Gopher Pythonista #1: Moving From Python To Go

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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SaaSHub helps you find the best software and product alternatives
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  1. Testify

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

    For testing purposes, Go provides a go test command that automatically discovers tests within your application and supports features such as caching and code coverage. However, if you require more advanced testing capabilities such as suites or mocking, you will need to install a toolkit like testify. Overall, while Go provides a highly effective testing experience, it's worth noting that writing tests in Python using pytest is arguably one of the most enjoyable testing experiences I have encountered across all programming languages.

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. go-tools

    Staticcheck - The advanced Go linter

    Another useful tool in Go is the go vet command, which helps to identify common coding mistakes such as unreachable code or useless comparisons. In addition, external linters like staticcheck can be used to detect bugs and performance issues with ease.

  4. goloxy

    Simple service for handling Auth0 authentication

    One of the main things that makes Go well-suited for backend development is its standard library. This library includes a variety of useful packages for tasks such as encoding, cryptography, and database management. Most importantly, it also includes packages for building HTTP servers, which means you can create a semi-sophisticated API without needing to install any additional dependencies. For instance, I was able to develop an authentication API for interacting with Auth0 using just one external package (for structured logging). You can view the code here: goloxy.

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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Did you know that Go is
the 4th most popular programming language
based on number of references?