Profiling Tools Interfaces for GPU (PTI for GPU) is a set of Getting Started Documentation and Tools Library to start performance analysis on Intel(R) Processor Graphics easily
⚡ Executive Summary & Quick Facts
Authoritative Sourcepti-gpu is pti-gpu is an open-source project written in C++: Profiling Tools Interfaces for GPU (PTI for GPU) is a set of Getting Started Documentation and Tools Library to start performance analysis on Intel(R) Processor Graphics easily..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), intel/pti-gpu has accumulated 274 GitHub stars and 72 forks. It is written in C++, licensed under MIT, and ranks #16,628 globally. It is actively maintained with the latest commit recorded on Sep 28, 2026.”
| Repository | intel/pti-gpu ↗ |
|---|---|
| Primary Category | code samples |
| Language & Stack | C++ |
| Software License | MIT |
| Community Traction | ★ 274 stars · ⑂ 72 forks · #16,628 globally |
| Maintenance | ● Active (Last commit: Sep 28, 2026) · 33 open issues |
| Target Audience | Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 88/100 · Grade AYes, pti-gpu is actively maintained. Continuous telemetry recorded the last code commit on Sep 28, 2026 (45 days ago). Supported by 274 stars and 72 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (45 days ago) and healthy issue cadence.
Star History
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+0
STARS · LAST 30 DAYS
1
PER DAY
#1,332
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +0 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +0 | +10 |
pti-gpu gained 0 stars in the last 30 days, about 1 a day, and now has 274. It is about 6 years old and has averaged roughly 46 stars a year. It ranks #1,332 among C++ repositories and #16,628 across all languages on GitHubRepo.
Trending Record
44
DAYS ON TRENDING
#2606
BEST RANK
Sep 25, 2026
FIRST APPEARANCE
Active
STATUS TODAY
pti-gpu has maintained a continuous presence across global trending indexes, peaking at #2606. Below is the 30-day activity profile:
💡 Overview
pti-gpu is an open-source project written in C++: Profiling Tools Interfaces for GPU (PTI for GPU) is a set of Getting Started Documentation and Tools Library to start performance analysis on Intel(R) Processor Graphics easily.
Engineered for speed, consistency, and developer ease, it solves common hurdles in code-samples, kits-toolkits, performance-analyzers. 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 C++ 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
$ git clone https://github.com/intel/pti-gpu.git
cd pti-gpu⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
pti-gpu coordinates its core functionality through a modular C++ 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
Command-Line Automation
Execute automated build, deployment, and maintenance tasks directly from the terminal.
CI/CD Workflow Integration
Run non-interactive validation checks in GitHub Actions, GitLab CI, or local pre-commit hooks.
Developer Environment Setup
Standardize local engineering workstations with single-binary utility commands.
Scripting & Pipeline Orchestration
Chain complex multi-stage scripts with reliable error reporting and exits.
🚀 Getting Started
Install pti-gpu using your package manager: `git clone https://github.com/intel/pti-gpu.git`
Initialize your project workspace or configuration file for pti-gpu.
Import pti-gpu into your codebase or invoke it directly from your terminal.
Execute your test suite or run `pti-gpu --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
intel/pti-gpu is currently ranked #16,628 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
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| #16,628 | intel/pti-gpu This Project | C++ | ★ 274 | |
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Frequently Asked Questions
What does pti-gpu do? +
Profiling Tools Interfaces for GPU (PTI for GPU) is a set of Getting Started Documentation and Tools Library to start performance analysis on Intel(R) Processor Graphics easily
Is pti-gpu actively maintained in 2026? +
Yes, pti-gpu is actively maintained. The latest code push was recorded on Sep 28, 2026 (45 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 274 stars and 33 open issues.
What language is pti-gpu written in? +
The primary language is C++. Topics include: code-samples, kits-toolkits, performance-analyzers, swrepo, system-tools.
How many stars does pti-gpu have? +
pti-gpu has 274 stars and 72 forks on GitHub.
How does pti-gpu rank among GitHub repositories? +
With 274 stars, intel/pti-gpu is ranked #16,628 globally across all repositories tracked on GitHubRepo and #1,332 among C++ projects.
What license is pti-gpu distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
