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About

Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.

About

statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Component Library solution for DevOps teams

Audience

Users and anyone in search of a solution to calculate the estimation of many different statistical models

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

NumPy
numpy.org

Company Information

statsmodels
www.statsmodels.org/stable/index.html

Alternatives

Alternatives

h5py

h5py

HDF5
kondeor.ai

kondeor.ai

Kondeor

Categories

Categories

Integrations

3LC Supported
Anaconda Not Supported
Avanzai Supported
Codédex Supported
Coiled Supported
Cython Supported
Dash Supported
Flower Supported
JAX Supported
MPI for Python (mpi4py) Supported
NVIDIA FLARE Supported
PaizaCloud Supported
PyCharm Supported
Python Not Supported
Spyder Supported
Train in Data Supported
Unify AI Supported
Visual Studio Code Supported
Yamak.ai Supported
h5py Supported

Integrations

3LC Not Supported
Anaconda Supported
Avanzai Not Supported
Codédex Not Supported
Coiled Not Supported
Cython Not Supported
Dash Not Supported
Flower Not Supported
JAX Not Supported
MPI for Python (mpi4py) Not Supported
NVIDIA FLARE Not Supported
PaizaCloud Not Supported
PyCharm Not Supported
Python Supported
Spyder Not Supported
Train in Data Not Supported
Unify AI Not Supported
Visual Studio Code Not Supported
Yamak.ai Not Supported
h5py Not Supported
Claim NumPy and update features and information
Claim NumPy and update features and information
Claim statsmodels and update features and information
Claim statsmodels and update features and information