PyTorch vs. statsmodels Comparison


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About Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.	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 Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment	Audience Users and anyone in search of a solution to calculate the estimation of many different statistical models
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial	Pricing Free Free Version Free Trial
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 Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information PyTorch Founded: 2016 pytorch.org	Company Information statsmodels www.statsmodels.org/stable/index.html
Alternatives TensorFlow	Alternatives Bokeh
Core ML Apple	broot
Create ML Apple	imageio
DeepSpeed Microsoft	Quadratic
AWS Neuron Amazon Web Services View All	NumPy View All
Categories AI Development AI/ML Model Training Machine Learning Neural Network	Categories Component Libraries

Integrations 3LC AWS EC2 Trn3 Instances AWS Marketplace CodeQwen Comet LLM Daft Domino Enterprise AI Platform Fuzzball Google Cloud Platform Graphcore Guild AI Intel Open Edge Platform LiteRT Microsoft Azure Python Runpod Runyour AI Thunder Compute Yamak.ai Zepl Show More Integrations View All 148 Integrations	Integrations 3LC AWS EC2 Trn3 Instances AWS Marketplace CodeQwen Comet LLM Daft Domino Enterprise AI Platform Fuzzball Google Cloud Platform Graphcore Guild AI Intel Open Edge Platform LiteRT Microsoft Azure Python Runpod Runyour AI Thunder Compute Yamak.ai Zepl Show More Integrations View All 2 Integrations
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