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 Javanoscript 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

​​A neat #haskell little one liner to avoid duplicating logic across a -> b and b -> Maybe a

It is also implemented in relude library: https://github.com/kowainik/relude/blob/daf6868ac43f634d5f7c0003a3841ab70dbffbb3/src/Relude/Extra/Enum.hs#L38-L62

​​Keeping your system up to date mostly involves invoking more than a single package manager. Topgrade tries to solve this problem by detecting which tools you use and run their appropriate package managers: https://github.com/r-darwish/topgrade

#rust

Enforcing boundaries in #elixir projects without requiring the extra ceremony of umbrella apps: https://github.com/sasa1977/boundaries

Awesome tool to enforce better architecture and a very neat use-case of a custom mix compiler!