A high-level machine learning and deep learning library for the PHP language.
Star History
Momentum
+55
STARS · LAST 30 DAYS
2
PER DAY
#124
MOST-STARRED PHP
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +14 | +55 | +180 |
| Per day | 2 | 2 | 2 |
| Forks gained | +1 | +4 | +10 |
ML gained 55 stars in the last 30 days, about 2 a day, and now has 2.2K. It is about 9 years old and has averaged roughly 245 stars a year. It ranks #124 among PHP repositories and #1,768 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#1950
BEST RANK
Sep 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
ML has maintained a continuous presence across global trending indexes, peaking at #1950. Below is the 30-day activity profile:
💡 Overview
ML is an open-source project written in PHP: A high-level machine learning and deep learning library for the PHP language.
Engineered for speed, consistency, and developer ease, it solves common hurdles in analytics, anomaly-detection, classification. 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 PHP 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/RubixML/ML.git
cd ML⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
PHP >= 8.2 with Composer
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
ML coordinates its core functionality through a modular PHP 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 ML into PHP 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 MIT license.
🚀 Getting Started
Install ML using your package manager: `git clone https://github.com/RubixML/ML.git`
Initialize your project workspace or configuration file for ML.
Import ML into your codebase or invoke it directly from your terminal.
Execute your test suite or run `ML --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with PHP, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
RubixML/ML is currently ranked #1,768 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,762 | bpg/terraform-provider-proxmox | Go | ★ 2.2K | Compare ↗ |
| #1,764 | floneum/kalosm | Rust | ★ 2.2K | Compare ↗ |
| #1,765 | lloyd/yajl | C | ★ 2.2K | Compare ↗ |
| #1,766 | mojombo/god | Ruby | ★ 2.2K | Compare ↗ |
| #1,767 | cortexkit/magic-context | TypeScript | ★ 2.2K | Compare ↗ |
| #1,768 | RubixML/ML This Project | PHP | ★ 2.2K | |
| #1,769 | kubernetes-sigs/karpenter | Go | ★ 2.2K | Compare ↗ |
| #1,770 | thoughtbot/shoulda | Ruby | ★ 2.2K | Compare ↗ |
| #1,771 | nextcloud/spreed | JavaScript | ★ 2.2K | Compare ↗ |
| #1,771 | tauri-apps/tao | Rust | ★ 2.2K | Compare ↗ |
| #1,773 | Pinvou/pinvou-agent | Rust | ★ 2.2K | Compare ↗ |
Frequently Asked Questions
What does ML do? +
A high-level machine learning and deep learning library for the PHP language.
What language is ML written in? +
The primary language is PHP. Topics include: analytics, anomaly-detection, classification, clustering, deep-learning.
Is ML actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 66 open issues being tracked.
How many stars does ML have? +
ML has 2,208 stars and 193 forks on GitHub.
How does ML rank among GitHub repositories? +
With 2,208 stars, RubixML/ML is ranked #1,768 globally across all repositories tracked on GitHubRepo and #124 among PHP projects.
What license is ML distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
