SingleRust
A High-Performance Toolkit for Single-Cell Data Analysis at Scale. Built with Rust for maximum performance and reliability.
Performance First
Built for Scale
SingleRust delivers unmatched performance for single-cell data analysis, leveraging Rust's memory safety and speed to handle massive datasets efficiently.
- Lightning Fast Processing.
- Process millions of cells in minutes, not hours. Our Rust-powered engine delivers up to 24x faster performance than traditional Python-based tools.
- Memory Safe Operations.
- Built with Rust's ownership system, ensuring zero memory leaks and preventing crashes even with the largest datasets.
- Scalable Architecture.
- From single samples to population-scale studies, SingleRust scales seamlessly across compute environments and cloud platforms.
Why Rust?
The Right Tool for Computational Biology
Rust combines the performance of C/C++ with modern safety guarantees, making it ideal for processing large-scale biological datasets.
Zero-Cost Abstractions
Write high-level, readable code without sacrificing performance. Rust's compiler optimizes abstractions away at compile time.
Memory Safety
No null pointers, no buffer overflows, no data races. Rust's ownership system catches bugs at compile time, not runtime.
Fearless Concurrency
Parallelize your analysis across all CPU cores safely. The compiler prevents data races, making concurrent code reliable.
Deploy Anywhere
Production Ready
From local workstations to cloud infrastructure, SingleRust deploys seamlessly across any environment with minimal dependencies and maximum reliability.
- Nextflow Pipeline.
- Ready-to-use Nextflow workflows for seamless integration into existing bioinformatics pipelines and workflow management systems.
- Docker / Singularity Container.
- Pre-built containers with all dependencies included, ensuring consistent execution across development, testing, and production environments.
- Custom Pipeline & Binary.
- Build your own solutions using our comprehensive examples or start from scratch with our flexible toolkit and extensive documentation.