Neural Networks
Deep learning tools for PHP, from familiar layers to high-performance computing.
View documentation →PHP libraries for practical computing
Machine learning, mathematics, and application frameworks designed to work together.
Deep learning tools for PHP, from familiar layers to high-performance computing.
View documentation →Matrix operations, numerical libraries, plotting, and acceleration options.
View documentation →Modular PHP application architecture with IoC, DI, and AOP support.
View documentation →Practical freedom
Everyone will tell us, “Do you have to use PHP for machine learning?” Experience the processing speed and portability of Rindow. Here is the answer: leave common sense behind and step into a new world.

Healthy systems
Are those who ridicule monoliths free from the spell of modules? The essence of modularization is neither reuse nor distributed development. Separating and discarding parts keeps the whole system healthy.
Open by design
Rindow aims to replace itself with others. What remains when it is gone is the definition of the interface. We build toward interfaces that are independent of Rindow—and a new standard anyone can join.