FastAPI Gen
Create production-ready FastAPI applications in seconds
From simple APIs to LLM-enabled applications, all without build configuration.
Quick Start
Get a fully functional FastAPI app running in 30 seconds:
# Recommended: using uvx (no installation needed)
uvx fastapi-gen my_app
cd my_app && make start
Or install with uv:
uv tool install fastapi-gen
fastapi-gen my_app
cd my_app && make start
Or use pip:
pip install fastapi-gen
fastapi-gen my_app
cd my_app && make start
That's it! Open http://localhost:8000/docs to see your OpenAPI documentation.
Platform Support: Works on macOS and Linux | Report Issues
Why FastAPI Gen?
Focus on Code - Skip boilerplate setup and start building Production Ready - Enterprise patterns and best practices built-in Testing Included - Real test coverage from day one Zero Config - Ready-to-run templates that just work
Templates Overview
Hello World - Perfect for Learning FastAPI
Best for: Learning FastAPI fundamentals and starting new projects
Key Features:
- REST API fundamentals with complete CRUD
- Configuration management (pydantic-settings & dotenv)
- Dependency injection and clean architecture
- Background tasks and exception handling
- Input validation and health monitoring
- Complete test coverage
Advanced - Enterprise Production Template
Best for: Production applications with enterprise features
Key Features:
- JWT authentication with registration and login
- Database integration with SQLAlchemy 2.0
- Rate limiting with slowapi
- WebSocket support and file upload
- Enhanced security and CORS configuration
- Full test suite
NLP - Comprehensive AI Language Processing
Best for: AI applications with natural language processing
Key Features:
- 8 NLP capabilities: summarization, NER, generation, QA, embeddings, sentiment, classification, similarity
- Production architecture with startup model loading
- Smart configuration and device auto-detection
- Performance optimized with model caching
- Real AI testing with actual inference
LangChain - Modern LLM Integration
Best for: Applications using LangChain for LLM workflows
Key Features:
- Optimized loading with startup caching
- Modern LangChain patterns and best practices
- Smart config with auto device detection
- Production ready with health checks
- Dual endpoints: text generation and question answering
Llama - Local LLM Powerhouse
Best for: Local LLM inference with llama-cpp-python
Key Features:
- Local LLM focus optimized for Gemma/Llama GGUF models
- GPU acceleration with auto detection
- Advanced config for context windows and threading
- Production ready with lifecycle management
- Easy setup with auto model download
Requirements: ~4GB model download + 4GB+ RAM
Template Comparison
| Template | Best For | Complexity | AI/ML | Database | Auth |
|---|---|---|---|---|---|
| Hello World | Learning, Simple APIs | Basic | No | No | No |
| Advanced | Production Apps | Medium | No | Yes | Yes |
| NLP | AI Text Processing | Advanced | Yes | No | No |
| LangChain | LLM Workflows | Advanced | Yes | No | No |
| Llama | Local LLM | Advanced | Yes | No | No |
What You Get Out of the Box
Zero Configuration • Production Patterns • Complete Testing • Code Quality • Auto Documentation • Deployment Ready
Focus on Your Code, Not Setup
All dependencies (FastAPI, Pydantic, Pytest, etc.) are preconfigured. Just create and run:
fastapi-gen my_app # Create
cd my_app # Enter
make start # Run!
Every Template Includes:
- Ready-to-run development environment
- Industry-standard project structure
- Comprehensive test suites with examples
- Ruff linting and formatting
- Auto-generated OpenAPI documentation
- Makefile with common development commands
Installation & Usage
You'll need to have Python 3.11+ or later version on your local development machine. We recommend using the latest version. You can use uv for Python version management and project workflows.
Choose Your Template
# Default (hello_world)
uvx fastapi-gen my_app
# Or specify a template
uvx fastapi-gen my_app --template <template-name>
Available templates: hello_world, advanced, nlp, langchain, llama
Built-in Commands
Inside the newly created project, you can run:
make start
Runs the app in development mode.
Open http://localhost:8000/docs to view OpenAPI documentation in the browser.
The page will automatically reload if you make changes to the code.
make test
Runs tests.
By default, runs tests related to files changed since the last commit.
License
fastapi-gen is distributed under the terms of the MIT license.
1 maintainer
Metadata
1 maintainer
Release files for fastapi-gen 0.13.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fastapi_gen-0.13.1.tar.gz | 42.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fastapi_gen-0.13.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 109.7 kB
Release files / fastapi_gen-0.13.1.tar.gz
| Download URL | fastapi_gen-0.13.1.tar.gz |
|---|---|
| Size | 42.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
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Release files / fastapi_gen-0.13.1-py3-none-any.whl
| Download URL | fastapi_gen-0.13.1-py3-none-any.whl |
|---|---|
| Size | 67.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
