The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
Star History
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+714
STARS · LAST 30 DAYS
24
PER DAY
#89
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +32 | +714 | +2.2K |
| Per day | 5 | 24 | 24 |
| Forks gained | +0 | +101 | +253 |
Resume-Matcher gained 714 stars in the last 30 days, about 24 a day, and now has 28.6K. It is about 6 years old and has averaged roughly 4.8K stars a year. It ranks #89 among Python repositories and #442 across all languages on GitHubRepo.
Trending Record
11
DAYS ON TRENDING
#489
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Resume-Matcher has maintained a continuous presence across global trending indexes, peaking at #489. Below is the 30-day activity profile:
💡 Overview
Resume-Matcher is an open-source project written in Python: The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
Engineered for speed, consistency, and developer ease, it solves common hurdles in applicant-tracking-system, ats, hacktoberfest. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install Resume-Matcher⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Resume-Matcher coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Modern Web Interfaces
Build dynamic, responsive user experiences with component-driven architecture.
Enterprise Design Systems
Standardize design tokens, accessible widgets, and themes across engineering teams.
Interactive Data Dashboards
Render real-time telemetry, user feeds, and analytics with sub-millisecond updates.
Cross-Platform Web Apps
Deploy performant single-page applications optimized for both mobile and desktop browsers.
🚀 Getting Started
Install Resume-Matcher using your package manager: `pip install Resume-Matcher`
Initialize your project workspace or configuration file for Resume-Matcher.
Import Resume-Matcher into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Resume-Matcher --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
srbhr/Resume-Matcher is currently ranked #442 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #437 | envoyproxy/envoy | C++ | ★ 29K | Compare ↗ |
| #438 | dmlc/xgboost | C++ | ★ 28.8K | Compare ↗ |
| #439 | ml-explore/mlx | C++ | ★ 28.7K | Compare ↗ |
| #440 | microsoft/semantic-kernel | C# | ★ 28.6K | Compare ↗ |
| #441 | yamadashy/repomix | TypeScript | ★ 28.6K | Compare ↗ |
| #442 | srbhr/Resume-Matcher This Project | Python | ★ 28.6K | |
| #443 | kestra-io/kestra | Java | ★ 28.6K | Compare ↗ |
| #444 | HumanSignal/label-studio | TypeScript | ★ 28.4K | Compare ↗ |
| #445 | QwenLM/qwen-code | TypeScript | ★ 28.3K | Compare ↗ |
| #446 | mlflow/mlflow | Python | ★ 28.2K | Compare ↗ |
| #447 | mobxjs/mobx | TypeScript | ★ 28.2K | Compare ↗ |
Frequently Asked Questions
What does Resume-Matcher do? +
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
What language is Resume-Matcher written in? +
The primary language is Python. Topics include: applicant-tracking-system, ats, hacktoberfest, machine-learning, natural-language-processing.
Is Resume-Matcher actively maintained? +
Yes, the last recorded push was on Sep 29, 2026 with 60 open issues being tracked.
How many stars does Resume-Matcher have? +
Resume-Matcher has 28,561 stars and 5,060 forks on GitHub.
How does Resume-Matcher rank among GitHub repositories? +
With 28,561 stars, srbhr/Resume-Matcher is ranked #442 globally across all repositories tracked on GitHubRepo and #89 among Python projects.
What license is Resume-Matcher distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
