A reading path for CPU performance engineering, from one instruction to production inference. Primary sources only, with a runnable benchmark for every section.
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+23
STARS · LAST 30 DAYS
1
PER DAY
#638
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +23 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
cpu-performance-engineering gained 23 stars in the last 30 days, about 1 a day, and now has 931. It is about 1 year old and has averaged roughly 931 stars a year. It ranks #638 among Python repositories and #4,781 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#174
BEST RANK
Oct 5, 2026
FIRST APPEARANCE
Active
STATUS TODAY
cpu-performance-engineering has maintained a continuous presence across global trending indexes, peaking at #174. Below is the 30-day activity profile:
💡 Overview
cpu-performance-engineering is an open-source project written in Python: A reading path for CPU performance engineering, from one instruction to production inference. Primary sources only, with a runnable benchmark for every section.
Engineered for speed, consistency, and developer ease, it solves common hurdles in arm, awesome-list, benchmarks. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install cpu-performance-engineering⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
cpu-performance-engineering coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with cpu-performance-engineering.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install cpu-performance-engineering using your package manager: `pip install cpu-performance-engineering`
Initialize your project workspace or configuration file for cpu-performance-engineering.
Import cpu-performance-engineering into your codebase or invoke it directly from your terminal.
Execute your test suite or run `cpu-performance-engineering --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
usamahz/cpu-performance-engineering is currently ranked #4,781 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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| #4,781 | usamahz/cpu-performance-engineering This Project | Python | ★ 931 | |
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Frequently Asked Questions
What does cpu-performance-engineering do? +
A reading path for CPU performance engineering, from one instruction to production inference. Primary sources only, with a runnable benchmark for every section.
What language is cpu-performance-engineering written in? +
The primary language is Python. Topics include: arm, awesome-list, benchmarks, computer-architecture, cpu.
Is cpu-performance-engineering actively maintained? +
Yes, the last recorded push was on Oct 5, 2026 with 2 open issues being tracked.
How many stars does cpu-performance-engineering have? +
cpu-performance-engineering has 931 stars and 74 forks on GitHub.
How does cpu-performance-engineering rank among GitHub repositories? +
With 931 stars, usamahz/cpu-performance-engineering is ranked #4,781 globally across all repositories tracked on GitHubRepo and #638 among Python projects.
What license is cpu-performance-engineering distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
