SomeB1oody/RustyML
A high-performance machine learning library in pure Rust, offering statistical utilities, ML algorithms and neural networks.
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,009
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
RustyML gained 10 stars in the last 30 days, about 1 a day, and now has 343. It is about 2 years old and has averaged roughly 172 stars a year. It ranks #1,009 among Rust repositories and #10,346 across all languages on GitHubRepo.
Trending Record
11
DAYS ON TRENDING
#8300
BEST RANK
Oct 7, 2026
FIRST APPEARANCE
Active
STATUS TODAY
RustyML has maintained a continuous presence across global trending indexes, peaking at #8300. Below is the 30-day activity profile:
💡 Overview
RustyML is an open-source project written in Rust: A high-performance machine learning library in pure Rust, offering statistical utilities, ML algorithms and neural networks.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, machine-learning, machine-learning-algorithms. 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 RustyML⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
RustyML 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with RustyML.
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 RustyML using your package manager: `cargo install RustyML`
Initialize your project workspace or configuration file for RustyML.
Import RustyML into your codebase or invoke it directly from your terminal.
Execute your test suite or run `RustyML --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
SomeB1oody/RustyML is currently ranked #10,346 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #10,335 | plutoprint/plutobook | C++ | ★ 344 | Compare ↗ |
| #10,335 | Verified-zkEVM/ArkLib | Lean | ★ 344 | Compare ↗ |
| #10,335 | meangrinch/MangaTranslator | Python | ★ 344 | Compare ↗ |
| #10,335 | ModelEngine-Group/unified-cache-management | C++ | ★ 344 | Compare ↗ |
| #10,335 | openJiuwen-ai/iCode | Python | ★ 344 | Compare ↗ |
| #10,346 | SomeB1oody/RustyML This Project | Rust | ★ 343 | |
| #10,346 | ci-reporter/ci_reporter | Ruby | ★ 343 | Compare ↗ |
| #10,346 | ericholscher/django-test-utils | Python | ★ 343 | Compare ↗ |
| #10,346 | apache/syncope | Java | ★ 343 | Compare ↗ |
| #10,346 | jitsi/jicofo | Kotlin | ★ 343 | Compare ↗ |
| #10,346 | mateidavid/zstr | C++ | ★ 343 | Compare ↗ |
Frequently Asked Questions
What does RustyML do? +
A high-performance machine learning library in pure Rust, offering statistical utilities, ML algorithms and neural networks.
What language is RustyML written in? +
The primary language is Rust. Topics include: ai, machine-learning, machine-learning-algorithms, rust-crate.
Is RustyML actively maintained? +
Yes, the last recorded push was on Oct 6, 2026 with 1 open issues being tracked.
How many stars does RustyML have? +
RustyML has 343 stars and 65 forks on GitHub.
How does RustyML rank among GitHub repositories? +
With 343 stars, SomeB1oody/RustyML is ranked #10,346 globally across all repositories tracked on GitHubRepo and #1,009 among Rust projects.
What license is RustyML distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
