nibabel-stubs
Type stubs for nibabel, a Python package for reading and writing neuroimaging file formats.
Installation
pip install nibabel-stubs
Usage
Once installed, type checkers like mypy, pyright, and IDEs like PyCharm and VS Code will automatically use these type stubs when you use nibabel in your code.
Example:
import nibabel as nib
# Type checkers will now understand nibabel's API
img = nib.load("example.nii.gz")
data = img.get_fdata()
affine = img.affine
header = img.header
What's Included
This package provides type hints for:
Nifti1ImageandNifti1Headerclassesload()andsave()functionsaffinesmodule utilitiesorientationsmodule utilities- Common nibabel operations with proper numpy array typing
Requirements
- Python >= 3.7
- numpy (for numpy.typing support)
Development
To contribute or modify these stubs:
- Clone the repository
- Edit
nibabel-stubs/__init__.pyi - Test with your type checker:
mypy your_test_file.py
License
See LICENSE.md for details.
Compatibility
These stubs are designed to work with nibabel's public API. If you find any issues or missing definitions, please open an issue or submit a pull request.
Metadata
Release files for nibabel-stubs 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nibabel_stubs-0.1.0.tar.gz | 3.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nibabel_stubs-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.5 kB
Release files / nibabel_stubs-0.1.0.tar.gz
| Download URL | nibabel_stubs-0.1.0.tar.gz |
|---|---|
| Size | 3.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
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Release files / nibabel_stubs-0.1.0-py3-none-any.whl
| Download URL | nibabel_stubs-0.1.0-py3-none-any.whl |
|---|---|
| Size | 4.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.6
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