Sharkbench

Benchmarking programming languages and web frameworks

FastAPI (Python)

FastAPI is a modern, high-performance web framework for building APIs with Python 3.6+ based on standard Python type hints. It emphasizes speed in both execution and development time, with automatic interactive API documentation generation.

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

OS: LinuxCPU: Intel Core Ultra 5 325Last Updated: 2026-10-14

MedianP99

Framework	Requests per second How many requests per second can the framework handle? (higher is better)	Latency How long does it take to process a request? (lower is better)	Stability How stable is the framework under load? (median / P99 latency) (higher is better)	Memory How much memory (RAM) does the framework use? (lower is better)	Build Time Fetching dependencies + compiling, excluding SDK setup (lower is better)
Python v3.13 / FastAPI v0.108 (Uvicorn)	792	32.9 ms	20.81 %	63.3 MB	8.55 s
Python v3.12 / FastAPI v0.108 (Uvicorn)	789	33.3 ms	20.98 %	63.0 MB	9.23 s
Python v3.11 / FastAPI v0.108 (Uvicorn)	797	33.4 ms	20.38 %	62.4 MB	10.41 s
Python v3.10 / FastAPI v0.108 (Uvicorn)	646	40.7 ms	20.28 %	59.0 MB	10.17 s
Python v3.9 / FastAPI v0.108 (Uvicorn)	604	43.9 ms	20.90 %	58.6 MB	10.20 s
Python v3.8 / FastAPI v0.108 (Uvicorn)	792	33.9 ms	19.80 %	62.3 MB	10.19 s

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 with an emphasis on code clarity. It has an extensive standard library and large ecosystem of third-party packages for various domains. Python is used in web development, data analysis, artificial intelligence, and scientific computing, and is popular in educational settings.

Python web frameworks

How does FastAPI compare to other Python frameworks?

MedianP99

Framework	Requests per second How many requests per second can the framework handle? (higher is better)	Latency How long does it take to process a request? (lower is better)	Stability How stable is the framework under load? (median / P99 latency) (higher is better)	Memory How much memory (RAM) does the framework use? (lower is better)	Build Time Fetching dependencies + compiling, excluding SDK setup (lower is better)
Python / FastAPI (Uvicorn)	792	32.9 ms	20.81 %	63.3 MB	8.55 s
Python / Django (Development Server)	342	93.0 ms	71.94 %	106.2 MB	8.74 s
Python / Flask (Gunicorn)	320	99.9 ms	56.36 %	110.2 MB	8.94 s
Python / Django (Gunicorn)	279	103.8 ms	57.16 %	151.9 MB	10.29 s
Python / Flask (Development Server)	268	118.4 ms	85.17 %	43.3 MB	8.30 s
Python / Django (Uvicorn)	124	222.0 ms	61.19 %	60.8 MB	11.44 s

Popular web frameworks

How does FastAPI compare to other popular frameworks?

MedianP99

Framework	Requests per second How many requests per second can the framework handle? (higher is better)	Latency How long does it take to process a request? (lower is better)	Stability How stable is the framework under load? (median / P99 latency) (higher is better)	Memory How much memory (RAM) does the framework use? (lower is better)	Build Time Fetching dependencies + compiling, excluding SDK setup (lower is better)
Rust / Axum	26670	1.2 ms	74.13 %	16.5 MB	26.69 s
C# (.NET) / ASP.NET Core	17041	1.5 ms	23.04 %	101.8 MB	6.09 s
JavaScript (Node.js) / Express	15270	2.0 ms	29.45 %	228.4 MB	4.92 s
Java (Temurin) / Spring Boot (MVC)	2962	1.6 ms	1.86 %	286.4 MB	37.73 s
Go / Gin	1640	3.4 ms	3.65 %	23.1 MB	32.20 s
Python / FastAPI (Uvicorn)	792	32.9 ms	20.81 %	63.3 MB	8.55 s
Python / Flask (Gunicorn)	320	99.9 ms	56.36 %	110.2 MB	8.94 s
Python / Django (Gunicorn)	279	103.8 ms	57.16 %	151.9 MB	10.29 s
PHP / Laravel	92	319.0 ms	80.90 %	80.4 MB	95.22 s