Django SaaS boilerplate

Jumpstart your Software-as-a-Service project

In today’s fast-paced tech world, launching a Software-as-a-Service (SaaS) product quickly and efficiently is crucial. That’s where a Django SaaS boilerplate comes in handy.

As a Senior Software Engineer specializing in production-grade ML systems, I’ve seen firsthand how the right boilerplate can dramatically accelerate development.

Key components of my Django SaaS boilerplate

A robust Django SaaS boilerplate forms the backbone of your project, offering a comprehensive set of features to jumpstart your development. At its core, you’ll find a user authentication and authorization system, ensuring secure access control for your application. This system is built on Django’s powerful auth module, extended to handle multi-tenancy and role-based access control.

Subscription management is another critical component, seamlessly integrated with Stripe’s payment system. This integration allows for handling various subscription models, from simple monthly plans to complex tiered structures, giving you the flexibility to monetize your SaaS effectively.

For API development, the Django REST Framework is my choice. It provides a powerful and flexible toolkit for building Web APIs, enabling you to create a robust backend that can serve both your web application and potential mobile clients.

Background task processing is essential for any scalable SaaS application. Our boilerplate leverages Celery, a distributed task queue that allows you to run time-consuming processes asynchronously. This setup ensures your application remains responsive even when handling complex operations.

Email notifications play a crucial role in user engagement and operational alerts. The boilerplate includes a comprehensive email notification system, easily customizable to fit your specific needs.

For analytics and tracking, we’ve incorporated industry-standard tools that give you insights into user behavior and application performance. This data is invaluable for making informed decisions about feature development and user experience improvements.

Deployment and scaling are made simpler with containerization using Docker and Docker Compose. This setup allows for consistent environments across development, staging, and production, minimizing “it works on my machine” issues.

Continuous Integration and Continuous Deployment (CI/CD) are streamlined using GitHub Actions. This automation ensures that your code is tested and deployed efficiently, maintaining high-quality standards throughout your development process.

On the frontend, TailwindCSS is integrated to provide a utility-first CSS framework. This allows for rapid UI development without sacrificing the flexibility to create a unique design.

Django SaaS boilerplate

Django SaaS boilerplate preview

Additional features include:

  • PostgreSQL as the default database, known for its reliability and advanced features
  • Redis for caching and as a message broker for Celery
  • Comprehensive settings management for different environments (development, staging, production)
  • Built-in support for HTTPS and HTTP/2
  • User registration with email verification
  • Social authentication options
  • Basic CMS functionality for managing static pages
  • Sentry integration for error tracking
  • Structurally organized codebase with best practices for Django project layout

This Django SaaS boilerplate is designed to be a complete starting point, allowing you to focus on building your core business logic rather than reinventing the wheel on common SaaS functionalities.

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Why choose Django for your SaaS project?

Django, a high-level Python web framework, offers several advantages for SaaS development:

  1. Rapid development: Django’s “batteries-included” philosophy provides many built-in features.
  2. Scalability: Django can handle high-traffic websites, making it suitable for growing SaaS applications.
  3. Security: With built-in protection against common vulnerabilities, Django prioritizes security.
  4. Admin interface: Django’s automatic admin interface speeds up backend management.
  5. ORM: The Object-Relational Mapping (ORM) simplifies database operations.

Django SaaS boilerplate customization

My Django SaaS boilerplate is designed with flexibility in mind, offering a range of options to tailor your initial codebase to your project’s needs. This customization begins right from the start, allowing you to generate a unique foundation for your SaaS application.

When you initiate your project using our boilerplate, you’ll be presented with a series of choices. These options cover various aspects of your application, such as the authentication system, payment integration preferences, frontend framework selection, and more. By making these selections, you’re not just picking features – you’re shaping the very structure of your codebase.

For instance, you might choose between different user authentication methods, select your preferred payment gateway integration, or opt for specific frontend technologies. Each choice influences the generated code, ensuring that your starting point is already aligned with your project’s requirements.

Once the initial codebase is generated based on your selections, you have a solid foundation that’s ready for further customization. This is where your programming skills come into play. With a basic understanding of Python and Django, you can begin to modify and extend the generated code to fit your specific business needs.

You might start by adjusting the user model, adding fields that are crucial for your application. Perhaps your SaaS requires additional user attributes or relationships – these can be easily added to the pre-generated model structure.

Next, you could focus on implementing your core business logic. The generated codebase provides a clean, well-organized structure where you can add your own Django apps and modules. This modular approach makes it straightforward to build upon the existing functionality without disturbing the core components.

As you develop, you may find the need to integrate additional third-party services or libraries. The boilerplate’s modular nature facilitates these additions, allowing you to extend its capabilities as your project grows.

Remember, while the generated code provides a robust starting point, the true power of your SaaS lies in how you adapt and extend it. Your understanding of Python and Django will be invaluable as you customize views, tweak database models, and optimize performance to meet your specific requirements.

Django boilerplate for AI applications

Django boilerplate for AI applications

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Use cases

My Django SaaS boilerplate is versatile enough to support a wide range of applications, with a particular emphasis on AI and machine learning integrations. Here are some compelling use cases that showcase the potential of your SaaS platform:

AI-Powered analytics dashboards

Leverage the boilerplate’s robust backend to create sophisticated analytics dashboards. Integrate machine learning models to provide predictive insights, trend analysis, and anomaly detection. The Django REST Framework makes it easy to serve these AI-generated insights to your frontend, where they can be visualized using modern charting libraries.

Natural Language Processing services

Build a SaaS application that offers NLP capabilities as a service. Use the boilerplate’s API framework to create endpoints that interact with popular NLP libraries or custom models. Offer features like sentiment analysis, text classification, or named entity recognition. The scalable architecture ensures your service can handle multiple concurrent requests efficiently.

LLM-Based chatbots and virtual assistants

Develop an AI chatbot platform where businesses can create and deploy their own virtual assistants. Utilize the boilerplate’s user authentication system to manage client accounts, and leverage its task queue (Celery) to handle resource-intensive LLM interactions asynchronously. Integrate with popular LLM APIs or host your own models, offering a range of AI personalities and capabilities.

AI model marketplace

Create a platform where data scientists and AI researchers can share and monetize their machine learning models. Use the boilerplate’s subscription management and Stripe integration to handle payments and access control. Implement a rating and review system to help users find the best models for their needs.

Automated content generation

Build a SaaS tool that uses AI to generate various types of content, from marketing copy to code snippets. Implement API calls to LLMs for text generation, and use the boilerplate’s task queue to manage long-running generation jobs. The user authentication system can be used to track usage and implement tiered access levels.

AI-Enhanced customer relationship management (CRM)

Develop a CRM system that uses AI to provide insights and automate tasks. Integrate machine learning models to predict customer churn, recommend next best actions, or automate lead scoring. The boilerplate’s extensible user model allows for storing rich customer data, while the API framework facilitates integration with external tools and data sources.

Computer Vision as a Service

Offer a platform where users can upload images or videos for AI-powered analysis. Implement features like object detection, facial recognition, or optical character recognition. Use the boilerplate’s file handling capabilities for secure uploads, and leverage its scalable architecture to process multiple files concurrently.

AI Model training and Deployment platform

Create a service that allows users to train, fine-tune, and deploy machine learning models without worrying about infrastructure. Use the boilerplate’s user management to handle access control, and implement a job queue system for managing training jobs. Offer API endpoints for model inference, making it easy for clients to integrate the trained models into their own applications.

These use cases demonstrate the flexibility and power of our Django SaaS boilerplate, particularly in the realm of AI and machine learning applications. By providing a solid foundation for user management, API development, and scalable architecture, the boilerplate allows you to focus on implementing the unique AI features that will set your SaaS product apart in the market.

Buy now

Ready to kickstart your SaaS project? Choose the plan that best fits your needs:

Feature Starter Professional Unlimited
Price $239 $439 $989
Feature set Basic Full Full
Projects 1 1 Unlimited
Updates 1 year 1 year Lifetime
Community access 1 year Lifetime
Priority support Yes Yes
Deployment support Bare metal Linux

All plans include my core Django SaaS boilerplate. The Professional and Unlimited plans offer expanded features and support to help you launch and grow your SaaS business.

To get started or for more information, please fill out our inquiry form. Our team will be in touch to discuss your specific needs and guide you through the next steps.

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Example projects