awesomecv-jinja 0.1.0

Beautiful LaTeX CV templates powered by Jinja2

awesomecv-jinja

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

Table of Contents

• Features
• Installation
• CLI Usage
• Python API
  • Generate PDF
  • Generate LaTeX only
  • Customize data
  • Document types
  • Advanced: Use Renderer class
• Requirements
• Examples
• Development
• Credits
• License

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

Installation

For CLI usage only (recommended):

pipx install awesomecv-jinja

For Python API usage:

pip install awesomecv-jinja

For PDF generation, install xelatex or use Docker. See docs/docker_setup.md.

CLI Usage

# Generate PDF from YAML
acv resume.yaml

# Specify document type and output
acv data.yaml -d cv -o my_cv.pdf

# Generate LaTeX only (no PDF)
acv resume.yaml --tex-only

# Use local xelatex instead of Docker
acv resume.yaml -e xelatex

# Compile existing .tex file
acv resume.tex

See docs/cli_usage.md for complete CLI documentation.

Python API

Generate PDF

from awesomecv_jinja import render_pdf, load_sample

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

Generate LaTeX only

from awesomecv_jinja import render, load_sample

data = load_sample("resume")
render(data, output="resume.tex")

Customize data

from awesomecv_jinja import render_pdf, load_sample

data = load_sample("resume")
data["first_name"] = "Jane"
data["last_name"] = "Smith"
data["position"] = "Software Engineer"

render_pdf(data, output="jane_smith.pdf")

Document types

from awesomecv_jinja import render_pdf, load_sample

# Resume
render_pdf(load_sample("resume"), doc_type="resume", output="resume.pdf")

# Academic CV
render_pdf(load_sample("cv"), doc_type="cv", output="cv.pdf")

# Cover letter
render_pdf(load_sample("coverletter"), doc_type="coverletter", output="letter.pdf")

Advanced: Use Renderer class

from awesomecv_jinja import Renderer, load_sample

renderer = Renderer(template="awesome_cv")
renderer.render("resume", load_sample("resume"), output="resume.tex")

# List available document types
print(renderer.list_document_types())  # ['resume', 'cv', 'coverletter']

Requirements

• Python 3.10+
• For PDF generation: xelatex (texlive-full) or Docker

Examples

See examples/ directory:

• demo.py — Python API examples
• pdf_example.py — PDF generation
• example_cli.yaml — Sample YAML input

uv run python examples/demo.py

Development

# Fork the repository on GitHub
git clone https://github.com/<your_username>/awesomecv_jinja.git
cd awesomecv_jinja
uv sync
# do something
uv run pytest
git checkout -b feature-branch
git commit -m "Your commit message"
git push origin feature-branch

See CONTRIBUTING.md for contribution guidelines.

Credits

Based on Awesome-CV by @posquit0.

License

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