
Rxiv-Maker Rxiv-Maker is an automated LaTeX article generation system that transforms scientific writing from chaos to clarity. It converts Markdown manuscripts into publication-ready PDFs with reproducible figures, professional typesetting, and zero LaTeX hassle. The platform bridges the gap between easy writing (Markdown) and beautiful output (LaTeX), featuring automated figure generation from Python scripts and Mermaid diagrams, seamless citation management, and integration with GitHub Actions for cloud-based PDF generation. Rxiv-Maker enhances the capabilities of traditional scientific writing by ensuring version control compatibility, facilitating reproducible science workflows, and providing professional formatting that meets publication standards. Key Features 20+ enhanced Markdown extensions for scientific writing Pre-build validation with actionable feedback Python and Mermaid-based figure generation with caching GitHub Actions integration for cloud PDF generation Professional LaTeX templates and citation styles Reproducible builds with version control Supports local, Colab, and GitHub workflows Benefits Accessible: Write in Markdown without LaTeX knowledge Reproducible: Version-controlled with automated figure generation Flexible: Use locally, in the cloud, or with GitHub Actions Professional: High-quality LaTeX output, cross-references, and citations Collaborative: Git workflows for manuscript co-editing Extensible: Customizable templates and figure scripts Quickstart Options Choose your setup based on your needs: User Type Best Option Requirements New to coding Google Colab Google Account Want automation GitHub Actions GitHub Account Full control Local install Python, LaTeX, Make Google Colab (No installation) Open in your browser: https://colab.research.google.com/github/HenriquesLab/rxiv-maker/blob/main/notebooks/rxiv_maker_colab.ipynb GitHub Actions (Automated) Fork the repository Run the "Build and Release PDF" workflow Download the generated PDF Local Setup git clone https://github.com/henriqueslab/rxiv-maker.git cd rxiv-maker python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate make setup make validate MANUSCRIPT_PATH=EXAMPLE_MANUSCRIPT make pdf MANUSCRIPT_PATH=EXAMPLE_MANUSCRIPT Core Workflow Write your manuscript in 01_MAIN.md Configure metadata in 00_CONFIG.yml Create figures (Python, Mermaid, or image files) Validate manuscript (make validate) Build PDF (make pdf) or trigger via GitHub Actions Collaborate using Git and automated workflows Documentation Google Colab Tutorial – browser-based, no install GitHub Actions Tutorial – cloud automation and team collaboration User Guide – all features and setup instructions Platform Guides – installation for Windows, macOS, and Linux Architecture Overview – technical details and structure Docs available at: https://github.com/henriqueslab/rxiv-maker/tree/main/docs Project Structure rxiv-maker/ ├── MANUSCRIPT/ # Manuscript input files ├── output/ # Generated PDFs ├── src/ # Source code └── docs/ # Documentation Contributing We welcome contributions! See the contributing guide. To get started: git clone https://github.com/henriqueslab/rxiv-maker.git pip install -e ".[dev]" pre-commit install Contributing We welcome contributions! See the contributing guide. To get started: git clone https://github.com/henriqueslab/rxiv-maker.git pip install -e ".[dev]" pre-commit install License MIT License – see LICENSE for details. © 2025 Jacquemet and Henriques Labs“Because science is hard enough without fighting with LaTeX.”
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
