A library for handling and visualizing calendar-data in a scalable way. Scalable means displayed in a continued way (like a "timeline"), but also scalable in the amount of entries it could contain.
The core part of this project will be a portable JavaScript implementation. Which should in future be usable in "web browsers", server-side js(e.g. node.js) and application js (e.g. QtScript / Qt).
License
MIT LicenseFollow scalendar
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The progression to modern application stacks and microservices architectures has resulted in orders of magnitude more logs, metrics, events, and traces. Like gravity, data attracts more data, making it increasingly difficult to move and process as it accumulates over time. More than ever, there is a need to be able to stream-process, filter, mask, transform, aggregate, analyze, and route that data to various data tier destinations optimized for specific usage.
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