_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-numbagg 0.9.4
Propagated dependencies: python-numba@0.66.0 python-numpy@2.4.6
Channel: guix
Location: gnu/packages/python-science.scm (gnu packages python-science)
Home page: https://github.com/numbagg/numbagg
Licenses: Modified BSD
Build system: pyproject
Synopsis: Fast N-dimensional aggregation functions with Numba
Description:

Numbagg provides high-performance implementations for moving window, aggregation, and grouping functions. It leverages Numba's JIT compilation and is especially performant on multi-core parallelism.

Total packages: 1