RubixML/ML

Health v2 · maintenance only

Adoption not part of the score

2204 stars · 193 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Rubix ML is a high-level open-source machine learning and deep learning library for PHP, offering 40+ supervised and unsupervised algorithms. It covers the full ML lifecycle including ETL, preprocessing, training, cross-validation, and production deployment.

Use cases

• train a classifier in php
• do regression analysis with php
• cluster data using php
• detect anomalies in my dataset
• build a deep learning model in php
• run nlp tasks like sentiment analysis in php
• preprocess and etl data for machine learning in php
• cross-validate models in a php app

When to choose

• your project is written in PHP and you want in-process machine learning
• you need a broad set of ML algorithms with a developer-friendly API
• you want ETL, training, and validation in one library
• you need a commercially usable MIT-licensed ML library

When to avoid

• you need cutting-edge deep learning with GPU acceleration and large ecosystem support
• your stack is Python-based where scikit-learn or PyTorch are more mature
• you need distributed large-scale training

Facets

library · maturity active

machine-learning deep-learning nlp data-science etl machine-learning data-science php classification clustering regression anomaly-detection cross-validation supervised-learning unsupervised-learning natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="RubixML/ML")