I know I know, yet another resume generation project. The ones I've encountered built in python are either inactive or didn't quite address what I wanted in a quick generation engine to update my resume for different job postings. I became frustrated with other tools and declined to pay money for an online service, so here we are.
This is a CLI tool which allows for defining resume content in a single YAML file and then generating PDF, HTML, or LaTeX rendered resumes from it. The idea is to write the configuration once, then be able to render it in a variety of different iterations.
Some key details:
It comes with a few templates and color schemes that you can customize.
For academic use, the LaTeX output gives you precise typesetting control.
There's a Python API if you want to generate resumes programmatically. It's designed to have a limited surface area to not expose inner workings, only the necessary structures as building blocks.
The codebase has over 90% test coverage and is fully type-hinted. I adhered to a functional core, imperative shell architecture (after reading a recent post about it here!)
Example YAML:
template: resume_base
full_name: Jane Doe
job_title: Software Engineer
email: jane@example.com
config:
color_scheme: "Professional Blue"
body:
experience:
- title: Senior Engineer
company: TechCorp
start: 2022
end: Present
description: |
- Led microservices architecture serving 1M+ users
- Improved performance by 40% through optimization
uhgrippa•2mo ago
This is a CLI tool which allows for defining resume content in a single YAML file and then generating PDF, HTML, or LaTeX rendered resumes from it. The idea is to write the configuration once, then be able to render it in a variety of different iterations.
Some key details:
It comes with a few templates and color schemes that you can customize.
For academic use, the LaTeX output gives you precise typesetting control.
There's a Python API if you want to generate resumes programmatically. It's designed to have a limited surface area to not expose inner workings, only the necessary structures as building blocks.
The codebase has over 90% test coverage and is fully type-hinted. I adhered to a functional core, imperative shell architecture (after reading a recent post about it here!)
Example YAML:
Generate with: