The result is based on ratio of number of commits from initial and final time ranges.
Initial time range – from 5 Jul, 2023 to 5 Oct, 2023
Final time range – from 5 Apr, 2024 to 5 Jul, 2024
Additions and deletions stats are not available for this repository due to GitHub API limitations.
It is basically a number of most active contributors responsible for 80% of contributions.
Bus factor tries to assess "What happens if a key member of the team is hit by a bus?". The more there are key members, the lower the risk.
The pytorch/pytorch repository has a bus factor of 119.
Low risk, knowledge is well distributed among the team members
Bus factor was measured on 14 Aug 2024
The pytorch/pytorch is the official GitHub repository for PyTorch, an open-source machine learning library based on the Torch library. It's mostly used for applications related to computer vision and natural language processing. PyTorch is known for high flexibility and speed, and it's used both in academia for fast prototyping and in production.
PyTorch provides two high-level features:
The repository consists of the source code and scripts for building and installing PyTorch, the documentation, and examples. It provides extensive instructions on how to install, how to use their issue tracker and how to contribute to the project.
It supports various types of transformations, such as image to tensor, numpy to tensor, and various other types as well.
At the time of talking, the repository is largely Python-based, but there are also components in C++, CUDA (an extension of C++), Shell, CMake, and other languages.
The PyTorch community is also very active, and the repository is frequently updated with new features and bug fixes, this is reflected in the amount of contributors, issues, pull requests, and stars that the repository has.
Contributor | Commits |
---|---|
3064 | |
2181 | |
1946 | |
1645 | |
1200 |