pypy-numpy |
4.0.1 |
NumPy is the fundamental package for scientific computing with Python |
meta-pypy |
python3-numpy |
2.3.0 |
A sophisticated Numeric Processing Package for Python |
openembedded-core |
python3-numpy |
2.3.0 |
A sophisticated Numeric Processing Package for Python |
meta-voltumna |
python3-numpy |
2.2.6 |
A sophisticated Numeric Processing Package for Python |
meta-voltumna |
ros-numpy |
0.0.3-1 |
A collection of conversion function for extracting numpy arrays from messages |
meta-ros1-melodic |
ros-numpy |
0.0.5-2 |
A collection of conversion function for extracting numpy arrays from messages |
meta-ros1-noetic |
eigenpy |
2.6.9-1 |
Bindings between Numpy and Eigen using Boost.Python |
meta-ros1-melodic |
eigenpy |
2.5.0-2 |
Bindings between Numpy and Eigen using Boost.Python |
meta-ros2-eloquent |
eigenpy |
2.5.0-1 |
Bindings between Numpy and Eigen using Boost.Python |
meta-ros2-foxy |
eigenpy |
3.10.3-1 |
Bindings between Numpy and Eigen using Boost.Python |
meta-ros2-rolling |
eigenpy |
3.8.2-1 |
Bindings between Numpy and Eigen using Boost.Python |
meta-ros1-noetic |
eigenpy |
3.10.3-1 |
Bindings between Numpy and Eigen using Boost.Python |
meta-ros2-humble |
eigenpy |
3.7.0-1 |
Bindings between Numpy and Eigen using Boost.Python |
meta-ros2-iron |
eigenpy |
3.10.3-1 |
Bindings between Numpy and Eigen using Boost.Python |
meta-ros2-jazzy |
python-pint |
0.9 |
Physical quantities module |
meta-python2 |
python3-mldtypes |
0.5.1 |
The ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning libraries |
meta-tensorflow |
python3-orjson |
3.10.18 |
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy |
meta-homeassistant |
python3-pymap3d |
3.0.1 |
pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci |
meta-ros2 |
python3-pytablewriter |
1.2.0 |
pytablewriter |
meta-shift |