workflowstacks
ai-agent

Scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
13,484 stars435 forksPythonUpdated 8/1/2026100% free · open source
What it does

Scalene is a Python profiler that uses AI to optimize CPU, GPU, and memory usage, providing detailed performance analysis and proposals for improvement.

When to use it
  • •When you need to identify performance bottlenecks in your Python application
  • •When you want to optimize CPU, GPU, and memory usage for better overall performance
  • •When you need detailed, high-precision profiling for scientific computing or data-intensive workloads
Ready-to-paste prompt
python -m scalene --cpu-only --profile-gpu --output-file profiling_results.html your_script.py
Heads up: Scalene requires Python 3.6 or later to run, and may not work correctly with certain Python distributions, such as PyPy
Saves to your device
Use with Claude
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Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/scalene && curl -fsSL https://workflowstacks.com/api/skills/scalene/claude-skill -o ~/.claude/skills/scalene/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Scalene works
Codeflow
Free to inspect

Scalene is a large Python project (~34k lines across 121 code files, plus 231 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, Apache-2.0 license, has a test suite.

Size
Large codebase
~34k lines · 121 code files · ~5 h to skim
Setup
One-command install
Installs like a normal app. Reading the code is optional.
Runs on
Python
No API keys detected
Python 59%JavaScript 16%C++ 8%TypeScript 7%Lean 7%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    CLAUDE.md
    The instructions the AI actually follows
  3. 3
    scalene/__main__.py
    Where the program starts running
  4. 4
    pyproject.toml
    Dependencies and the commands it exposes
  5. 5
    scalene/__init__.py
    Inside scalene/ — the main logic begins here
What's in each folder
scalene/Core code — the actual logic101 files
src/Core code — the actual logic25 files
agents/Prompts, skills & agent definitions1 files
docs/Documentation21 files
formal/Folder32 files
benchmarks/Evaluations & benchmarks6 files
test/Tests — proof it works165 files
tests/Tests — proof it works147 files
READMEHas testsDocumentedCI checksApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
plasma-umass
Language
Python
Category
ai-agent
Published
12/17/2019

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