PHP vs Python: which to choose?
Comparing PHP and Python for web development. Performance, ecosystem, development cost, and areas of application for each language.
Summary
Comparing PHP and Python for web development. Performance, ecosystem, development cost, and areas of application for each language.
Overview
PHP and Python are two of the most popular server-side languages for web development. PHP was created specifically for the web and powers 77% of all websites. Python is a general-purpose language that dominates in data science, ML, and automation, and is represented in web development through Django and FastAPI. In 2026, both languages are mature and high-performing.
When to Choose PHP
PHP is the optimal choice for web development: CMS, e-commerce, SaaS, and APIs. PHP 8.3+ with JIT compiler, type system, and Fibers delivers excellent performance. The web framework ecosystem (Laravel, Symfony) is the most mature in the industry. PHP developer costs are lower, and their availability is higher. Hosting PHP applications is simpler and cheaper. For 80% of typical web projects, PHP is the most cost-effective choice.
When to Choose Python
Python is indispensable when a project involves data processing, machine learning, or scientific computing. The ML/AI ecosystem (PyTorch, TensorFlow, scikit-learn, LangChain) has no equivalent. For API services, FastAPI on Python is one of the fastest and most convenient tools with automatic documentation generation. For automation, scripting, and DevOps, Python is the de facto standard.
Performance
PHP 8.3 with Octane (Swoole/RoadRunner) is faster than Python (Django/Flask) in typical web scenarios. Python with asyncio and FastAPI is competitive for API tasks. For CPU-bound tasks (ML, data processing), Python with optimized C libraries (NumPy) is significantly faster than pure PHP.
Our Experience
PHP (Laravel) is our primary language for web development. We use Python for ML services, automation, and data pipelines. A typical architecture is a Laravel application as the main backend plus a Python microservice for ML tasks, connected via queues (Redis/RabbitMQ) or API.
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FAQ
When should you choose PHP over Python?
PHP is the right choice for web application development where hosting affordability, developer availability, and ecosystem maturity matter. It powers 75%+ of the web (WordPress, Laravel, Symfony), has the cheapest hosting options, and offers the largest pool of web developers globally. PHP 8.3 with JIT compilation and modern frameworks like Laravel provide an excellent developer experience. Choose Python when you need data science, machine learning, scientific computing, or scripting capabilities alongside your web application.
Can you migrate a Python web application to PHP?
Migrating a Django or Flask application to Laravel or Symfony is feasible since all follow MVC conventions and handle HTTP routing, ORM, and templating similarly. Database schemas transfer directly, and REST API contracts remain unchanged for client applications. The main challenge is rewriting Python-specific libraries (pandas data processing, NumPy calculations, ML inference) which have no direct PHP equivalents — these features may need to remain as Python microservices or be replaced with external APIs.
What is the performance difference between PHP and Python?
PHP 8.3 with OPcache and JIT significantly outperforms Python 3.12 in web request handling — PHP processes HTTP requests 2-5x faster in typical benchmarks due to its request-optimized runtime. Python's advantage lies in CPU-intensive computation through C-backed libraries like NumPy and pandas, where it effectively runs compiled C code. For web applications, PHP is faster; for data processing and ML, Python is faster. Both languages offer async capabilities (Swoole for PHP, asyncio for Python) that level the playing field for I/O-bound tasks.
Which language has a larger ecosystem: PHP or Python?
Python has a larger overall ecosystem (PyPI has 500K+ packages vs Packagist's 350K+), but the comparison is misleading because Python spans web, data science, DevOps, and scientific computing while PHP is web-focused. For web development specifically, PHP's Packagist has more relevant packages with better framework integration. Python dominates in AI/ML (TensorFlow, PyTorch, scikit-learn), data analysis (pandas, Jupyter), and automation/scripting — domains where PHP has minimal presence.
What is the cost difference between PHP and Python development?
PHP development is 20-30% cheaper for web projects due to a larger global developer pool, lower average salaries, and extremely affordable hosting (shared hosting from $3/month). Python developers command higher salaries because they serve broader markets (AI/ML, data engineering, DevOps) and are in higher demand. For a standard web application, PHP saves money on both development and infrastructure. For projects requiring ML or data processing features, Python saves money by avoiding inter-language integration complexity.
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