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Laravel vs Django: which to choose?

Comparing Laravel (PHP) and Django (Python) — when each framework is best suited for web development, APIs, and data-driven applications.

Summary

Comparing Laravel (PHP) and Django (Python) — when each framework is best suited for web development, APIs, and data-driven applications.

Overview

Laravel and Django are leaders in their respective language ecosystems. Laravel is built on PHP and dominates web development, while Django is built on Python and excels in data-driven applications. Both frameworks follow the “batteries included” philosophy, but approach it differently.

When to Choose Laravel

Laravel is the optimal choice for classic web development: SaaS platforms, e-commerce, CRM systems, and admin panels. PHP runs on virtually any hosting, and deployment is simple and predictable. The Laravel ecosystem (Livewire, Inertia, Filament) allows building fully functional applications without a frontend framework. The cost of PHP developers is generally lower, and their availability is higher.

When to Choose Django

Django is indispensable when a project is closely tied to data processing, machine learning, or scientific computing. The Python ecosystem (NumPy, Pandas, scikit-learn, PyTorch) integrates with Django naturally. Django Admin is one of the best auto-generated admin interfaces. For projects where the backend needs to work with ML pipelines, Django allows using a single language across all layers.

Performance and Scalability

In pure web rendering, Laravel with Octane performs faster than Django. However, Django with async views (ASGI) and Channels handles WebSocket connections and asynchronous tasks well. Both frameworks scale horizontally, but Laravel Vapor (serverless on AWS) provides an advantage in automatic scaling.

Our Experience

We use Laravel for most web projects and Django for projects with a strong data component. If a client needs a web portal with ML model integration, we often build the frontend and API on Laravel, while running the ML service as a separate microservice on Python/Django.

TECHNOLOGIES

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Laravel

Django

COMPARISONS

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FAQ

FAQ

Laravel is the better fit when you need rapid web application development with elegant syntax and a rich ecosystem of first-party packages like Cashier (billing), Sanctum (API auth), and Horizon (queues). It shines in projects where PHP hosting is readily available, your team already knows PHP, or you need deep integration with WordPress or other PHP-based systems. Laravel's Blade templating and Livewire make it especially productive for server-rendered apps with sprinkles of interactivity.

Migration is feasible but involves rewriting the application layer since Django (Python) and Laravel (PHP) have fundamentally different ORM patterns, template engines, and middleware approaches. Database schemas can often be preserved or adapted with minor modifications. The recommended strategy is to rebuild module by module behind a reverse proxy, gradually routing traffic to the new Laravel application while Django handles the remaining endpoints.

Raw benchmarks show Django handling more requests per second in CPU-bound tasks thanks to Python's optimized C extensions and Django's query optimizer. Laravel with PHP 8.3+ and OPcache has narrowed this gap significantly, and with Octane (Swoole/RoadRunner) it can match or exceed Django in I/O-bound workloads. In practice, both frameworks are fast enough for typical web applications, and the bottleneck is almost always the database or external API calls rather than the framework itself.

Laravel has a more cohesive first-party ecosystem with official packages for nearly every common need: billing, broadcasting, queues, search, and deployment (Forge, Vapor). Django relies more on third-party packages from PyPI, which are abundant but vary in quality and maintenance. For data science and machine learning integration, Django has a decisive advantage through Python's scientific computing stack (NumPy, pandas, scikit-learn), which Laravel cannot match natively.

PHP developers are generally more affordable globally, with average rates 15-25% lower than Python developers, making Laravel projects cheaper to staff. Hosting costs are also lower since PHP runs on virtually any shared hosting plan. Django projects may cost more for developers but can save money when machine learning or data processing features are needed, since Python handles these natively without inter-process communication overhead.

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