PyTorch vs. TorchMetrics 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 TorchMetrics is a collection of 90+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. A standardized interface to increase reproducibility. It reduces boilerplate. distributed-training compatible. It has been rigorously tested. Automatic accumulation over batches. Automatic synchronization between multiple devices. You can use TorchMetrics in any PyTorch model, or within PyTorch Lightning to enjoy additional benefits. Your data will always be placed on the same device as your metrics. You can log Metric objects directly in Lightning to reduce even more boilerplate. Similar to torch.nn, most metrics have both a class-based and a functional version. The functional versions implement the basic operations required for computing each metric. They are simple python functions that as input take torch.tensors and return the corresponding metric as a torch.tensor. Nearly all functional metrics have a corresponding class-based metric.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Supported iPad Supported Android Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment	Audience Anyone seeking a solution providing several PyTorch metrics implementations to create custom metrics
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 Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not 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 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 PyTorch Founded: 2016 pytorch.org	Company Information TorchMetrics United States torchmetrics.readthedocs.io/en/stable/
Alternatives TensorFlow	Alternatives PyTorch
Core ML Apple	ExecuTorch
Create ML Apple	AWS Neuron Amazon Web Services
DeepSpeed Microsoft	Keepsake Replicate
AWS Neuron Amazon Web Services View All	Google Cloud Deep Learning VM Image Google View All
Categories AI Development Supported AI/ML Model Training Supported Machine Learning Supported Neural Network Supported	Categories Application Development Supported

Integrations Lightning AI Supported AI Squared Supported AWS Elastic Fabric Adapter (EFA) Supported Amazon SageMaker Studio Supported Azure Marketplace Supported Coiled Supported Dataoorts GPU Cloud Supported Deeplake Supported Domino Enterprise AI Platform Supported Flyte Supported Giskard Supported Google Cloud Platform Supported Graphcore Supported MLReef Supported NodeShift Supported PostgresML Supported PyTorch Not Supported Voyager SDK Supported Yandex DataSphere Supported Zepl Supported Show More Integrations View All 150 Integrations	Integrations Lightning AI Supported AI Squared Not Supported AWS Elastic Fabric Adapter (EFA) Not Supported Amazon SageMaker Studio Not Supported Azure Marketplace Not Supported Coiled Not Supported Dataoorts GPU Cloud Not Supported Deeplake Not Supported Domino Enterprise AI Platform Not Supported Flyte Not Supported Giskard Not Supported Google Cloud Platform Not Supported Graphcore Not Supported MLReef Not Supported NodeShift Not Supported PostgresML Not Supported PyTorch Supported Voyager SDK Not Supported Yandex DataSphere Not Supported Zepl Not Supported Show More Integrations View All 2 Integrations
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