google-ai-edge/ml-drift
GPU-Accelerated AI/ML Inference
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#986
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
ml-drift gained 10 stars in the last 30 days, about 1 a day, and now has 216. It is about 1 year old and has averaged roughly 216 stars a year. It ranks #986 among C++ repositories and #12,903 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#12508
BEST RANK
Oct 17, 2026
FIRST APPEARANCE
Active
STATUS TODAY
ml-drift has maintained a continuous presence across global trending indexes, peaking at #12508. Below is the 30-day activity profile:
💡 Overview
ml-drift is an open-source project written in C++: GPU-Accelerated AI/ML Inference.
Engineered for speed, consistency, and developer ease, it solves common hurdles in C++. 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/google-ai-edge/ml-drift.git
cd ml-drift⚙ 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
ml-drift 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
Production System Integration
Embed ml-drift into C++ backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open Apache-2.0 license.
🚀 Getting Started
Install ml-drift using your package manager: `git clone https://github.com/google-ai-edge/ml-drift.git`
Initialize your project workspace or configuration file for ml-drift.
Import ml-drift into your codebase or invoke it directly from your terminal.
Execute your test suite or run `ml-drift --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
google-ai-edge/ml-drift is currently ranked #12,903 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #12,875 | DawnMagnet/hearthstone-linux-gui | Rust | ★ 217 | Compare ↗ |
| #12,875 | llamastash/llamastash | Rust | ★ 217 | Compare ↗ |
| #12,875 | xiao-villamor/PrintStash | Python | ★ 217 | Compare ↗ |
| #12,875 | open-mercato/skills | JavaScript | ★ 217 | Compare ↗ |
| #12,875 | overment/limen | TypeScript | ★ 217 | Compare ↗ |
| #12,903 | google-ai-edge/ml-drift This Project | C++ | ★ 216 | |
| #12,903 | bloopletech/json2html | JavaScript | ★ 216 | Compare ↗ |
| #12,903 | miracle2k/android-autostarts | Java | ★ 216 | Compare ↗ |
| #12,903 | octo/liboping | C | ★ 216 | Compare ↗ |
| #12,903 | nkallen/querulous | Scala | ★ 216 | Compare ↗ |
| #12,903 | jenkinsci/cucumber-reports-plugin | Java | ★ 216 | Compare ↗ |
Frequently Asked Questions
What does ml-drift do? +
GPU-Accelerated AI/ML Inference
What language is ml-drift written in? +
The primary language is C++. Topics include: software.
Is ml-drift actively maintained? +
Yes, the last recorded push was on Oct 16, 2026 with 11 open issues being tracked.
How many stars does ml-drift have? +
ml-drift has 216 stars and 24 forks on GitHub.
How does ml-drift rank among GitHub repositories? +
With 216 stars, google-ai-edge/ml-drift is ranked #12,903 globally across all repositories tracked on GitHubRepo and #986 among C++ projects.
What license is ml-drift distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
