Go is a programming language that boasts simple syntax and an exceptionally fast compile time. It also has some pretty great libraries for data science, allowing you to translate your analytics into code in a fraction of the time. Analytics libraries play a critical role in data collection and processing. They allow users to collect data from various sources and send it to their analytics platform. It's widely used in the tech industry, and Google is at the forefront of its rise. Go is designed to be simple, efficient, and portable across operating systems and hardware architectures. It is designed for building large-scale software systems that require high performance but don't need many features or abstraction layers. Popular Go Analytics open source libraries include: influxdb - Scalable datastore for metrics, events, and realtime analytics; ga-beacon - Google Analytics collectorasaservice; aresdb - A GPUpowered realtime analytics storage and query engine.
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Go 291 Version:v0.5.5 License: Permissive (MIT)
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