Django vs Laravel 2026: Framework Comparison
Django is a Python-based framework excelling in rapid development, data science integration, and scalability, while Laravel is a PHP-based framework known for elegant syntax, developer experience, and built-in features like authentication. Choice depends on your language preference and project requirements.
Django
Python-based web framework emphasizing rapid development, clean code, and batteries-included architecture.
Data-heavy applications, AI/ML integration projects, rapid prototyping, enterprise apps, teams with Python expertise
Laravel
PHP backend web framework with built-in ORM, authentication, and comprehensive tooling.
Web applications, startups with limited budgets, teams prioritizing code readability, projects on PHP-native hosts
Quick Answer
AI SummaryDjango is a Python-based framework excelling in rapid development, data science integration, and scalability, while Laravel is a PHP-based framework known for elegant syntax, developer experience, and built-in features like authentication. Choice depends on your language preference and project requirements.
Our Verdict
AI-assistedChoose Django if you need rapid development, data science capabilities, automatic admin panel, or are building scalable applications where Python expertise is available. Choose Laravel if you prioritize developer experience, elegant syntax, faster onboarding for teams new to frameworks, or are in a PHP-native environment with lower hosting costs.
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Choose Django if
Best pickData-heavy applications, AI/ML integration projects, rapid prototyping, enterprise apps, teams with Python expertise
Choose Laravel if
Web applications, startups with limited budgets, teams prioritizing code readability, projects on PHP-native hosts
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Key Differences at a Glance
- Primary Language:Python vs PHP
- Built-in Admin Panel:✓ Django wins(Yes, automatic (Django Admin) vs No, requires third-party package)
- Learning Curve:✓ Laravel wins(Easier (PHP more forgiving syntax) vs Moderate (Python fundamentals needed))
Key Facts & Figures
106 numeric metrics compared
| Metric | Django | Laravel | Ratio |
|---|---|---|---|
| Average Request Latency(milliseconds) | 200-400ms | — | — |
| Concurrent Connections (single core)(connections) | 100-500 | — | — |
| Time to First Working App(hours) | 1-2 | — | — |
| Package Ecosystem Size(packages) | 500K packages | 500,000+ | |
| Memory Usage (Idle)(MB) | 80-120MB | — | — |
| Average Development Speed (MVP)(weeks) | 3 weeks | 1.5 weeks | |
| Job Openings (Global, 2025)(positions) | 45,000 | 38,000 | |
| Average Page Load Time(seconds) | 145ms | 95ms | |
| Developer Satisfaction (2025 Survey)(percentage) | 82% | 89% | |
| Average Request Response Time(milliseconds) | 65ms | — | — |
| Available Packages/Gems(packages) | 500,000+ | 380,000+ packages | |
| Time to Build Basic MVP(weeks) | 2-3 weeks | — | — |
| Job Market Postings (2025)(estimated count) | 28,000+ | — | — |
| Learning Curve for Beginners(hours to proficiency) | 4-6 months | 120-160 hours | |
| Throughput at Scale (Req/sec)(requests per second) | 2,500 req/sec | — | — |
| GitHub Stars(stars) | 79,400+ stars | 78,600+ stars | |
| Throughput (Requests/Second)(req/s) | ~1,200 req/s | — | — |
| Startup Time(milliseconds) | ~300-500ms | — | — |
| Memory Usage (base)(MB) | ~50MB | — | — |
| Time to First API Endpoint(minutes) | 8-12 hours | — | — |
| Third-party Packages(packages) | 13,000+ packages | — | — |
| Core Framework Size(MB) | ~2,100 KB | ~50MB with dependencies | |
| Request/Response Latency (simple GET)(ms) | 45-65 ms | — | — |
| Weekly Downloads (PyPI)(thousands) | 1,200 thousand | — | — |
| Minimal Project Setup Time(minutes) | 15-20 | — | — |
| Stack Overflow Questions (all-time) | 3,800 thousand | — | — |
| Time to Production (months)(months) | 1.5-2 | — | — |
| Throughput Capacity (requests/sec)(req/sec) | ~5,000 | — | — |
| Lines of Code per Feature(LOC) | 100 | — | — |
| Available Job Openings (US, 2026)(thousands) | ~45K | — | — |
| Memory Usage (baseline app)(MB) | ~150-200 | — | — |
| Learning Curve (hours to 'Hello World')(hours) | 4-6 | — | — |
| Cold Start Time(seconds) | 600ms | — | — |
| Base Framework Size(megabytes) | 11 MB | — | — |
| Requests/Second (Throughput)(req/s) | ~1,200 req/s | — | — |
| Learning Time to Proficiency(hours) | 50 hours | — | — |
| Community Size (GitHub Stars)(stars) | 79k stars | 77,500 stars | |
| Development Speed (Median Project Timeline)(weeks) | 8-12 weeks | — | — |
| Median Response Latency(ms) | 25ms | — | — |
| Requests Per Second (Single Instance)(req/s) | 450 req/s | — | — |
| Time to Production (greenfield project)(days) | 2-3 days | — | — |
| Initial Learning Hours(hours) | 15-25 hours | — | — |
| Memory Usage (hello world app)(MB) | 120MB | — | — |
| Time to First API (minutes)(minutes) | 15-20 | — | — |
| Request Throughput (req/sec, hello-world)(requests/second) | 1,200-1,800 | — | — |
| GitHub Stars (2026)(stars) | 77,000+ | 77,500 stars | |
| Request Throughput(requests/second) | ~1,200 req/sec | ~900 req/sec | |
| Time to Hello World(minutes) | 8-10 minutes | 4-6 minutes | |
| Available Third-party Packages(packages) | ~430,000 (PyPI) | ~86,000 (Packagist) | |
| Minimum Server RAM Required(MB) | 512 MB | 256 MB | |
| Active Maintainers (2025)(count) | ~2,500 contributors | ~1,200 contributors | |
| Market Share Among PHP Frameworks(%) | 65% | 65% | |
| Packages Available(count) | 2,500+ verified packages | 2,500+ verified packages | |
| Time to Build Hello World(minutes) | ~15 minutes | ~15 minutes | |
| Installation Size(GB) | ~50 MB | ~50 MB | |
| Time to Build CRUD App(hours) | 2-4 hours | 2-4 hours | |
| Market Share Among PHP Developers(%) | 64% of PHP frameworks | 64% of PHP frameworks | |
| Average Response Time (Benchmark)(ms) | 45-60 ms per request | 45-60 ms per request | |
| Average Development Time (Basic Site)(weeks) | 4-12 weeks | 4-12 weeks | |
| Global Market Share(%) | ~3% | ~3% | |
| Reported Security Vulnerabilities (2024)(CVEs) | 23 core CVEs | 23 core CVEs | |
| Available Plugins/Extensions(count) | Composer packages (1M+) | Composer packages (1M+) | |
| Monthly Hosting Cost (Basic)(USD) | $20-50 | $20-50 | |
| Maximum Concurrent Users (Optimized)(users) | 100,000+ | 100,000+ | |
| Initial Setup Time(hours) | 8-12 minutes (Laravel installer + composer) | 8-12 minutes (Laravel installer + composer) | |
| Cold Start Latency (Serverless)(milliseconds) | 800-1200ms (PHP cold starts) | 800-1200ms (PHP cold starts) | |
| Average Page Build Time (SSG)(seconds) | 0.8-1.5s per page (Blade templating) | 0.8-1.5s per page (Blade templating) | |
| Monthly NPM/Composer Downloads(millions) | 2.5M (Packagist) | 2.5M (Packagist) | |
| Hosting Cost (Entry-Level Annual)(USD) | $24-60/year (shared PHP hosting) | $24-60/year (shared PHP hosting) | |
| Ecosystem Package Count(millions of packages) | 280K (Packagist registry) | 280K (Packagist registry) | |
| Learning Curve (Time to Productivity)(weeks) | 2-3 weeks | 2-3 weeks | |
| Baseline Project Setup Time(days) | 1 day (php artisan new) | 1 day (php artisan new) | |
| Requests Per Second (Benchmark)(req/s) | 3,200 | 3,200 | |
| Long-Term Support (LTS) Duration(years of security updates) | 3 years (standard support) | 3 years (standard support) | |
| Time to Deploy Basic CRUD App(days) | 12-16 days | 12-16 days | |
| Minimum Monthly Hosting Cost(USD) | $3/month | $3/month | |
| Average HTTP Response Time(milliseconds) | 22ms | 22ms | |
| Available Packages/Extensions(count (thousands)) | 45,000+ packages | 45,000+ packages | |
| Active Job Openings (USA, 2025)(positions) | ~12,400 | ~12,400 | |
| Official Documentation Pages(pages) | ~450 guides | ~450 guides | |
| Typical Database Query Overhead(percent slower than raw SQL) | 6-10% | 6-10% | |
| Average Requests Per Second(req/s) | 8,000 req/s | 8,000 req/s | |
| GitHub Repository Stars(thousands) | 77,500 | 77,500 | |
| Time to Build Basic CRUD App(minutes) | 18 minutes | 18 minutes | |
| Median Developer Salary (US)(USD) | $105,000 | $105,000 | |
| Learning Curve (Beginner to Productive)(weeks) | 2-3 weeks | 2-3 weeks | |
| Learning Curve (Time to Basic Proficiency)(weeks) | 2-4 weeks | 2-4 weeks | |
| Annual Job Postings(jobs) | 12,400+ | 12,400+ | |
| Response Time Performance(% slower) | 20-30% slower under load | 20-30% slower under load | |
| Documentation Pages(pages) | 2,800+ pages | 2,800+ pages | |
| Average Page Load Time (no optimization)(milliseconds) | 850-1200 ms | 850-1200 ms | |
| Job Postings (2025)(postings) | 215,000 | 215,000 | |
| Latest Stable Release Year(year) | 2025 (v11) | 2025 (v11) | |
| Learning Curve (for beginner developers)(hours) | 40-60 hours | 40-60 hours | |
| Average Development Time(weeks) | 8 weeks | 8 weeks | |
| Market Share(%) | 2% | 2% | |
| Hosting Cost (Budget Option)(USD/month) | 10-30 | 10-30 | |
| Requests Per Second (Throughput)(req/sec) | 14,000 req/sec | 14,000 req/sec | |
| Average Time to Developer Proficiency(weeks) | 10 weeks | 10 weeks | |
| Job Market Demand (2025)(job postings) | 12,400 postings | 12,400 postings | |
| Memory Usage Per Request(MB) | 12 MB | 12 MB | |
| New Project Market Share (2025)(percent) | 67% of new projects | 67% of new projects | |
| Enterprise Legacy Adoption(percent) | 18% of legacy systems | 18% of legacy systems | |
| Weekly NPM Downloads(downloads) | ~2.5M (Composer) | ~2.5M (Composer) | |
| Average Setup Time(minutes) | 10-15 minutes | 10-15 minutes | |
| Average Project Size (Starter)(MB) | ~35 MB (with dependencies) | ~35 MB (with dependencies) |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
- PythonPrimary LanguagePHP
- Yes, automatic (Django Admin)(winner)Built-in Admin PanelNo, requires third-party package
- Moderate (Python fundamentals needed)Learning CurveEasier (PHP more forgiving syntax)(winner)
- ~1,200 req/sec (average)(winner)Performance (requests/sec)~900 req/sec (average)
- Excellent (NumPy, Pandas, TensorFlow)(winner)Data Science IntegrationLimited (Python ecosystem unavailable)
- Django ORM (powerful, batteries-included)Built-in ORMEloquent ORM (intuitive, elegant)
- ~2.1M developers(winner)Community Size (2025)~1.8M developers
- Primary Language
Django
Python
Laravel
PHP
- Built-in Admin Panel
Django
Yes, automatic (Django Admin)(winner)
Laravel
No, requires third-party package
- Learning Curve
Django
Moderate (Python fundamentals needed)
Laravel
Easier (PHP more forgiving syntax)(winner)
- Performance (requests/sec)
Django
~1,200 req/sec (average)(winner)
Laravel
~900 req/sec (average)
- Data Science Integration
Django
Excellent (NumPy, Pandas, TensorFlow)(winner)
Laravel
Limited (Python ecosystem unavailable)
- Built-in ORM
Django
Django ORM (powerful, batteries-included)
Laravel
Eloquent ORM (intuitive, elegant)
- Community Size (2025)
Django
~2.1M developers(winner)
Laravel
~1.8M developers
Full Comparison
| Attribute | Django | |
|---|---|---|
| Average Request Latency(milliseconds) | 200-400ms | — |
| Average Page Load Time(seconds) | 145ms | 95ms(winner) |
| Average Request Response Time(milliseconds) | 65ms | — |
| Throughput at Scale (Req/sec)(requests per second) | 2,500 req/sec | — |
| Throughput (Requests/Second)(req/s) | ~1,200 req/s | — |
Show 24 more attributesStartup Time(milliseconds) ~300-500ms — Memory Usage (base)(MB) ~50MB — Core Framework Size(MB) ~2,100 KB ~50MB with dependencies Request/Response Latency (simple GET)(ms) 45-65 ms — Throughput Capacity (requests/sec)(req/sec) ~5,000 — Cold Start Time(seconds) 600ms — Requests/Second (Throughput)(req/s) ~1,200 req/s — Median Response Latency(ms) 25ms — Requests Per Second (Single Instance)(req/s) 450 req/s — Request Throughput (req/sec, hello-world)(requests/second) 1,200-1,800 — Request Throughput(requests/second) ~1,200 req/sec ~900 req/sec Average Response Time (Benchmark)(ms) 45-60 ms per request — Maximum Concurrent Users (Optimized)(users) 100,000+ — Cold Start Latency (Serverless)(milliseconds) 800-1200ms (PHP cold starts) — Average Page Build Time (SSG)(seconds) 0.8-1.5s per page (Blade templating) — Requests Per Second (Benchmark)(req/s) 3,200 — Average HTTP Response Time(milliseconds) 22ms — Typical Database Query Overhead(percent slower than raw SQL) 6-10% — Average Requests Per Second(req/s) 8,000 req/s — Response Time Performance(% slower) 20-30% slower under load — Average Page Load Time (no optimization)(milliseconds) 850-1200 ms — Requests Per Second (Throughput)(req/sec) 14,000 req/sec — Memory Usage Per Request(MB) 12 MB — Average Project Size (Starter)(MB) ~35 MB (with dependencies) — | ||
| Concurrent Connections (single core)(connections) | 100-500 | — |
| Time to First Working App(hours) | 1-2 | — |
| Time to Build Basic MVP(weeks) | 2-3 weeks | — |
| Minimal Project Setup Time(minutes) | 15-20 | — |
| Time to Production (months)(months) | 1.5-2 | — |
| Time to Production (greenfield project)(days) | 2-3 days | — |
Show 4 more attributesTime to First API (minutes)(minutes) 15-20 — Time to Build CRUD App(hours) 2-4 hours — Time to Deploy Basic CRUD App(days) 12-16 days — Time to Build Basic CRUD App(minutes) 18 minutes — | ||
| Package Ecosystem Size(packages) | 500K packages | 500,000+ |
| ML/AI Library Integration | Excellent (TensorFlow, PyTorch, scikit-learn) | Limited (minimal options) |
| Available Packages/Gems(packages) | 500,000+(winner) | 380,000+ packages |
| Third-party Packages(packages) | 13,000+ packages | — |
| Available Third-party Packages(packages) | ~430,000 (PyPI)(winner) | ~86,000 (Packagist) |
Show 4 more attributesPackages Available(count) 2,500+ verified packages — Ecosystem Package Count(millions of packages) 280K (Packagist registry) — Developer Community Size(active developers) 6.2 million — Available Packages/Extensions(count (thousands)) 45,000+ packages — | ||
| Memory Usage (Idle)(MB) | 80-120MB | — |
| Memory Usage (baseline app)(MB) | ~150-200 | — |
| Memory Usage (hello world app)(MB) | 120MB | — |
| Admin Panel Included | Yes (auto-generated) | — |
| Built-in Admin Dashboard | Yes, auto-generated | — |
| Async Request Support | Partial (3.1+) | — |
| Built-in Database ORM | Django ORM (included) | Yes (Eloquent) |
| Admin Interface | Auto-generated from models | — |
Show 7 more attributesBuilt-in Admin Panel Yes (Django Admin fully featured) No, third-party required Built-in Authentication Yes, with Django-allauth extension Yes, built-in (Laravel Auth) Job Queue System(feature) Native (Redis, database, sync) — Built-in Testing Framework(status) Pest & PHPUnit — SEO-Ready Features Basic (no SSG/SSR built-in) — Frontend Component Library Integration Manual (Blade templating) — Built-in Real-Time Capabilities Reverb WebSockets (built-in) — | ||
| Average Development Speed (MVP)(weeks) | 3 weeks | 1.5 weeks(winner) |
| Job Openings (Global, 2025)(positions) | 45,000(winner) | 38,000 |
| Available Job Openings (US, 2026)(thousands) | ~45K | — |
| Job Postings (2025)(postings) | 215,000 | — |
| Async Support Level | Partial (optional, requires setup) | Full native (built-in queues) |
| Native Dependency Injection | No (requires external frameworks) | — |
| Reusable Components(components) | Framework-integrated | — |
| Developer Satisfaction (2025 Survey)(percentage) | 82% | 89%(winner) |
| Job Market Postings (2025)(estimated count) | 28,000+ | — |
| Learning Curve for Beginners(hours to proficiency) | 4-6 months(winner) | 120-160 hours |
| Minimum Coding Knowledge Required(skill level (1-10)) | 8/10 (Advanced PHP) | — |
| GitHub Stars(stars) | 79,400+ stars(winner) | 78,600+ stars |
| GitHub Stars (2026)(stars) | 77,000+ | 77,500 stars(winner) |
| Time to First API Endpoint(minutes) | 8-12 hours | — |
| Average Development Time (Basic Site)(weeks) | 4-12 weeks | — |
| Latest Stable Release Year(year) | 2025 (v11) | — |
| Average Development Time(weeks) | 8 weeks | — |
| Weekly Downloads (PyPI)(thousands) | 1,200 thousand | — |
| NPM Weekly Downloads(millions) | Not applicable (Python package) | — |
| Stack Overflow Questions (all-time) | 3,800 thousand | — |
| Authentication Built-in | Yes (user model, permissions, groups) | — |
| Reported Security Vulnerabilities (2024)(CVEs) | 23 core CVEs | — |
| Lines of Code per Feature(LOC) | 100 | — |
| Learning Curve (hours to 'Hello World')(hours) | 4-6 | — |
| Learning Curve (for beginner developers)(hours) | 40-60 hours | — |
| Enterprise Adoption Rate(% of Fortune 500) | ~15% | — |
| Market Share Among PHP Developers(%) | 64% of PHP frameworks | — |
| Monthly NPM/Composer Downloads(millions) | 2.5M (Packagist) | — |
| Market Share(%) | 2% | — |
| New Project Market Share (2025)(percent) | 67% of new projects | — |
Show 1 more attributeEnterprise Legacy Adoption(percent) 18% of legacy systems — | ||
| Base Framework Size(megabytes) | 11 MB | — |
| Built-in ORM | Yes (Django ORM with migrations) | Yes (Eloquent) |
| Admin Panel | Auto-generated included | — |
| Learning Time to Proficiency(hours) | 50 hours | — |
| Community Size (GitHub Stars)(stars) | 79k stars(winner) | 77,500 stars |
| Market Share Among PHP Frameworks(%) | 65% | — |
| Development Speed (Median Project Timeline)(weeks) | 8-12 weeks | — |
| Time to Hello World(minutes) | 8-10 minutes | 4-6 minutes(winner) |
| Time to Build Hello World(minutes) | ~15 minutes | — |
| Type Safety Support | PHPStan/Psalm (third-party tools) | — |
| Learning Curve (Time to Productivity)(weeks) | 2-3 weeks | — |
Show 3 more attributesBaseline Project Setup Time(days) 1 day (php artisan new) — Learning Curve (Time to Basic Proficiency)(weeks) 2-4 weeks — Average Setup Time(minutes) 10-15 minutes — | ||
| Initial Learning Hours(hours) | 15-25 hours | — |
| Language | Python 3.8+ | PHP 8.0+ |
| Minimum Server RAM Required(MB) | 512 MB | 256 MB(winner) |
| Active Maintainers (2025)(count) | ~2,500 contributors(winner) | ~1,200 contributors |
| Minimum PHP Version Required(version) | PHP 8.1 | — |
| Authentication Scaffolding(boolean) | Yes (with 2FA, API tokens) | — |
| Database Migration Support(boolean) | Yes (built-in with Artisan) | — |
| Installation Size(GB) | ~50 MB | — |
| Required Developer Experience Level | Senior/Intermediate (5+ years PHP/OOP) | — |
| Global Market Share(%) | ~3% | — |
| Available Plugins/Extensions(count) | Composer packages (1M+) | — |
| Monthly Hosting Cost (Basic)(USD) | $20-50 | — |
| Hosting Cost (Entry-Level Annual)(USD) | $24-60/year (shared PHP hosting) | — |
| Hosting Cost (Budget Option)(USD/month) | 10-30 | — |
| Customization Without Code | Limited—requires PHP expertise | — |
| Initial Setup Time(hours) | 8-12 minutes (Laravel installer + composer) | — |
| Long-Term Support (LTS) Duration(years of security updates) | 3 years (standard support) | — |
| Minimum Monthly Hosting Cost(USD) | $3/month | — |
| Active Job Openings (USA, 2025)(positions) | ~12,400 | — |
| Official Documentation Pages(pages) | ~450 guides | — |
| GitHub Repository Stars(thousands) | 77,500 | — |
| Median Developer Salary (US)(USD) | $105,000 | — |
| Latest Stable Version Release(version) | Laravel 11.x | — |
| Learning Curve (Beginner to Productive)(weeks) | 2-3 weeks | — |
| Average Time to Developer Proficiency(weeks) | 10 weeks | — |
| Annual Job Postings(jobs) | 12,400+ | — |
| Enterprise Adoption(companies) | Emerging in enterprise | — |
| Built-in Features (Out-of-Box)(features) | ORM, Auth, Caching, Queue, Mail, Broadcasting | — |
| Documentation Pages(pages) | 2,800+ pages | — |
| Best Use Case Complexity(complexity level) | Very Complex (SaaS, APIs, Enterprise) | — |
| Job Market Demand (2025)(job postings) | 12,400 postings | — |
| Weekly NPM Downloads(downloads) | ~2.5M (Composer) | — |
| Built-in Database Abstraction | Eloquent ORM (native) | — |
| Native Authentication System | Laravel Breeze included | — |
| Serverless Deployment Support | Limited (Vapor, custom solutions) | — |
| Minimum Node/PHP Version(version) | PHP 8.2+ | — |
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Pros & Cons
10 pros·6 cons across both
Django
Pros
- Automatic admin panel with 0 configuration required
- Integrated ORM supports complex queries with minimal code
- Seamless integration with Python ML/AI libraries (TensorFlow, scikit-learn, Pandas)
- Superior security features (CSRF, SQL injection protection built-in)
- Excellent documentation with 15+ years of community contributions
Cons
- Steeper learning curve for developers without Python experience
- Monolithic architecture can feel heavyweight for microservices projects
- Slower initial setup compared to minimal frameworks
Laravel
Pros
- More intuitive syntax with readable, expressive code
- Faster learning curve for developers new to frameworks
- Built-in Artisan CLI reduces boilerplate code by ~40%
- Rich ecosystem with Laravel ecosystem packages (Forge, Vapor, Nova)
- Lower hosting costs (shared hosting widely available)
Cons
- No automatic admin panel; requires additional packages like Nova ($99-$499/year)
- Limited integration with data science and AI libraries
- Performance overhead due to PHP runtime (typically 20-30% slower than Django)
Frequently Asked Questions
5 questions
Django typically outperforms Laravel by 25-35% in request throughput benchmarks (~1,200 req/sec vs ~900 req/sec). However, real-world performance depends heavily on database queries, caching strategies, and code optimization. For most applications, both are sufficiently fast; optimization matters more than framework choice.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
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Wikipedia
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