PyTorch
Machine learning framework with eager execution
2 members list PyTorch, up 2 in the last 12 weeks, data as of 25 October 2026
Used alongside PyTorch
Tools that members list in the same stack as PyTorch.
Members who list PyTorch in their Stack, by week.
Homebrew analytics installs: 4,591 installs (2026) to 3,172 installs (2026)
Imported from Homebrew analytics
PyPI downloads: 87,720,795 downloads (2026) to 60,246,837 downloads (2026)
Imported from PyPI downloads
Stack Overflow developer survey usage share: 1.68 % of respondents (2018) to 12.29 % of respondents (2024)
Imported from Stack Overflow developer survey
Wikipedia pageviews: 107 views (2017) to 10,084 views (2026)
Imported from Wikipedia pageviews
About PyTorch
PyTorch is an open source machine learning framework that provides tensors and dynamic neural networks with strong GPU acceleration. Developers use it to build and train deep learning models, with support for both eager execution and graph modes. The framework is designed to scale from research prototypes to production systems, offering distributed training capabilities and tools for computer vision, natural language processing, and other domains. PyTorch runs on Linux, Windows, and macOS, and is built using C, C++, CUDA, and Python.
The framework is developed by pytorch and released under the 3-clause BSD License. The PyTorch Foundation serves as the community home for the framework and its ecosystem, providing resources for members to collaborate on training, events, developer tooling, and academic research. Cloud platforms provide native support for PyTorch development and deployment.
Checked 23 October 2026.
@kanishkvardan