This release is a pre-release and may not be stable for production use.
Behavioral Imaging Toolbox
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.
Metadata
Release files for bitbox 2025.10.dev2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| bitbox-2025.10.dev2.tar.gz | 82.7 kB | Without provenance | Details for bitbox-2025.10.dev2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| bitbox-2025.10.dev2-py3-none-any.whl | Python 3 | none | any | Details for bitbox-2025.10.dev2-py3-none-any.whl |
Total release size: 170.0 kB
Release files / bitbox-2025.10.dev2.tar.gz
| Download URL | bitbox-2025.10.dev2.tar.gz |
|---|---|
| Size | 82.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1bed05a72ec69b1159eb25f0fb475384388aa0004280d9951674cf1a201dded8
|
|
BLAKE2b-256 checksum How to use checksums |
81b10ca51a87e2d3cf7d3adf97f6bcc67968facbe5e658e6785c952714284ca9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.17
|
Release files / bitbox-2025.10.dev2-py3-none-any.whl
| Download URL | bitbox-2025.10.dev2-py3-none-any.whl |
|---|---|
| Size | 87.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4bc4a37a52b4b0a3063151f9a9e4ac67fa508f48fd3b83908bccd2178d4b9b85
|
|
BLAKE2b-256 checksum How to use checksums |
b12c43acaa71d6d13b90aab77a605049ba4a0c1ce663d69680b6c953d37a3fca
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.17
|
Security for bitbox 2025.10.dev2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.