to follow and get instant notifications for every event (goals, corners, cards, substitutions, VAR, etc.). You can group your games by betting lists, so you know what you are looking for in a certain game.
• Pre Game Stats
  See detailed stats for every game. Switch between stats based on last 5/last 10/all games based on home/away/all games, everything in an easy to read format.
• Game Stats
  Live stats for every game: possession, attack, dangerous attacks, yellow cards, red cards, corners, etc.
• H2H
  Stats from last games between involved teams, past results with detailed stats like goals, corners, cards, etc.
• Standings
  Check league position for every teams involved in a game.
• Lineups
  Detailed statistics about players (games played, cards, goals, etc.). Get notifications when lineups are available for a game.
• Odds
  Even the stats are very important, odds bring value into a bet. Check odds for every game and choose your next value bet.
• Favourite leagues
  Follow leagues that you want. Select your favourite leagues and see them on top of the feed.

• 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.

Getting Started with MakeYourStats

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