awesomecv-jinja¶

Generate professional CVs, resumes, and cover letters from YAML/JSON data using Awesome-CV LaTeX templates.

Features¶

• 🎨 Professional templates — Based on Awesome-CV LaTeX templates
• 🚀 Simple API — From data to PDF in one function call
• 🔧 Jinja2 templating — Dynamic content generation with custom delimiters
• 🐳 Flexible compilation — Local xelatex or Docker (no LaTeX installation required)
• 📝 Multiple formats — Generate .tex, .pdf, or both
• 🔌 Extensible — Add your own LaTeX templates

Quick Start¶

Installation:

pipx install awesomecv-jinja

Generate PDF:

acv resume.yaml

Python API:

from awesomecv_jinja import render_pdf, load_sample

data = load_sample("resume")
render_pdf(data, output="resume.pdf")

Documentation¶

• CLI Usage — Complete command-line interface guide
• Docker Setup — Docker setup for PDF compilation
• Template Variables — Available template variables

Links¶

• GitHub Repository
• PyPI Package
• Original Awesome-CV

License¶

• Code: MIT
• Awesome-CV templates: LPPL-1.3c