For building the backend of a website or application, PHP and Python are both mature, dependable choices, and neither is better in absolute terms. The short version: if you want to ship a website, online store or admin panel quickly and cheap, ubiquitous hosting matters to you, PHP with Laravel is the more natural choice. If the project is tied to data, AI, scripting and automation, or you're building an API that works alongside machine learning models, Python with Django or FastAPI makes more sense.
First, what backend development actually is. Every web application has two parts: the frontend, which is what you see in the browser or mobile app, and the backend, which is the code running on the server. The backend receives requests, authenticates users, talks to the database, enforces business rules and returns the result as an HTML page or an API response. PHP and Python are two of the most common languages for writing that part.
Short answer: PHP and Python are both well-established backend languages, and neither is better across the board. For websites, online stores and admin panels on low-cost hosting, PHP with Laravel is the more natural fit; for projects tied to data, AI or automation, Python with Django or FastAPI makes more sense. If your team or existing codebase already uses one of them, sticking with it is usually the best choice.
Ecosystem and frameworks
The language on its own matters less than the frameworks and libraries built around it.
PHP: Laravel and Symfony
- Laravel is the most popular PHP framework and has almost everything built in: an ORM (Eloquent), migrations, queues, task scheduling, authentication, mail, caching, and official tools for admin panels and payments. The developer experience is smooth and consistent.
- Symfony is a modular, structured framework seen mostly in large, long-lived projects. Many of Laravel's parts are built on Symfony components.
- WordPress and WooCommerce are PHP too. If your work leans towards content sites and online stores, that alone is a strong reason.
Modern PHP (version 8 and later) is very different from the language many people remember: type declarations, enums, readonly, match and JIT. Tools such as Composer for dependency management and PHPStan for static analysis have also raised the bar for code quality.
Python: Django and FastAPI
- Django is a full-featured, "batteries included" framework: ORM, migrations, authentication, forms, and an admin panel generated automatically from your models, which is excellent for internal tools.
- FastAPI is designed for building APIs: lightweight, based on type hints, with automatic input validation and auto-generated OpenAPI documentation. It supports async natively.
- Flask is the older, lightweight option for small projects.
Python's real trump card lies outside the web: NumPy, pandas, scikit-learn, PyTorch and nearly every AI SDK ship for Python first. If your backend needs to work with these, having them in the same language is a serious advantage.
Hosting and deployment
This is where the practical difference is most noticeable.
PHP runs on almost any shared hosting plan. You upload the files and the site is live. On your own server, the standard Nginx + PHP-FPM setup is simple and well understood. PHP's execution model, a fresh start for every request, means memory leaks and shared state between requests rarely cause problems.
Python is either unsupported or limited on typical shared hosting. You usually need a VPS or a container, and the common setup is an application server (Gunicorn for Django, or Uvicorn for FastAPI) run under systemd or Docker. It isn't hard, but it's one more layer to learn and maintain.
If you already have a VPS and are comfortable with Linux commands, that difference all but disappears.
Real-world performance
Comparing raw language speed is misleading for most web applications, because the response time of a typical request is dominated by:
- database queries, especially the N+1 problem,
- calls to external services,
- missing caches for data that rarely changes,
- heavy work done inside the request that should have gone to a queue.
Both languages are fast enough for the vast majority of sites and applications. A few points that do hold:
- PHP 8 with OPcache is very efficient for short web requests.
- In Python, FastAPI with async suits APIs that spend a lot of time waiting on I/O (calling other services, for example).
- For heavy numerical work, Python libraries such as NumPy actually run optimised C code, and PHP has no established equivalent in this area.
If your site is slow, the language is probably not to blame. Look at caching and queues first.
Job market
Without claiming any figures, the overall picture looks like this:
- PHP is widespread in web projects, online stores, WordPress and custom software for small and medium businesses. A large share of existing websites are built with it, so there's plenty of maintenance and development work. Laravel features prominently in PHP job listings.
- Python covers a broader market in which backend is only one part: data, machine learning, automation and DevOps. On the backend, Django and FastAPI show up mostly at startups and in products that deal with data or AI.
Both are marketable skills. What's worth more in either market is a solid grasp of databases, HTTP, security, Git and deployment, not the language itself.
Learning curve
- Python is usually easier as a first language: clean, readable syntax, and you use the same language for scripts, data analysis and the web.
- PHP gets someone who wants to build websites to a visible result faster. Laravel has a lot of conventions to learn up front, but after that you can build quickly.
- Django, like Laravel, has its own conventions. FastAPI is easy to start with, but because less comes ready-made, more architectural decisions fall to you.
When to choose which
| Situation | Better choice |
|---|---|
| Website, online store or admin panel on a tight hosting budget | PHP (Laravel) |
| A WordPress or WooCommerce project | PHP |
| An API next to a machine learning model or data analysis | Python (FastAPI) |
| A quick internal panel on top of data models | Django, or Laravel with a ready-made panel; both work well |
| Your existing team is fluent in one of them | That language |
| Working code already exists in one of them | Stick with it, unless you have a serious reason not to |
| First language for learning programming in general | Python |
| First language with the goal of building websites fast | PHP |
Frequently asked questions
Is PHP dead in 2026?
No. Modern PHP (version 8 and later) has type declarations, enums, readonly properties, match and JIT, and frameworks such as Laravel and Symfony are active and widely used. A large share of existing websites, including WordPress sites, are built with PHP, and development and maintenance work on them continues.
Is PHP or Python faster for web development?
For most web applications the comparison isn't decisive, because response time is dominated by database queries, external service calls and missing caches. Both are fast enough: PHP 8 with OPcache is efficient for short web requests, and FastAPI with async suits APIs that spend a lot of time waiting on I/O.
Can Python run on shared hosting?
On most typical shared hosting it's either unsupported or limited. Python usually needs a VPS or a container, with the app run by Gunicorn or Uvicorn under systemd or Docker, whereas PHP runs on almost any shared host.
What is the difference between Laravel and Django?
Both are full-featured frameworks with an ORM, migrations and authentication built in. Laravel is PHP and includes queues, task scheduling and official tools for admin panels and payments. Django is Python and comes with an admin panel generated automatically from your data models, which is very handy for internal tools.
Should I learn PHP or Python first for backend development?
If you want to learn programming in general, Python, with its readable syntax and use across scripting, data and the web, is the easier start. If your specific goal is building websites quickly, PHP with Laravel gets you to a visible result sooner. Either way, understanding databases, HTTP, security and Git matters more than the language.
Wrap-up
"PHP or Python?" is usually the wrong question. The right one is: what problem are we solving, what does our team know, and where will it run? For websites and business software, PHP with Laravel is fast, cheap and sufficient. When data and AI are at the centre, Python has a real advantage. A team fluent in either will build a better product than a team that switched languages because of an internet comparison.
Before picking a tool, write down the problem. The answer often becomes clear right there.