High-performance LLM, VLM, embedding, reranking, and audio inference for Apple Silicon and NVIDIA CUDA systems.
Star History
Momentum
+12
STARS · LAST 30 DAYS
1
PER DAY
#415
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +12 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
mlxcel gained 12 stars in the last 30 days, about 1 a day, and now has 472. It is about 1 year old and has averaged roughly 472 stars a year. It ranks #415 among Rust repositories and #4,161 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#2752
BEST RANK
Sep 26, 2026
FIRST APPEARANCE
Active
STATUS TODAY
mlxcel has maintained a continuous presence across global trending indexes, peaking at #2752. Below is the 30-day activity profile:
💡 Overview
mlxcel is an open-source project written in Rust: High-performance LLM, VLM, embedding, reranking, and audio inference for Apple Silicon and NVIDIA CUDA systems.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Rust. 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 Rust 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
$ cargo install mlxcel⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
mlxcel coordinates its core functionality through a modular Rust 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 mlxcel into Rust 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 mlxcel using your package manager: `cargo install mlxcel`
Initialize your project workspace or configuration file for mlxcel.
Import mlxcel into your codebase or invoke it directly from your terminal.
Execute your test suite or run `mlxcel --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
lablup/mlxcel is currently ranked #4,161 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #4,152 | aimen08/noty | Swift | ★ 475 | Compare ↗ |
| #4,157 | Growstuff/growstuff | Ruby | ★ 474 | Compare ↗ |
| #4,157 | theyosh/TerrariumPI | Python | ★ 474 | Compare ↗ |
| #4,157 | blowdart/idunno.Authentication | C# | ★ 474 | Compare ↗ |
| #4,160 | livekit/sip | Go | ★ 473 | Compare ↗ |
| #4,161 | lablup/mlxcel This Project | Rust | ★ 472 | |
| #4,161 | radar/humanize | Ruby | ★ 472 | Compare ↗ |
| #4,161 | w3c/webref | JavaScript | ★ 472 | Compare ↗ |
| #4,161 | vavallee/bindery | Go | ★ 472 | Compare ↗ |
| #4,165 | DataDog/terraform-provider-datadog | Go | ★ 471 | Compare ↗ |
| #4,165 | bscott/subtrackr | Go | ★ 471 | Compare ↗ |
Frequently Asked Questions
What does mlxcel do? +
High-performance LLM, VLM, embedding, reranking, and audio inference for Apple Silicon and NVIDIA CUDA systems.
What language is mlxcel written in? +
The primary language is Rust. Topics include: software.
Is mlxcel actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 159 open issues being tracked.
How many stars does mlxcel have? +
mlxcel has 472 stars and 55 forks on GitHub.
How does mlxcel rank among GitHub repositories? +
With 472 stars, lablup/mlxcel is ranked #4,161 globally across all repositories tracked on GitHubRepo and #415 among Rust projects.
What license is mlxcel distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
