#templating #projects #developer #remember #consistent #task #command

angreal

Angreal is a tool for templating projects and associated processes to provide a consistent developer experience across multiple projects

17 stable releases

new 2.1.4 Apr 11, 2024
2.1.3 Feb 15, 2024
2.1.2 Nov 22, 2023
2.1.0 Sep 22, 2023
2.0.0 Jan 26, 2023

#97 in Template engine

GPL-3.0-only

3.5MB
2K SLoC

Rust 1.5K SLoC // 0.0% comments Python 614 SLoC // 0.3% comments

Angreal

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Docs are available here.

Angreal is meant to:

  • allow the consistent creation of projects
  • provide consistent methods for interacting with projects

Quick Start

  1. Install via pip
  2. Initialize a project from a template
  3. Use the template
$: pip install 'angreal>=2' #pip install angreal will also work
$: angreal init https://github.com/angreal/python

What is it?

Angreal is an attempt to solve two problems that I was running into in both my personal and professional life as a data scientist and software developer. I do things often enough that they needed automation, I don't do things so often that I remember all of the steps/commands I might need to get them done. Angreal solves this problem by allowing me to remember by forgetting : I only have to remember the command to do something not the actual steps to complete the task.

How does it solve these challenges ?

Angreal provides a way to template the structure of projects and a way of executing methods for interacting with that project in a consistent manner. These methods (called tasks) travel with the project so while templated initially, they're customizable to the project - allowing some level of flexibility in how a task functions between projects.

Why 2.0 ?

The original angreal was built on top of a number of python modules that were under active development and used by a number of other projects. The nature of the application itself meant that core application found itself in dependency hell regularly - and became rather annoying to use. The 2.0.0 release is a complete rewrite that uses Rust to provide a compiled binary with the goal that it will require no external python dependencies.

Dependencies

~37–57MB
~1M SLoC