scirs2-python 0.3.1

Python bindings for SciRS2 - A comprehensive scientific computing library in Rust (SciPy alternative)
Documentation

scirs2-python

There is very little structured metadata to build this page from currently. You should check the main library docs, readme, or Cargo.toml in case the author documented the features in them.

This version has 28 feature flags, 24 of them enabled by default.

default

autograd (default)

This feature flag does not enable additional features.

cluster (default)

This feature flag does not enable additional features.

datasets (default)

This feature flag does not enable additional features.

fft (default)

This feature flag does not enable additional features.

graph (default)

integrate (default)

This feature flag does not enable additional features.

interpolate (default)

This feature flag does not enable additional features.

io (default)

This feature flag does not enable additional features.

linalg (default)

This feature flag does not enable additional features.

metrics (default)

This feature flag does not enable additional features.

ndimage (default)

This feature flag does not enable additional features.

neural (default)

This feature flag does not enable additional features.

optimize (default)

This feature flag does not enable additional features.

oxifft (default)

random (default)

series (default)

This feature flag does not enable additional features.

signal (default)

This feature flag does not enable additional features.

sparse (default)

This feature flag does not enable additional features.

spatial (default)

This feature flag does not enable additional features.

special (default)

This feature flag does not enable additional features.

stats (default)

This feature flag does not enable additional features.

text (default)

This feature flag does not enable additional features.

transform (default)

This feature flag does not enable additional features.

vision (default)

This feature flag does not enable additional features.

full

gpu

parallel

simd