by Open Weaver kits ✔ Updated: May 13, 2022
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.
Go 24840 Version:v2.6.1
Go 24840 Version:v2.6.1 License: Permissive (MIT)
Go 6889 Version:v1.2.1
Go 6889 Version:v1.2.1 License: Permissive (MIT)
Go 3475 Version:Current
Go 3475 Version:Current License: Permissive (MIT)
Go 2902 Version:v0.0.1
Go 2902 Version:v0.0.1 License: Permissive (Apache-2.0)
Go 3132 Version:v2.4.1
Go 3132 Version:v2.4.1 License: Others (Non-SPDX)
Go 876 Version:1.7.5
Go 876 Version:1.7.5 License: Permissive (Apache-2.0)
Go 643 Version:1.7.2
Go 643 Version:1.7.2 License: Strong Copyleft (AGPL-3.0)
Go 291 Version:v0.5.5
Go 291 Version:v0.5.5 License: Permissive (MIT)
Go 234 Version:v1.2.1
Go 234 Version:v1.2.1 License: Permissive (Apache-2.0)
Go 251 Version:Current
Go 251 Version:Current License: Permissive (Apache-2.0)
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