PHP-ML

Machine Learning library for PHP with algorithms, cross validation, neural networks and more.

EmergingOpen SourceLow lock-in

Pricing

Free tier

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Unverified

Overview

What is PHP-ML?

PHP-ML is a comprehensive machine learning library for PHP developers. It offers a wide range of algorithms, preprocessing tools, feature extraction methods, and support for neural networks, making it suitable for various data science tasks within the PHP ecosystem.

Key differentiator

PHP-ML stands out as the go-to machine learning library for PHP developers, offering comprehensive support for various ML tasks directly within the PHP ecosystem.

Capability profile

Capability Radar

Ease of StartEcosystemValueMaturityFlexibilityScale Ready

Honest assessment

Strengths & Weaknesses

↑ Strengths

Wide range of machine learning algorithmsmedium

Cross validation support for model evaluationmedium

Neural network capabilitiesmedium

Feature extraction and preprocessing toolsmedium

↓ Weaknesses

Limited performance for large datasetshigh

PHP-ML is built on PHP, which can be slower compared to languages like Python or Java for heavy computational tasks.

Small community and limited supportmedium

The project has a relatively small number of contributors and users compared to other machine learning libraries in more popular programming languages.

Lack of advanced feature engineering toolshigh

PHP-ML does not provide as many sophisticated feature extraction or transformation methods available in other, more mature frameworks like scikit-learn.

Poor documentation and examplesmedium

The official documentation lacks comprehensive tutorials and practical examples for complex use cases, making it harder to understand advanced functionalities.

Fit analysis

Who is it for?

✓ Best for

Developers building machine learning capabilities into PHP-based web applications

Projects requiring a self-hosted solution for machine learning in PHP environments

Teams needing to integrate various ML algorithms and preprocessing methods directly within their PHP codebase

✕ Not a fit for

Applications that require real-time streaming data processing (PHP-ML is not optimized for this)

Large-scale distributed computing tasks where specialized frameworks like TensorFlow or PyTorch are more suitable

Projects with strict performance requirements where the overhead of using a PHP library might be prohibitive

Cost structure

Pricing

Free Tier

Available

Open source — free to use

Starts at

$0

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Next step

Get Started with PHP-ML

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →