Page 6 of 8 | Showing ports 501 to
600
| Name |
Version |
Description |
| py36-lmfit |
1.0.1 |
Least-Squares Minimization with Bounds and Constraints |
| py36-matplotlib |
3.3.3 |
Matplotlib is a python plotting library |
| py36-matplotlib-basemap |
1.2.1 |
matplotlib toolkit for plotting data on map projections |
| py36-mayavi |
4.7.1 |
The Enthought mayavi package |
| py36-mmh3 |
2.5.1 |
Python wrapper for MurmurHash (MurmurHash3), a set of fast and robust hash functions. |
| py36-mpmath |
1.1.0 |
Arbitrary-precision floating-point library for Python |
| py36-numdifftools |
0.9.39 |
Solve automatic numerical differentiation problems in one or more variables. |
| py36-numexpr |
2.7.2 |
Multiple-operator array expression evaluator |
| py36-numpy |
1.19.5 |
The core utilities for the scientific library scipy for Python |
| py36-openopt |
0.5629 |
Numerical optimization framework for python |
| py36-patsy |
0.5.1 |
Python package for describing statistical models. |
| py36-petsc4py |
3.13.0 |
PETSc for Python - Python bindings for PETSc |
| py36-polygon |
3.0.8 |
Python bindings for General Polygon Clipping Library |
| py36-pycrlibm |
1.0.3 |
Python bindings for CRlibm |
| py36-pyfftw |
0.10.4 |
pythonic python wrapper around FFTW |
| py36-pygeos |
0.8 |
PyGEOS is a C/Python library with vectorized geometry functions. |
| py36-pygpu |
0.7.6 |
Python wrapper for libgpuarray library |
| py36-pyinterval |
1.2.0 |
Interval arithmetic in Python |
| py36-pymvpa |
2.6.5 |
MultiVariate Pattern Analysis (MVPA) in Python. |
| py36-pyqtgraph |
0.11.1 |
Scientific Graphics and Qt GUI library for Python |
| py36-pywavelets |
1.1.1 |
PyWavelets is a Python wavelet transforms module |
| py36-scikits-bootstrap |
1.0.0 |
Bootstrap confidence interval estimation routines for SciPy. |
| py36-scikit-umfpack |
0.2.3 |
scikit-umfpack provides wrapper of UMFPACK sparse direct solver to SciPy. |
| py36-slepc4py |
3.12.0 |
SLEPc for Python - Python bindings for SLEPc |
| py36-snuggs |
1.4.7 |
Snuggs are s-expressions for Numpy |
| py36-statsmodels |
0.12.1 |
Statistical computations and models for use with SciPy |
| py36-sympy |
1.7.1 |
Python module for symbolic mathematics. |
| py36-tpot |
0.11.6.post3 |
Tree-based Pipeline Optimization Tool |
| py36-triangle |
20160203 |
Python binding to the triangle library |
| py36-ufl |
2018.1.0 |
Unified Form Language |
| py36-uncertainties |
3.1.5 |
The python uncertainties package. |
| py36-xarray |
0.16.2 |
Provides N-D labeled arrays and datasets in Python |
| py37-affine |
2.3.0 |
Matrices describing affine transformation of the plane. |
| py37-algopy |
0.5.7 |
AlgoPy is a Research Prototype for Algorithmic Differentation in Python |
| py37-asteval |
0.9.21 |
Safe, minimalistic evaluator of python expression using ast module |
| py37-bigfloat |
0.4.0 |
Arbitrary-precision correctly-rounded floating-point arithmetic, via MPFR. |
| py37-biggles |
1.7.2 |
Creates 2D scientific plots |
| py37-bitarray |
1.1.0 |
A efficient implementation of arrays of booleans |
| py37-BitArray2D |
2.1 |
A memory-efficient packed representation for 2D bit arrays |
| py37-BitVector |
3.4.9 |
A memory-efficient packed representation for bit arrays |
| py37-bottleneck |
1.3.2 |
Fast NumPy array functions written in Cython |
| py37-clawpack |
5.7.0 |
a collection of finite volume methods for linear and nonlinear hyperbolic systems of conservation laws |
| py37-colormath |
3.0.0 |
Simplify color math operations in python |
| py37-cvxopt |
1.2.5 |
Python module for convex optimization |
| py37-cycler |
0.10.0 |
cycler: composable cycles |
| py37-dlib |
19.21 |
Python 3.7 bindings for Modern C++ toolkit for machine learning, image processing, and more. |
| py37-eli5 |
0.10.1 |
A library for debugging/inspecting machine learning classifiers and explaining their predictions |
| py37-emcee |
2.2.1 |
affine-invariant ensemble MCMC sampling |
| py37-erf |
1.0.1 |
Bootstrap confidence interval estimation routines for SciPy. |
| py37-faiss |
1.6.4 |
Python 3.7 bindings for Efficient similarity search library from Facebook AI Research. |
| py37-fipy |
3.3 |
FiPy: A Finite Volume PDE Solver Using Python |
| py37-igraph |
0.8.3 |
Python interface to the igraph library. |
| py37-keras |
2.4.3 |
Deep Learning library for Theano and TensorFlow |
| py37-keras_applications |
1.0.8 |
Keras Applications is the applications module of the Keras deep learning library. |
| py37-keras_preprocessing |
1.1.2 |
Keras Preprocessing is the data preprocessing and data augmentation module of the Keras deep learning library. |
| py37-kiwisolver |
1.3.1 |
Kiwi is an efficient C++ implementation of the Cassowary constraint solving algorithm. |
| py37-lmfit |
1.0.1 |
Least-Squares Minimization with Bounds and Constraints |
| py37-matplotlib |
3.3.3 |
Matplotlib is a python plotting library |
| py37-matplotlib-basemap |
1.2.1 |
matplotlib toolkit for plotting data on map projections |
| py37-mayavi |
4.7.1 |
The Enthought mayavi package |
| py37-mmh3 |
2.5.1 |
Python wrapper for MurmurHash (MurmurHash3), a set of fast and robust hash functions. |
| py37-mpmath |
1.1.0 |
Arbitrary-precision floating-point library for Python |
| py37-numdifftools |
0.9.39 |
Solve automatic numerical differentiation problems in one or more variables. |
| py37-numexpr |
2.7.2 |
Multiple-operator array expression evaluator |
| py37-numpy |
1.19.5 |
The core utilities for the scientific library scipy for Python |
| py37-openopt |
0.5629 |
Numerical optimization framework for python |
| py37-patsy |
0.5.1 |
Python package for describing statistical models. |
| py37-petsc4py |
3.13.0 |
PETSc for Python - Python bindings for PETSc |
| py37-pygeos |
0.8 |
PyGEOS is a C/Python library with vectorized geometry functions. |
| py37-pygpu |
0.7.6 |
Python wrapper for libgpuarray library |
| py37-pymvpa |
2.6.5 |
MultiVariate Pattern Analysis (MVPA) in Python. |
| py37-pyqtgraph |
0.11.1 |
Scientific Graphics and Qt GUI library for Python |
| py37-pywavelets |
1.1.1 |
PyWavelets is a Python wavelet transforms module |
| py37-scikits-bootstrap |
1.0.0 |
Bootstrap confidence interval estimation routines for SciPy. |
| py37-slepc4py |
3.12.0 |
SLEPc for Python - Python bindings for SLEPc |
| py37-snuggs |
1.4.7 |
Snuggs are s-expressions for Numpy |
| py37-statsmodels |
0.12.1 |
Statistical computations and models for use with SciPy |
| py37-sympy |
1.7.1 |
Python module for symbolic mathematics. |
| py37-tpot |
0.11.6.post3 |
Tree-based Pipeline Optimization Tool |
| py37-uncertainties |
3.1.5 |
The python uncertainties package. |
| py37-xarray |
0.16.2 |
Provides N-D labeled arrays and datasets in Python |
| py38-affine |
2.3.0 |
Matrices describing affine transformation of the plane. |
| py38-algopy |
0.5.7 |
AlgoPy is a Research Prototype for Algorithmic Differentation in Python |
| py38-asteval |
0.9.21 |
Safe, minimalistic evaluator of python expression using ast module |
| py38-bigfloat |
0.4.0 |
Arbitrary-precision correctly-rounded floating-point arithmetic, via MPFR. |
| py38-bitarray |
1.1.0 |
A efficient implementation of arrays of booleans |
| py38-bottleneck |
1.3.2 |
Fast NumPy array functions written in Cython |
| py38-clawpack |
5.7.0 |
a collection of finite volume methods for linear and nonlinear hyperbolic systems of conservation laws |
| py38-colormath |
3.0.0 |
Simplify color math operations in python |
| py38-cvxopt |
1.2.5 |
Python module for convex optimization |
| py38-cycler |
0.10.0 |
cycler: composable cycles |
| py38-dlib |
19.21 |
Python 3.8 bindings for Modern C++ toolkit for machine learning, image processing, and more. |
| py38-eli5 |
0.10.1 |
A library for debugging/inspecting machine learning classifiers and explaining their predictions |
| py38-emcee |
2.2.1 |
affine-invariant ensemble MCMC sampling |
| py38-erf |
1.0.1 |
Bootstrap confidence interval estimation routines for SciPy. |
| py38-faiss |
1.6.4 |
Python 3.8 bindings for Efficient similarity search library from Facebook AI Research. |
| py38-igraph |
0.8.3 |
Python interface to the igraph library. |
| py38-keras |
2.4.3 |
Deep Learning library for Theano and TensorFlow |
| py38-keras_applications |
1.0.8 |
Keras Applications is the applications module of the Keras deep learning library. |
| py38-keras_preprocessing |
1.1.2 |
Keras Preprocessing is the data preprocessing and data augmentation module of the Keras deep learning library. |
