Extremely fast Query Engine for DataFrames, written in Rust
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Updated
Aug 26, 2026 - Rust
Extremely fast Query Engine for DataFrames, written in Rust
Out-of-core graph processing on a single machine.
biglasso: Extending Lasso Model Fitting to Big Data in R
KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means
A WebGPU-native out-of-core rendering system for large virtualized volumetric data.
GraphFrames but in DataFusion
Python bindings to the libmf c++ repo for Matrix Factorization. libmf is fast, highly parallel, and can support factoring large matrices without holding them all in memory.
Run models too big for RAM on Apple Silicon — any Hugging Face model, dense or MoE — by streaming weights from disk
Source code of my master thesis on occlusion culling for (out-of-core) path tracing
Single-pass exploratory data analysis on streaming algorithms. Bounded memory at any dataset size, pandas and Polars, self-contained HTML reports.
Optimised multi-node MPI sorting algorithms in Julia
Big-file data prep that never runs out of memory - an interactive shell and CLI, powered by DuckDB.
A fast, bare-bones C++14/17 reader for larger-than-memory PLY files
Easy out-of-core computing with nested data structures in Python as a drop-in replacement of dict
Toolkit library for supporting high-performance, scientific applications
BLOCKSET: Efficient out of core tree ensemble inference
MegaMmap: Blurring the Boundary Between Memory and Storage for Data-Intensive HPC Workloads. A software distributed shared memory system that enables infinite memory capacity through intelligent tiered DRAM and storage management.
High-performance out-of-core GPU matrix multiplication using cuBLAS with NUMA-aware memory management.
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