Bitbox is a free and open-source Python library including a comprehensive set of tools for the computational analysis of nonverbal human behavior. The provided tools enable analysis of face, head, and body movements, expressions, and actions from videos and images. Included algorithms and metrics have been validated using clinically vetted datasets and published extensively, therefore, can be reliably used by behavioral, social, and medical scientists in their human subject research. As we closely follow state-of-the-art in computer vision and machine learning, provided methodologies can also be relied upon by computer vision researchers and other engineers as well.

Please refer to our Documentation for detailed instructions.

If you use Bitbox, please cite:

@article{Sariyanidi2025Bitbox,
  author        = {Sariyanidi, Evangelos and Nair, Gokul and Yankowitz, Lisa and Zampella, Casey J. and Pargi, Mohan Kashyap and Manakiwala, Aashvi and McNealis, Maya and Herrington, John D. and Cohn, Jeffrey and Schultz, Robert T. and Tunc, Birkan},
  title         = {Bitbox: Behavioral Imaging Toolbox for Computational Analysis of Behavior from Videos},
  journal       = {arXiv},
  year          = {2025},
  eprint        = {2512.17655},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  doi           = {10.48550/arXiv.2512.17655},
  url           = {https://arxiv.org/abs/2512.17655},
  note          = {arXiv:2512.17655}
}