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best-resume-ever vs RenderCV

Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.

best-resume-ever

Open source · MIT

Open-source Vue tool that builds PDF resumes from a YAML data file and multiple layouts.

RenderCV

Open source · MIT

Write a resume as a YAML text file and render it to a PDF with consistent formatting.

The short answer

Choose best-resume-ever if you need…

  • Developers comfortable running a few npm commands who want a resume they can version-control
  • People who want to keep one set of resume data and produce several layout variants from it
  • Users who prefer editing a text file over using a drag-and-drop resume builder
  • People who need right-to-left layouts, as the README shows RTL variants

Choose RenderCV if you need…

  • Academics who need a long CV with publications and education sections
  • Engineers who prefer editing text files over word processors
  • People who want to keep their resume in Git and regenerate it after changes
  • Users who want to choose from several built-in themes and adjust colors, margins and fonts

Side-by-side

best-resume-everRenderCV
TypeAppApp
PriceFree and open sourceFree and open source
LicenceMITMIT
GitHub stars16.5k17.9k
Setup difficultyIntermediateIntermediate
How you get itClone and build from sourceInstall with a package manager
Main languageVuePython
Last code update2 years ago6 days ago

What each one is

best-resume-ever

best-resume-ever is a free, MIT-licensed project that generates resumes as PDFs. You put your details in a data.yml file and a profile photo in a folder, then pick from several built-in layouts (such as Cool, Creative, Green, Purple, and Side Bar) to preview and export your resume. It is built with Vue and LESS and runs on Node.js.

RenderCV

RenderCV is a tool that turns a resume or CV written in a plain YAML text file into a formatted PDF. You fill in your details in the file, run one command, and it handles layout, spacing and typography. Because the source is plain text, it can be tracked in version control and edited with an editor that supports YAML.

Best for

best-resume-ever

  • Developers comfortable running a few npm commands who want a resume they can version-control
  • People who want to keep one set of resume data and produce several layout variants from it
  • Users who prefer editing a text file over using a drag-and-drop resume builder
  • People who need right-to-left layouts, as the README shows RTL variants

RenderCV

  • Academics who need a long CV with publications and education sections
  • Engineers who prefer editing text files over word processors
  • People who want to keep their resume in Git and regenerate it after changes
  • Users who want to choose from several built-in themes and adjust colors, margins and fonts

Strengths

best-resume-ever

  • Separates resume content (YAML data) from layout, so one dataset can feed several designs
  • Ships with multiple layouts, including RTL variants, shown in the README previews
  • MIT license and a large star count indicate a widely used, freely reusable project

RenderCV

  • Plain-text source files that work well with version control
  • Strict validation reports errors with the location of the problem, according to the README
  • Multiple themes and detailed design options such as margins, colors and typography

Not ideal for

best-resume-ever

  • Non-technical users who cannot install Node.js or use a terminal, since setup requires cloning a repo and running npm commands
  • People who want to edit resumes visually in a browser without touching files, because the workflow is file-based
  • Anyone needing a resume format or layout not included, since adding templates requires developer docs (DEVELOPER.md) and code changes

RenderCV

  • People who want a visual drag-and-drop editor, since the README describes writing YAML by hand
  • Users who need a non-English layout without setting the locale fields, since localization is configured manually
  • Anyone uncomfortable with installing Python packages or using a command line

Trade-offs

best-resume-ever

  • Setup depends on Node.js and npm, which is a barrier for non-developers
  • The README is truncated and does not state the current Node.js version beyond 8.5.0 minimum, and the last push date is June 2024, so maintenance status is unclear
  • No release is published, so you install from the main branch source

RenderCV

  • Requires writing YAML, which has a learning curve for non-technical users
  • Output quality and features depend on the README's described options; the README is truncated so not all details were verified
  • Setup requires Python 3.12 or newer, per the README

Getting started

best-resume-ever

Clone the repository

git clone https://github.com/salomonelli/best-resume-ever.git

Install dependencies (run inside the cloned folder)

npm install
Step-by-step guide: how to use best-resume-ever

RenderCV

Install RenderCV

pip install "rendercv[full]"

Create a new CV file

rendercv new "John Doe"
Step-by-step guide: how to use RenderCV

Frequently asked questions

What is the difference between best-resume-ever and RenderCV?

best-resume-ever: Open-source Vue tool that builds PDF resumes from a YAML data file and multiple layouts. RenderCV: Write a resume as a YAML text file and render it to a PDF with consistent formatting. best-resume-ever suits developers comfortable running a few npm commands who want a resume they can version-control, while RenderCV suits academics who need a long cv with publications and education sections.

Are best-resume-ever and RenderCV free?

best-resume-ever: Free and open source. RenderCV: Free and open source.

Is best-resume-ever or RenderCV more popular?

RenderCV has more GitHub stars (17.9k) than best-resume-ever (16.5k). Popularity isn't the same as fit — check which one matches your use case above.

What are other alternatives to best-resume-ever and RenderCV?

Other options people compare them with include Reactive Resume.

Keep comparing

Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.