Awesome PHP Machine Learning & AI

The most comprehensive curated list of Machine Learning, Artificial Intelligence, NLP, LLM and Data Science libraries for PHP.

Inspired by awesome-php and the broader Awesome ecosystem.

Goal: make it easy to build intelligent systems with PHP — from classic ML to modern LLM-based workflows.

Want to add a project? See the Contributing section below for inclusion criteria and submission guidance.

Contents

• Contents
• Requirements
• What is this?
• How to use this list
• Quick Start
• Example "recipes"
• Recommended core stack
• Legend
• Machine Learning
• Deep Learning & Neural Networks
• Natural Language Processing
• Computer Vision, Image & Video Processing
• Math, Statistics & Linear Algebra
• Core ML Infrastructure
• LLMs & AI APIs
• Embeddings & Vector Search
• Data Processing
• Interop & Model Serving
• Tools & Utilities
• Laravel & Framework Integrations
• Symfony & Framework Integrations
• WordPress Integrations
• Resources
• Support this project

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Requirements

PHP Version Requirements:

• Minimum: PHP 7.4+ (most libraries already support PHP 8.1+/8.2+)
• Recommended: PHP 8.1+ for best performance and features
• Latest features: PHP 8.2+ for some cutting-edge libraries

Common dependencies:

• Extensions: mbstring, curl, json, gd (for image processing)
• Optional: redis, pdo_pgsql (for vector search), ffi (for native bindings)

Memory considerations:

• Basic ML: 256MB+ RAM
• Neural networks: 512MB+ RAM
• Large datasets: 1GB+ RAM recommended

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What is this?

• Curated list of PHP libraries and tools for Machine Learning, AI, NLP, LLMs and Data Science.
• Focused on code-first resources: packages, SDKs, frameworks, and building blocks.
• Aimed at PHP developers who want to add intelligent features to existing apps or build new AI-powered systems.

How to use this list

• Classic ML / traditional models – start with php-ai/php-ml and RubixML/RubixML.
• LLM-powered apps & agents – see LLMs & AI APIs, Embeddings & Vector Search, and framework integrations (Laravel/Symfony).
• RAG (Retrieval-Augmented Generation) – combine php-rag with vector databases like pgvector or Meilisearch.
• Numerical computing & math – explore Core ML Infrastructure for tensors and matrices, and Math, Statistics & Linear Algebra for statistics and related math.
• Production integration – use Interop & Model Serving and framework integrations to wire models into real apps.

Quick Start

For beginners new to PHP ML/AI:

# Install a core ML library
composer require rubix/ml
composer require php-ai/phpml

# Install LLM client
composer require openai-php/client

# Install vector search for RAG
composer require llphant/llphant

Basic examples:

• Classification: Use RubixML/RubixML with KNearestNeighbors for simple classification tasks
• LLM integration: Use openai-php/client to call GPT models from PHP
• Text analysis: Use php-ai/php-ml for sentiment analysis and tokenization
• Vector search: Use LLPhant/LLPhant with pgvector for semantic search

Example "recipes"

• I want to build a Laravel RAG app
  Use an LLM client like 🌟 openai-php/client, embeddings + vector search via 🌟 LLPhant/LLPhant with 🌟 pgvector/pgvector or 🌟 meilisearch/meilisearch-php, and orchestrate agents/RAG flows with 🌟 neuron-core/neuron-ai, integrating into Laravel using 🌟 openai-php/laravel and the packages under Laravel & Framework Integrations.

• I only need translation or vision
  For translation, see 🌟 deepl-php and 🌟 googleapis/google-cloud-php under Interop & Model Serving. For image/vision workloads, combine Computer Vision, Image & Video Processing libraries with cloud AI services via 🌟 symfony/ai or openai-php/client from LLMs & AI APIs.

Recommended core stack

These are opinionated defaults you can reach for when you just want something that works in production.

• General ML: 🌟 RubixML/RubixML for end-to-end ML pipelines.
• LLM clients: 🌟 openai-php/client and 🌟 google-gemini-php/client for major model providers.
• Embeddings & vector search: 🌟 LLPhant/LLPhant with 🌟 pgvector/pgvector, 🌟 pgvector/pgvector-php, 🌟 meilisearch/meilisearch-php or 🌟 algolia/algoliasearch-client-php.
• Data processing: 🌟 flow-php/flow for typed ETL-style pipelines.
• Interop with Python ML: 🌟 swoole/phpy to call into the Python ecosystem when needed.

Legend

Not all projects are tagged yet – we're gradually adding markers as the ecosystem evolves. Treat them as rough guidance, not strict rules.

• 🌟 – widely used / production-ready projects
• 🧪 – experimental or research-oriented projects
• ⚠️ – projects with limited maintenance, older APIs, or niche usage; review before using in new projects

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Machine Learning

Core PHP libraries for supervised/unsupervised learning, classification, regression, and clustering.

• 🌟 CodeWithKyrian/transformers-php – A PHP toolkit for running Hugging Face–style Transformer models with ONNX Runtime (text generation, summarization, classification, etc.)
• ⚠️ danielefavi/brainy – Simple PHP class for neural networks and machine learning
• dr-que/polynomial-regression – Polynomial regression for PHP
• ⚠️ pecl/svm – PHP extension providing bindings to the LIBSVM library for Support Vector Machine classification and regression
• 🌟 php-ai/php-ml – Core machine learning algorithms for PHP
• php-ai/php-ml-examples – Practical examples for PHP-ML
• sphamster/bayes – Naive Bayes classifier implementation in PHP for probabilistic classification tasks

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Deep Learning & Neural Networks

PHP libraries for neural networks, deep learning architectures, and advanced learners built on tensors.

• 🧪 rindow/rindow-neuralnetworks – Deep learning framework for PHP providing neural network layers, training utilities, and GPU/accelerated backends via the Rindow numerical computing ecosystem
• 🌟 RubixML/RubixML – High-level ML framework with pipelines and datasets

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Natural Language Processing

Text processing, tokenization, language detection, sentiment analysis and other NLP tasks in PHP.

• ⚠️ angeloskath/php-nlp-tools – Natural Language Processing tools
• 🌟 ankane/mitie-php – PHP bindings for the MITIE NLP library providing named entity recognition (NER), text classification, and feature extraction using pre-trained statistical models
• davmixcool/php-sentiment-analyzer – Lightweight PHP library for sentiment analysis using lexical rules
• friteuseb/nlp_tools – Extension for NLP methods and text analysis
• ⚠️ googlei18n/myanmar-tools – Myanmar text encoding detection and Zawgyi ↔ Unicode conversion using a trained model (includes PHP support)
• ⚠️ patrickschur/language-detection – Language detection library
• 🧪 RubixML/Sentiment – Example project demonstrating sentiment analysis with a neural network (IMDB reviews) using Rubix ML in PHP
• 🧪 SerafimArts/TF-IDF – Simple TF-IDF implementation for keyword extraction and text relevance scoring in PHP
• voku/stop-words – Stop word lists for many languages
• yooper/php-text-analysis – Sentiment analysis and NLP tools

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Computer Vision, Image & Video Processing

Image manipulation, preprocessing, and computer vision workloads from PHP.

• 🧪 aschmelyun/subvert - Generate subtitles, summaries, and chapters from videos in seconds
• 🧪 b7s/fluentvision – Fluent PHP API for computer vision with YOLO and NanoDet backends, supporting object detection, segmentation, classification, image/video annotation, and open-vocabulary detection
• 🌟 [Intervention/image](https://github.c