Python/Django to Golang questions

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

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  • Faktory

    Language-agnostic persistent background job server

  • Faktory https://github.com/contribsys/faktory

  • goworker

    goworker is a Go-based background worker that runs 10 to 100,000* times faster than Ruby-based workers.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • gocelery

    Celery Distributed Task Queue in Go

  • gq

    gq is a lightweight scalable message queue backed by the most popular SQL DBs. Add message queue semantics to your application without integrating extra infrastructure.

  • proposals

    Temporal proposals (by temporalio)

  • https://temporal.io/ (from Cadence by Uber) https://github.com/temporalio/temporal

  • Task

    A task runner / simpler Make alternative written in Go

  • https://github.com/go-task/task https://taskfile.dev/#/

  • temporal

    Temporal service

  • https://temporal.io/ (from Cadence by Uber) https://github.com/temporalio/temporal

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • go-template

    go/template is a tool for jumpstarting production-ready Golang projects quickly.

  • Here a Boilerplate generator https://github.com/SchwarzIT/go-template/

  • gnomock

    Test your code without writing mocks with ephemeral Docker containers 📦 Setup popular services with just a couple lines of code ⏱️ No bash, no yaml, only code 💻

  • GORM

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

  • Testify

    A toolkit with common assertions and mocks that plays nicely with the standard library

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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