The result is based on ratio of number of commits and code additions from initial and final time ranges.
Initial time range – from 14 Aug, 2023 to 14 Nov, 2023
Final time range – from 15 May, 2024 to 14 Aug, 2024
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 lightning/bolts repository has a bus factor of 11.
Low risk, knowledge is well distributed among the team members
Bus factor was measured on 14 Aug 2024
The PyTorch Lightning Bolts repository is an official collection of PyTorch Lightning tasks, models, and community contributions. It's a growing codebase of templates that can be used for many machine learning applications including image classification, object detection, segmentation, natural language processing, and generative adversarial networks.
It also includes pre-trained models and implementations of state-of-the-art (SOTA) models. These templates allow users to leverage the simplicity of PyTorch Lightning. Furthermore, the model definitions are clear, organized, and decoupled from the PyTorch Lightning Trainer system.
Also, this repository encourages the user to contribute their own models and code which enhance its collaborative nature. The documentation is quite comprehensive as well, making it a helpful resource for those who want to extend their knowledge on PyTorch Lightning.
Contributor | Commits |
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344 | |
84 | |
64 | |
54 | |
51 |