Paper published in GigaScience 18/02/2026 In our paper “NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data”, we present a Python package with Numba and OpenMP-powered C++ backends for fast and memory-efficient statistical testing in the presence of missing data. Post navigation Previous Post Previous Post Next Post Next Post
In our paper “NApy: Efficient Statistics in Python for Large-Scale Heterogeneous Data with Enhanced Support for Missing Data”, we present a Python package with Numba and OpenMP-powered C++ backends for fast and memory-efficient statistical testing in the presence of missing data.