Home/Evaluation & Observability/scalene

scalene

plasma-umass/scalene

High-performance CPU, GPU, and memory profiler for Python with AI-powered optimization

GitHub

GraphCanon updated Sep 30, 2026 · GitHub synced Sep 30, 2026

31views this month

14k stars439 forksLast push Sep 27, 2026 Python Apache-2.0

Decision brief

Scalene is a high-performance CPU, GPU, and memory profiler for Python that uses AI to suggest optimizations.

Good fit when

When you need precise profiling of both CPU and GPU performance in Python applications
For optimization suggestions powered by artificial intelligence

Avoid when

If your project does not involve Python, as Scalene is specific to this language
Avoid if your system lacks necessary dependencies like Visual C++ Redistributable on Windows

Observed Jul 17, 2026 · Source: enrich:decision_facts

scalene alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Very active (2d since push); As of Sep 30, 2026
Provenance: Not a fork · Organization account; As of Sep 30, 2026
Security (OSV): 18 low (18 low); As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install scalene

PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

netdata

The fastest path to AI-powered full stack observability for lean teams

81k★

llmfit

Hardware-aware model recommendation tool

37k★

optuna

A hyperparameter optimization framework

15k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Scalene profiles the performance of Python programs on CPUs and GPUs, offering precise profiling with suggestions for optimization.

Capability facts

CLI: CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 30, 2026
Languages: python
Source: github.language+pyproject.toml · Sep 30, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 30, 2026)

python3 -m pip install -U scalene

Source link

Works with VS CodeVS Code

Source: README excerpt (regex_v1, Sep 30, 2026)

Using the Scalene VS Code Extension:

Source link

README

Quick Start Installing Scalene: or Using Scalene: After installing Scalene, you can use Scalene at the command line, or as a Visual Studio Code extension. <details <summary Using the Scalene VS Code Extension: </summary First, install <a href="https://marketplace.visualstudio.com...

For agents

This page has a .md twin and JSON over the API.

/tools/plasma-umass-scalene.md GET /api/graphcanon/tools/plasma-umass-scalene GET /api/graphcanon/graph?tool=plasma-umass-scalene