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 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.

What is AutoDiscovery?

AutoDiscovery is a sophisticated software solution crafted for automated exploratory data analysis, enabling biomedical researchers to uncover complex relationships hidden within their experimental and clinical trial data. This innovative tool autonomously identifies the appropriate statistical tests required to assess the connections between different variable combinations in each data subset. AutoDiscovery effectively tackles prevalent challenges in biomedical research, such as discerning cause-effect relationships, managing false discovery rates, addressing small sample sizes, organizing treatment groups, and ensuring result traceability. Specifically designed for Principal Investigators, who often face time constraints and may lack extensive statistical knowledge, it allows them to focus on conducting significant and productive research endeavors. Additionally, this software streamlines research workflows, promoting faster insights and breakthroughs in the biomedical domain while empowering researchers to make data-driven decisions with confidence. By leveraging AutoDiscovery, researchers can enhance the overall quality of their findings and contribute more effectively to advancements in health science.

Media

Media

Media

Integrations Supported

AI Squared
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Amazon SageMaker Unified Studio
Anaconda
Collimator
Flyte
Google Cloud Deep Learning VM Image
Gradient
Graphcore
Guild AI
Keepsake
NodeShift
OpenVINO
Qualcomm Cloud AI SDK
Sesterce
Vectice
io.net
zymtrace

Integrations Supported

AI Squared
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Amazon SageMaker Unified Studio
Anaconda
Collimator
Flyte
Google Cloud Deep Learning VM Image
Gradient
Graphcore
Guild AI
Keepsake
NodeShift
OpenVINO
Qualcomm Cloud AI SDK
Sesterce
Vectice
io.net
zymtrace

Integrations Supported

AI Squared
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Amazon SageMaker Unified Studio
Anaconda
Collimator
Flyte
Google Cloud Deep Learning VM Image
Gradient
Graphcore
Guild AI
Keepsake
NodeShift
OpenVINO
Qualcomm Cloud AI SDK
Sesterce
Vectice
io.net
zymtrace

API Availability

Has API

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

€1.795 per year
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

PyTorch

Date Founded

2016

Company Website

pytorch.org

Company Facts

Organization Name

Butler Scientifics

Date Founded

2014

Company Location

Spain

Company Website

www.butlerscientifics.com

Categories and Features

Categories and Features

Machine Learning

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

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Popular Alternatives

Popular Alternatives

Popular Alternatives

CygNet Reviews & Ratings

CygNet

NMSWorks Software
Core ML Reviews & Ratings

Core ML

Apple
Infrared360 Reviews & Ratings

Infrared360

Avada Software
Create ML Reviews & Ratings

Create ML

Apple
DeepSpeed Reviews & Ratings

DeepSpeed

Microsoft