Tools for concurrent programming in Rust
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Updated
Jan 23, 2026 - Rust
Tools for concurrent programming in Rust
A very simple thread pool for parallel task execution
Fastest and safest Rust implementation of parquet. `unsafe` free. Integration-tested against pyarrow
Sci-Fi galaxy simulation with heavy procedural generation focus
A simple thread pool for stateful parallel task execution
High-performance concurrency, synchronization, scheduling, and logging primitives.
🚀 Master Rust programming with this comprehensive roadmap! Explore fundamental and advanced concepts, code examples, and resources.
Neural network and matrix library with parallized learning build from the ground up. Educational project.
Fractal renderer written in rust supporting multithreading, gpu compute and wasm
Toggle parallelism with feature flags!
RustyPBBS: a suite of parallel benchmarks in Rust
Parallel implementations of the Hooke-Jeeves optimization algorithm in Rust using multithreading, MPI-based multiprocessing and hybrid schemes.
Adaptive Rust pipeline for high-throughput file processing—dynamic chunking, parallelism, AES/ChaCha encryption, backpressure, and Prometheus/tracing.
Asynchronous Programming in Rust, published by Packt
Random Forest machine learning library written in Rust
🚀 Master Rust programming with this comprehensive roadmap! Explore fundamental and advanced concepts, code examples, and resources.
Performant data structures in Rust
💡 An implementation of Ray Tracing in One Weekend and Ray Tracing: The Next Week in 2.1 kLoC of Rust.
A data parallelism library similar to Rayon with comparable performance as a simpler replacement for most use cases
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