konf offers an(other) opinion on how Go programs can read configuration without becoming coupled to a particular configuration source.

A Bloom filter is a concise/compressed representation of a set, where the main requirement is to make membership queries; i.e., whether an item is a member of a set. A Bloom filter will always correctly report the presence of an element in the set when the element is indeed present.

SQL query builder and ORM/Factory generator for Go with support for PostgreSQL, MySQL and SQLite

Rill (noun: a small stream) is a Go toolkit that offers a collection of easy-to-use functions for concurrency, streaming, batching and pipeline construction. It abstracts away the complexities of concurrency, removes boilerplate, provides a structured way to handle errors and allows developers to focus on core logic. Whether you need to perform a basic concurrent ForEach or construct a complex multi-stage processing pipeline, Rill has got you covered.

Entropy is a CLI tool that will scan your codebase for high entropy lines, which are often secrets.

CSS written in Pure Go.

A fast, easy-to-use and distraction-free Hacker News terminal client.

pgxmock is a mock library implementing pgx - PostgreSQL Driver and Toolkit. It's based on the well-known sqlmock library for sql/driver.

pgxmock has one and only purpose - to simulate pgx behavior in tests, without needing a real database connection. It helps to maintain correct TDD workflow.

Free - no account required - alternative to ngrok for localhost asynchronous web development (e.g. webhooks)

This series is a step by step guide to creating an (almost) fully fledged Regex engine using Go. It explores the basics of Finite State Automata, incrementally creates a parser and compiler for turning strings into state machines, walks through the setup of a visualizer for the FSM node graph. All of the development is structured as a TDD project, and uses modern Go features such as fuzzing, generics, and profiling.

Some quick bits about how to do go.mod version bumps.

This is the second in a three-part series, extracted from my book The Power of Go: Tests, about test-driven development (TDD) in Go—in other words, building software in Go, guided by tests.

While Rust and Go are both modern programming languages that have learned from the mistakes of the previous generation, they manage concurrency in a completely different way, which, as we will see, has a huge impact on performance and developer experience.

Most modern programming language ecosystems provide assert functions in their testing libraries but not Go’s. Its standard testing package follows a more direct and to-the-point approach. In fact, there isn’t even a single assertion function in the testing package, and writing idiomatic tests in Go isn’t that different from writing application code.

Go is still a new language, and if you’re working with it, chances are that this is not your first programming language.
Coming from a different language, you bring forth both your experience as well as your biases. Things you used to do in your previous language might not be a good idea in Go.

A modern text/numeric/geo-spatial/vector indexing library for go