#17 · Primary category: Classical Machine Learning Frameworks

ML

analytics anomaly-detection classification clustering deep-learning machine-learning natural-language-processing php regression

A high-level machine learning and deep learning library for the PHP language.

Project last updated:08/29/26

GitHub Stars

2.2K

Forks

193

Contributors

40

License

MIT

Why we included this project

Rubix ML is a machine learning library that runs entirely inside PHP, so teams working in that language can add predictive features without spinning up a separate Python or R service. It provides over 40 supervised and unsupervised algorithms, covering classification, regression, clustering, and anomaly detection, and the same library handles data loading, preprocessing, cross-validation, and model persistence. That makes it a practical fit for building recommendation or fraud-detection logic directly into PHP web services or batch jobs. The project also includes a set of tutorials and example projects that help developers new to ML get oriented. For PHP shops that want to keep their ML work in the same codebase, this is a mature and well-documented choice.

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