Sharkbench

Benchmarking programming languages and web frameworks

Python web frameworks

About Python

Paradigm

Object-Oriented, Imperative, Functional

Execution

Interpreted

Typing

Dynamic

Null Safety

NO

Memory Management

Garbage Collection

Python is a high-level, interpreted programming language known for its simplicity and readability. Python is designed with an emphasis on code readability and simplicity, making it an excellent choice for beginners and experienced programmers alike. Python's extensive standard library and large ecosystem of third-party packages, such as NumPy for numerical computations and Django for web development, make it incredibly versatile. This versatility allows Python to be used in a variety of domains, from web development and data analysis to artificial intelligence and scientific computing. Python is also notable for its use in educational settings due to its clear syntax and gradual learning curve.

Benchmarks

This benchmark tests how fast a framework can perform concurrent HTTP requests, I/O operations, and JSON de/serialization.

MedianP99

Framework	Requests per second Indicates how many requests per second the framework can handle. (higher is better)	Latency Indicates how long it takes to process a request. (lower is better)	Stability Indicates how stable the framework is under load: median / P99 latency (higher is better)	Memory Indicates how much memory (RAM) the framework uses. (lower is better)
Python / FastAPI (Uvicorn)	1422	19.4 ms	27.29 %	42.6 MB
Python / Django (Development Server)	949	23.7 ms	25.60 %	85.7 MB
Python / Flask (Development Server)	639	36.9 ms	11.28 %	24.8 MB
Python / Django (Uvicorn)	272	107.1 ms	44.57 %	46.0 MB
Python / Django (Gunicorn)	219	13.7 ms	3.78 %	132.7 MB
Python / Flask (Gunicorn)	133	12.3 ms	3.70 %	88.8 MB