​​#go

A simple zero-config tool to make locally trusted development certificates with any names you'd like: https://github.com/FiloSottile/mkcert

Useful when you need HTTPS on your localhost (for some reason!).

#shell #bash

#AWS Security best practices assessment, auditing, hardening and forensics readiness tool. It follows guidelines of the CIS Amazon Web Services Foundations Benchmark and dozens of additional checks including GDPR and HIPAA: https://github.com/toniblyx/prowler

Plugin for #pytest to randomly order tests and control random.seed: https://github.com/pytest-dev/pytest-randomly

This is a must for all #pytest users.

Well known open-source developer shares a story behind his 5k stars github project, 2.5 years of development, 10k users, and 94$ ❗️ of revenue.

Open-source is seriously broken. And it needs a sustainable way for developers to work on it.

#github

#elixir is fast, but there are some tricks to rewrite the same code even faster. Learn how to write fast elixir: https://github.com/devonestes/fast-elixir

Analyse and compare images with Javascript and HTML5: https://github.com/rsmbl/Resemble.js

#js

async / await is quite new to #rust, this article shares several examples on why it is so important.

Simple #python tool to validate that you have the same configuration for the set of projects.

Supports any yaml, toml, ini, and json configs: https://github.com/andreoliwa/nitpick

​​Simple real time visualisation of the execution of a #python program: https://github.com/alexmojaki/heartrate

​​Official py.test plugin to bring mimesis integration to your tests. mimesis is a library for fast fake data generation. It has a lot of providers and a lot of built-in languages: https://github.com/pytest-dev/pytest-mimesis

With this plugin you can use mimesis fixture directly in your tests or create reusable fixtures:

​​A process/message visualizer for BEAM nodes: https://github.com/koudelka/visualixir

#elixir #erlang

What is the most complex code you have ever seen? Mine was written in #css. Yeap, styles grow so big and so complex really fast. And here's the tool to prevent it.

Write #shell and #python code together: https://github.com/lamerman/shellpy

Yes, this is wild.

Awesome #elixir tool to create object-ish structs and new data types with real encapsulation. Create smart constructors, private and immutable fields, sum types and many other fun things. https://github.com/timCF/calculus

"Zero setup" cross compilation and "cross testing" of #rust crates: https://github.com/rust-embedded/cross

Something like tox from #python land.

​​A demo to see what is the most input typing delay you can tolerate.

What's yours? Mine is somewhere at 50ms.

https://input-delay.glitch.me/

#js #css

A 18-min podcast about a walk through inventing monads from scratch in #js.

Easy!

#haskell

Things we dislike about #electron:
1. Overhead
2. #js

Introducing Revery! Native apps builder with #reason and #ocaml with almost no overhead! https://github.com/revery-ui/revery

Real #python applications have real data, and real data nests. Objects inside of objects inside of lists of objects.

glom is a new and powerful way to handle real-world data, featuring:

- Path-based access for nested data structures
- Readable, meaningful error messages
- Declarative data transformation, using lightweight, Pythonic specifications
- Built-in data exploration and debugging features

https://github.com/mahmoud/glom

Some languages (like #erlang) have a real philosophy in their core. And philosophy is applied not only to programming, but to life as well.

Read about how #erlang changed person's attitude to life:

​​This is a plugin to facilitate image comparison for #matplotlib figures in #pytest: https://github.com/matplotlib/pytest-mpl

Looks awesome! #python