ID3-based implementation of the ML Decision Tree algorithm
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/igrigorik/decisiontree?utm_source=readme_chart)Compact Shields-style badges for your README header. Shows real-time stars and global ranking.
[](https://githubrepo.cloud/repo/igrigorik/decisiontree?utm_source=readme_badge) [](https://githubrepo.cloud/repo/igrigorik/decisiontree?utm_source=readme_badge) [](https://githubrepo.cloud/repo/igrigorik/decisiontree?utm_source=readme_badge)Momentum
+37
STARS · LAST 30 DAYS
1
PER DAY
#183
MOST-STARRED Ruby
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +37 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
decisiontree gained 37 stars in the last 30 days, about 1 a day, and now has 1.5K. It is about 18 years old and has averaged roughly 83 stars a year. It ranks #183 among Ruby repositories and #3,328 across all languages on GitHubRepo.
Trending Record
59
DAYS ON TRENDING
#100
BEST RANK
Feb 23, 2009
FIRST APPEARANCE
Active
STATUS TODAY
decisiontree has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:
💡 Overview
decisiontree is an open-source project written in Ruby: ID3-based implementation of the ML Decision Tree algorithm.
Engineered for speed, consistency, and developer ease, it solves common hurdles in decision-tree, machine-learning, 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/igrigorik/decisiontree.git
cd decisiontree⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Ruby >= 3.1 with Bundler
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
decisiontree 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 decisiontree 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 decisiontree using your package manager: `git clone https://github.com/igrigorik/decisiontree.git`
Initialize your project workspace or configuration file for decisiontree.
Import decisiontree into your codebase or invoke it directly from your terminal.
Execute your test suite or run `decisiontree --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
igrigorik/decisiontree is currently ranked #3,328 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #3,323 | sebastianbergmann/type | PHP | ★ 1.5K | Compare ↗ |
| #3,324 | willmiao/ComfyUI-Lora-Manager | Python | ★ 1.5K | Compare ↗ |
| #3,324 | SChernykh/p2pool | C++ | ★ 1.5K | Compare ↗ |
| #3,326 | redis-store/redis-store | Ruby | ★ 1.5K | Compare ↗ |
| #3,327 | cheeaun/phanpy | JavaScript | ★ 1.5K | Compare ↗ |
| #3,328 | igrigorik/decisiontree This Project | Ruby | ★ 1.5K | |
| #3,328 | microsoft/hve-core | Python | ★ 1.5K | Compare ↗ |
| #3,329 | Mak5er/AirCard-iOS | Swift | ★ 1.5K | Compare ↗ |
| #3,329 | martinus/unordered_dense | C++ | ★ 1.5K | Compare ↗ |
| #3,329 | MultiQC/MultiQC | JavaScript | ★ 1.5K | Compare ↗ |
| #3,332 | jonnyoo/glance | Swift | ★ 1.5K | Compare ↗ |
Frequently Asked Questions
What does decisiontree do? +
ID3-based implementation of the ML Decision Tree algorithm
What language is decisiontree written in? +
The primary language is Ruby. Topics include: decision-tree, machine-learning, ruby, rubyml.
Is decisiontree actively maintained? +
Yes, the last recorded push was on Oct 31, 2018 with 10 open issues being tracked.
How many stars does decisiontree have? +
decisiontree has 1,493 stars and 132 forks on GitHub.
How does decisiontree rank among GitHub repositories? +
With 1,493 stars, igrigorik/decisiontree is ranked #3,328 globally across all repositories tracked on GitHubRepo and #183 among Ruby projects.
What license is decisiontree distributed under? +
No SPDX license identified yet. Code without a license is subject to copyright by default.
