Supersaasfastapi

Python SaaS Boilerplate for building Software-as-Service (SAAS) apps with FastAPI, Vue.js & Tailwind

🚨 ATTENTION: This Project is currently under development..🚨

Feel free to follow along on our journey while we build the most robust / SuperCharged SaaS boilerplate this world has ever seen 😇 🎉

Rapidly Build, Launch & Scale Your SaaS 🚀

The key features are:

Sales

• High Converting Checkout Pages 🚀
• High Converting Landing Pages 🚀
• Subscriptions 🚀
• One-Time Charges 🚀
• Upsells & Down-sells 🚀
• Abandoned Cart Recovery 🚀

Administration

• Advanced Admin Dashboard 🚀
• Strong Financial Reporting 🚀
• Built-in CRM 🚀
• Newsletters 🚀
• Campaigns 🚀
• Automations 🚀
• User Management 🚀
• User Impersonation 🚀
• Security & Permissions 🚀

Customer Experience

• Elegant Dashboard 🚀
• React Native IOS/Andorid APP 🚀
• Teams 🚀
• Social Logins 🚀
• 2FA 🚀
• API 🚀

Why FastAPI?

FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

The key features are:

• Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). One of the fastest Python frameworks available.

• Fast to code: Increase the speed to develop features by about 200% to 300%. *

• Fewer bugs: Reduce about 40% of human (developer) induced errors. *

• Intuitive: Great editor support. Completion everywhere. Less time debugging.

• Easy: Designed to be easy to use and learn. Less time reading docs.

• Short: Minimize code duplication

• Robust: Get production-ready code. With automatic interactive documentation.

• Standards-based: Based on (and fully compatible with) the open standards for APIs: OpenAPI (previously known as Swagger) and JSON Schema.

Performance

Independent TechEmpower benchmarks show FastAPI applications running under Uvicorn as one of the fastest Python frameworks available, only below Starlette and Uvicorn themselves (used internally by FastAPI). (*)

To understand more about it, see the section Benchmarks.

License

This project is licensed under the terms of the MIT license.