We are happy to announce the release of the free/open-source pythermalcomfort version 3.0, a comprehensive toolkit for calculating thermal comfort indices, heat/cold stress metrics, and thermophysiological responses in Python.

Key Updates in pythermalcomfort v3.0:

1. Multi-node models:Pythermalcomfort now includes JOS3 a multi-node model to estimate physiological variables (e.g., skin temperature, core temperature, and skin wettedness)
2. Structured Results with Dataclasses: Functions now return dataclass instances, streamlining the process of accessing and organizing results.
3. Updated Function Names and Organization
4. Array as inputs: All functions now accept arrays as inputs, facilitating faster batch processing of multiple inputs.
5. Enhanced Documentation and Testing. The documentation now offers more examples and detailed model descriptions. Additionally, input validation has been added to ensure parameters fall within applicable model limits.
6. New Features:

• Surveys to assess thermal comfort have been added.
• A detailed section on clothing insulation is now included.

For more information please visit: https://federicotartarini.github.io/blog/2025/01/30/pythermalcomfort-3