Radar check
What we found when we opened it. Every bar is one fact, with its date.
Last code pushed 23 Oct 2026, 3 days before this check.
Latest release v1.4.0 on 21 Oct 2026.
Public since April 2020, a little over 6 years.
28,866 stars and 5,098 forks.
768 commits and 60 new issues in the last 90 days.
103 contributors. 74 pull requests merged in 90 days.
A security policy says how to report a problem. No published security advisories.
How the bars are scored
- Alive. Days since the last code push: a week or less 100, a month 90, three months 70, six months 50, a year 30, eighteen months 15, older 0.
- Releases. Age of the latest GitHub release, on a similar scale; no bar when the project publishes no releases.
- Maturity. Age of the project: eight years 100, five 90, three 70, two 55, one 40, six months 25, younger 10.
- Adoption. Stars on a log scale: 100,000 stars is 100, 10,000 is 80, 1,000 is 60, 100 is 40.
- Activity. Commits in the last 90 days: 300 or more 100, 100 85, 30 65, 10 45, any 25.
- Community. People who have contributed: 100 or more 100, 30 80, 10 60, 5 40, 2 25, one 10.
- Security. A published security policy 80, none 40; published advisories are listed, not scored.
Checked by Repo Radar on 26 Oct 2026 from the repository on GitHub.
In simple English
This tool helps you rewrite your resume for every job you apply for. You upload your main resume and paste a job description. The program suggests improvements that match the job requirements. It runs on your own computer and keeps your data private. You can use free local models or connect your own cloud artificial intelligence keys.
What it is
Resume Matcher is a self-hosted web application built with a Python backend and a Next.js (a React framework for building fast web applications) frontend. It parses resumes and job descriptions, calculates keyword match scores, generates tailored content and cover letters, and exports professional PDF files.
What it is good for
Job seekers who want to tailor their resumes for specific applicant tracking systems without uploading their career history to a third-party website.
- Runs locally on your machine or inside a Docker container (a way to run a program inside its own sealed box, so it cannot break anything else on your server).
- Supports over one hundred artificial intelligence models, including free local options via Ollama (a tool for running language models on your own computer).
- Includes built-in applicant tracking system score calculation and PDF export templates.
- Requires technical setup using the command-line interface (a text-based way to control your computer) and Node.js.
- Consumes moderate system memory when running local language models or headless browsers.
- Requires you to provide your own cloud application programming interface keys or run local models.
manual resume editing and commercial resume-tailoring websites
Ollama
- sphinx-doc/sphinx8.1k stars
Builds a documentation website, and a PDF, from text files and from the comments beside the code.
- facebook/docusaurus67k stars
A static site generator from Meta that turns Markdown files into a documentation website.
git clone https://github.com/srbhr/Resume-Matcher.git cd Resume-Matcher cd apps/backend cp .env.example .env uv sync uv run app