Go doesn’t do any magical stuff and I love that

This page summarizes the projects mentioned and recommended in the original post on /r/golang

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  • libbsd

    BSD functions common only on BSD systems, for portability to non-BSD systems.

  • Rudderstack

    Privacy and Security focused Segment-alternative, in Golang and React

    RudderStack (open-source event streaming, alternative to Segment) processed 1 trillion+ events last year and has 400+ integrations with different services. It would have been nightmare if it was not built in Go.

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  • dig

    A reflection based dependency injection toolkit for Go.

    Ironically given Spring’s history, you do have dependency injection in Go. But you don’t need to use it unless there’s a clear benefit. Most code reviewers would be appalled if you pulled in dig into a project that didn’t need it.

  • FizzBuzz Enterprise Edition

    FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.

    Spring was good back in the day when Java 5 and 6 ruled the roost and big honking frameworks were seen as an enterprise thing . I mean, we even got Enterprise FizzBuzz out of it.

  • Vert.x

    Vert.x is a tool-kit for building reactive applications on the JVM

    There are many lean, popular, non-magical libraries in Java land. (https://quarkus.io/, https://vertx.io/, etc). Spring is a monster 😱. Its like comparing Kubernetes (written in Go) with some lean framework in another lang.

  • Quarkus

    Quarkus: Supersonic Subatomic Java.

    There are many lean, popular, non-magical libraries in Java land. (https://quarkus.io/, https://vertx.io/, etc). Spring is a monster 😱. Its like comparing Kubernetes (written in Go) with some lean framework in another lang.

  • distribution

    The toolkit to pack, ship, store, and deliver container content

    The open source repository my colleague and I reference in this talk can be seen at https://github.com/distribution/distribution/

  • InfluxDB

    Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.

  • GORM

    The fantastic ORM library for Golang, aims to be developer friendly

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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