Koyfin VS cppq

• Advanced charting
• Global financials data for 100k+ stocks
• Global analyst estimates & price targets
• Global macroeconomic data
• Global equity screener
• ETF & mutual fund screener
• ETF & Mutual fund data
• 100k+ Company snapshots
• Transcripts, filings, press releases
• Advanced transcript search
• Commodity futures
• Indices
• Bond yields & spreads
• FX data
• Market & macro dashboards
• Custom dashboards
• Dashboard data download
• Custom financial analysis templates
• Portfolio tools
• Model portfolios
• Watchlists
• Custom formulas
• Shareable watchlists
• Live premium news
• Custom news feeds
• Economic & earnings calendars
• Web and mobile platform

• 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.

Koyfin Demo, 2023

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• Resources for equity research and stock reports

  Thanks for the link, that was useful. I found there about koyfin.com which is for free and gives the summary info that I was after. Really spot on. Source: about 4 years ago

• What is a recent estimate of Apph's short position?

  My stock dashboard (koyfin.com) says 15.33% short interest. Which is correct? Also I think that number was around 25% recently so I guess that's come down? Source: almost 5 years ago

• Recommendations for stock investment resources - Xetra

  Personally: For individual stocks: Koyfin.com (good for visualizing US ETFs as well but you won't have access to those anyway). Source: about 5 years ago

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Tracking cppq since Nov 2022.