Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Dialfire Reviews & Ratings
    27 Ratings
    Company Website
  • TinyPNG Reviews & Ratings
    51 Ratings
    Company Website
  • JOpt.TourOptimizer Reviews & Ratings
    10 Ratings
    Company Website
  • Evertune Reviews & Ratings
    1 Rating
    Company Website
  • SKU Science Reviews & Ratings
    16 Ratings
    Company Website
  • Smoobu Reviews & Ratings
    206 Ratings
    Company Website
  • RaimaDB Reviews & Ratings
    12 Ratings
    Company Website
  • NetNut Reviews & Ratings
    578 Ratings
    Company Website
  • R3 Contract Management for GovCon Reviews & Ratings
    1 Rating
    Company Website
  • Innoslate Reviews & Ratings
    91 Ratings
    Company Website

What is statsmodels?

Statsmodels is a Python library tailored for estimating a variety of statistical models, allowing users to conduct robust statistical tests and analyze data with ease. Each estimator is accompanied by an extensive set of result statistics, which have been corroborated with reputable statistical software to guarantee precision. This library is available under the open-source Modified BSD (3-clause) license, facilitating free usage and modifications. Users can define models using R-style formulas or conveniently work with pandas DataFrames. To explore the available results, one can execute dir(results), where attributes are explained in results.__doc__, and methods come with their own docstrings for additional help. Furthermore, numpy arrays can also be utilized as an alternative to traditional formulas. For most individuals, the easiest method to install statsmodels is via the Anaconda distribution, which supports data analysis and scientific computing tasks across multiple platforms. In summary, statsmodels is an invaluable asset for statisticians and data analysts, making it easier to derive insights from complex datasets. With its user-friendly interface and comprehensive documentation, it stands out as a go-to resource in the field of statistical modeling.

What is Statwing?

Statwing was specifically created for analysts, allowing you to efficiently clean data, identify relationships, and produce charts in just minutes instead of hours. This platform delivers a uniquely enjoyable experience for data manipulation, catering particularly to those who are already adept with spreadsheets, which constitute the majority of its user base. In the quest to pose simple questions within spreadsheets, users frequently waste precious time manipulating data, creating charts, utilizing pivot tables, and developing intricate calculations. Moreover, when dealing with substantial datasets, spreadsheets can slow down considerably or even freeze. Traditional statistical software, designed long ago for statisticians, typically requires a significant level of technical expertise to ask even the most straightforward questions. Conversely, Statwing effectively confronts common data issues, such as outliers, ensuring that your analyses maintain a high level of reliability. It also makes understanding results easier by translating them into everyday language, which opens the doors for analysts without a statistical background to engage with the data. This user-friendly approach not only enhances accessibility but also empowers a more diverse group of individuals to take advantage of data analysis, breaking down the usual obstacles linked to conventional tools. As a result, Statwing stands out as a modern solution that significantly improves the efficiency and effectiveness of data analysis for all users.

What is PyTorch?

Seamlessly transition between eager and graph modes with TorchScript, while expediting your production journey using TorchServe. The torch-distributed backend supports scalable distributed training, boosting performance optimization in both research and production contexts. A diverse array of tools and libraries enhances the PyTorch ecosystem, facilitating development across various domains, including computer vision and natural language processing. Furthermore, PyTorch's compatibility with major cloud platforms streamlines the development workflow and allows for effortless scaling. Users can easily select their preferences and run the installation command with minimal hassle. The stable version represents the latest thoroughly tested and approved iteration of PyTorch, generally suitable for a wide audience. For those desiring the latest features, a preview is available, showcasing the newest nightly builds of version 1.10, though these may lack full testing and support. It's important to ensure that all prerequisites are met, including having numpy installed, depending on your chosen package manager. Anaconda is strongly suggested as the preferred package manager, as it proficiently installs all required dependencies, guaranteeing a seamless installation experience for users. This all-encompassing strategy not only boosts productivity but also lays a solid groundwork for development, ultimately leading to more successful projects. Additionally, leveraging community support and documentation can further enhance your experience with PyTorch.

Media

Media

Media

Integrations Supported

AI Squared
AWS Elastic Fabric Adapter (EFA)
Amazon EC2 Trn1 Instances
Amazon S3 Express One Zone
Amazon SageMaker Model Training
Amazon SageMaker Studio Lab
GPUEater
Google Cloud Deep Learning VM Image
HPC-AI
Hugging Face Transformers
Humtap
IBM Distributed AI APIs
LTXV
NVIDIA AI Foundations
NVIDIA DeepStream SDK
Robust Intelligence
Thunder Compute
Vectice
Voyager SDK
trail

Integrations Supported

AI Squared
AWS Elastic Fabric Adapter (EFA)
Amazon EC2 Trn1 Instances
Amazon S3 Express One Zone
Amazon SageMaker Model Training
Amazon SageMaker Studio Lab
GPUEater
Google Cloud Deep Learning VM Image
HPC-AI
Hugging Face Transformers
Humtap
IBM Distributed AI APIs
LTXV
NVIDIA AI Foundations
NVIDIA DeepStream SDK
Robust Intelligence
Thunder Compute
Vectice
Voyager SDK
trail

Integrations Supported

AI Squared
AWS Elastic Fabric Adapter (EFA)
Amazon EC2 Trn1 Instances
Amazon S3 Express One Zone
Amazon SageMaker Model Training
Amazon SageMaker Studio Lab
GPUEater
Google Cloud Deep Learning VM Image
HPC-AI
Hugging Face Transformers
Humtap
IBM Distributed AI APIs
LTXV
NVIDIA AI Foundations
NVIDIA DeepStream SDK
Robust Intelligence
Thunder Compute
Vectice
Voyager SDK
trail

API Availability

Has API

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$50 per user per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

statsmodels

Company Website

www.statsmodels.org/stable/index.html

Company Facts

Organization Name

Statwing

Date Founded

2012

Company Location

United States

Company Website

www.statwing.com

Company Facts

Organization Name

PyTorch

Date Founded

2016

Company Website

pytorch.org

Categories and Features

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Popular Alternatives

Popular Alternatives

GraphPad InStat Reviews & Ratings

GraphPad InStat

GraphPad Software

Popular Alternatives

Core ML Reviews & Ratings

Core ML

Apple
Create ML Reviews & Ratings

Create ML

Apple
SUDAAN  Reviews & Ratings

SUDAAN

RTI International
DeepSpeed Reviews & Ratings

DeepSpeed

Microsoft