omniparser: a native Golang ETL streaming parser and transform library for CSV, JSON, XML, EDI, text, etc

Fast and reliable background jobs in Go

Go library for printing human readable, relative time differences 🕰️

The ultimate beauty gRPC Client on your Terminal

Programming languages have their build tools. Java has Maven, Scala has SBT, and Javascript has NPM beside many web build tools. Newcomers to Golang wonder about the build tool for Go. Starting is easy, the go compiler is easier to use than comparable alternatives, to start no build tool is necessary

Andrej Karpathy's Micrograd in Go

An easy to learn toolkit for creating graphical apps for desktop, mobile and web.

Code once and build native apps for all platforms and stores

This post discusses Golang strings: their design, and how runes and bytes fit into the picture

Docker’s flexibility and robustness as a containerization tool come with a complexity that can be daunting. Multiple methods are available to accomplish similar tasks, and users must understand the pros and cons of the available options to choose the best approach for their projects

Building software is an ever-shifting challenge. To navigate this complexity, developers rely on proven design principles to craft code that's robust, adaptable, and easy to manage. One such set of principles is SOLID (first introduced by Robert C. Martin).

SOLID stands for: Single Responsibility, Open-Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion. Each principle plays a vital role in fostering maintainability, scalability, and testability in your programs

Profiling is an underrated skill among software-engineers and it’s often overlooked by even very skilled developers

🎦 Give your Go app superpowers with an Embedded NATS Server

Mat Ryer has been writing HTTP services in Go for more than 13 years. Needless to say, he’s learned a lot along the way. Today, Johnny & Ian sit down with Mat to ask him all about it

This month, high-performance language Rust jumped from position #17 to position #13 in the TIOBE index. This is an all time high for Rust. Gaining 4 positions might seem a small change, but Rust has been "the talk of the town" the last couple of years without making much progress in the TIOBE index

Recently, I've been looking at cache friendly algorithm for common data structures like trees, tries, ... One such algorithm kept coming up to mind and that's why I decided to implement it in Go. You can find the paper describing the algorithm here

What are range iterators?

I don't know about you, but I found the explanation and examples from the experiment documentation very confusing. But the release notes for 1.23 do a much better job summarizing the feature (although not of providing examples)

A new Go mocking library designed for testing code that relies on time

Your ultimate Go microservices framework for the cloud-native era

An open-source, cloud native, horizontally scalable, distributed time-series database

Govulncheck reports known vulnerabilities that affect Go code. It uses static analysis of source code or a binary's symbol table to narrow down reports to only those that could affect the application