profile-python-agent-workloads-with-scalene

name	Profile Python agent workloads with Scalene
slug	profile-python-agent-workloads-with-scalene
description	Use Scalene when a Python agent, tool server, or retrieval pipeline needs line-level CPU, GPU, and memory profiling before targeted optimization.
github_stars	13455
verification	security_reviewed
source	https://github.com/plasma-umass/scalene
author	plasma-umass
publisher_type	open_source
category	Code Quality & Review
framework	Multi-Framework
tool_ecosystem	{"github_repo":"plasma-umass/scalene","github_stars":13455}

Profile Python agent workloads with Scalene

Use Scalene when a Python agent, tool server, or retrieval pipeline needs line-level CPU, GPU, and memory profiling before targeted optimization.

Prerequisites

Python project or script that reproduces the workload; Scalene CLI; local or staging permission to run profiling

Installation

Use the upstream install or setup path that matches your environment:

• conda install -c conda-forge scalene

Requirements and caveats from upstream:

• (tweet from Ian Ozsvald, author of High Performance Python)
• Python Profiler Links to AI to Improve Code Scalene identifies inefficiencies and asks GPT-4 for suggestions, IEEE Spectrum
• Episode 172: Measuring Multiple Facets of Python Performance With Scalene, The Real Python podcast

Basic usage or getting-started notes:

• [](https://anaconda.org/conda-forge/sca...

• 

• python3 -m pip install -U scalene

• Source: https://github.com/plasma-umass/scalene

• Extracted from upstream docs: https://raw.githubusercontent.com/plasma-umass/scalene/HEAD/README.md

Documentation

• https://github.com/plasma-umass/scalene

Source

• Agent Skill Exchange