Simple naive bayesian classifier implemented in Ruby
⚡ Executive Summary & Quick Facts
Authoritative Sourcenaive-bayes is naive-bayes is an open-source project written in Ruby: Simple naive bayesian classifier implemented in Ruby..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), sausheong/naive-bayes has accumulated 66 GitHub stars and 19 forks. It is written in Ruby, licensed under Open Source, and ranks #23,070 globally. It is actively maintained with the latest commit recorded on Jul 26, 2017.”
| Repository | sausheong/naive-bayes ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Ruby |
| Software License | Open Source (Check repository LICENSE) |
| Community Traction | ★ 66 stars · ⑂ 19 forks · #23,070 globally |
| Maintenance | ● Active (Last commit: Jul 26, 2017) · 1 open issues |
| Target Audience | Developers and engineering teams building with Ruby, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 53/100 · Grade DNote: naive-bayes displays slower maintenance activity. Continuous telemetry recorded the last code commit on Jul 26, 2017 (3384 days ago). Supported by 66 stars and 19 community forks, this repository holds a calculated health index of 53/100, reflecting dormant (3384 days since last push) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,591
MOST-STARRED Ruby
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
naive-bayes gained 10 stars in the last 30 days, about 1 a day, and now has 66. It is about 17 years old and has averaged roughly 4 stars a year. It ranks #1,591 among Ruby repositories and #23,070 across all languages on GitHubRepo.
Trending Record
35
DAYS ON TRENDING
#100
BEST RANK
Dec 14, 2009
FIRST APPEARANCE
Active
STATUS TODAY
naive-bayes has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:
💡 Overview
naive-bayes is an open-source project written in Ruby: Simple naive bayesian classifier implemented in Ruby.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Ruby. 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 Ruby 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
$ git clone https://github.com/sausheong/naive-bayes.git
cd naive-bayes⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Ruby >= 3.1 with Bundler
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
naive-bayes coordinates its core functionality through a modular Ruby 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
Production System Integration
Embed naive-bayes into Ruby backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open source license.
🚀 Getting Started
Install naive-bayes using your package manager: `git clone https://github.com/sausheong/naive-bayes.git`
Initialize your project workspace or configuration file for naive-bayes.
Import naive-bayes into your codebase or invoke it directly from your terminal.
Execute your test suite or run `naive-bayes --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Ruby, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
sausheong/naive-bayes is currently ranked #23,070 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #23,024 | guolola/SoftJL | TypeScript | ★ 67 | Compare ↗ |
| #23,024 | langchain-ai/design-agent | JavaScript | ★ 67 | Compare ↗ |
| #23,024 | BlaiseLabs/procedural-almanac | JavaScript | ★ 67 | Compare ↗ |
| #23,024 | globalmpc/nomore | TypeScript | ★ 67 | Compare ↗ |
| #23,024 | oilcorporatebarn/aegis-skinfees | TypeScript | ★ 67 | Compare ↗ |
| #23,070 | sausheong/naive-bayes This Project | Ruby | ★ 66 | |
| #23,070 | toretore/zippy | Ruby | ★ 66 | Compare ↗ |
| #23,070 | hyphaltip/genome-scripts | Perl | ★ 66 | Compare ↗ |
| #23,070 | zacharyvoase/zenqueue | Python | ★ 66 | Compare ↗ |
| #23,070 | jerodsanto/wordpress-console | PHP | ★ 66 | Compare ↗ |
| #23,070 | spazproject/spaz-desktop-air | JavaScript | ★ 66 | Compare ↗ |
Frequently Asked Questions
What does naive-bayes do? +
Simple naive bayesian classifier implemented in Ruby
Is naive-bayes actively maintained in 2026? +
Note: naive-bayes exhibits slower recent commit activity. The latest code push was recorded on Jul 26, 2017 (3384 days ago). It holds a calculated Maintenance Health Score of 53/100 (D rating) with 66 stars and 1 open issues.
What language is naive-bayes written in? +
The primary language is Ruby. Topics include: software.
How many stars does naive-bayes have? +
naive-bayes has 66 stars and 19 forks on GitHub.
How does naive-bayes rank among GitHub repositories? +
With 66 stars, sausheong/naive-bayes is ranked #23,070 globally across all repositories tracked on GitHubRepo and #1,591 among Ruby projects.
What license is naive-bayes distributed under? +
No SPDX license identified yet. Code without a license is subject to copyright by default.
