An elegant NTP client library for Swift providing sub-second precision and a stable monotonic clock.
Kronos is an NTP client library written in Swift that provides accurate time synchronization with sub-second precision. It solves the problem of unreliable system clocks by offering a stable monotonic clock that remains consistent even when the system clock changes, ensuring time-sensitive applications maintain accurate timing.
iOS and macOS developers building applications that require precise timekeeping, such as financial apps, logging systems, media synchronization, or any scenario where accurate timestamps are critical.
Developers choose Kronos for its elegant Swift API, sub-second accuracy, and reliable monotonic clock that prevents time drift, making it a robust alternative to manual time handling or less precise system clocks.
Elegant NTP date library in Swift
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Kronos delivers highly accurate time measurements down to sub-second levels, as stated in the README, ensuring reliable timestamps for critical operations like logging or media sync.
It provides a clock unaffected by system clock changes, maintaining consistency for time-sensitive apps, which is a core feature highlighted in the description and example app.
The library syncs with up to five NTP servers for improved accuracy and reliability, as mentioned in the key features, reducing dependency on a single server.
Kronos continuously refines time accuracy with more NTP responses, allowing for better precision over time, as explained in the usage example with Clock.now.
Kronos requires active internet access to sync with NTP servers, making it unreliable for offline scenarios or apps with strict network constraints, a limitation not addressed in error handling.
It only supports NTP and lacks integration with other time sync methods like SNTP or GPS, which might be necessary for specialized or multi-protocol environments.
The README doesn't detail how to handle NTP server failures or retry logic, leaving developers to implement fallback mechanisms, which can increase complexity.