Skip to main content

Neuroimaging Python wrappers

Project description

⚠️ Important Notice: This is a very early release of niwrap. We do not recommend using niwrap in 'production' at this stage unless you are willing to debug, fix, and contribute descriptors.

niwrap

🧠 Python wrappers for neuroimaging command-line tools

Build stability-stable MIT License pages

🚀 Quick Start

from niwrap import fsl

# Brain extraction using FSL's BET
bet_output = fsl.bet(
    infile="input_image.nii.gz",
)

📦 Installation

Install the stable version from PyPI:

pip install niwrap

Or install the development version:

pip install "git+https://github.com/styx-api/niwrap-python.git"

🧰 Supported Tools

Package Status Version API Coverage
AFNI Experimental 24.2.06 565/611 (92.5%)
ANTs Experimental 2.5.3 71/113 (62.8%)
Connectome Workbench Experimental 1.5.0 202/202 (100% 🎉)
Convert3D Experimental 1.1.0 2/2 (100% 🎉)
FSL Experimental 6.0.5 239/310 (77.1%)
FastSurfer Experimental 2.3.3 1/1 (100% 🎉)
FreeSurfer Experimental 7.4.1 707/800 (88.4%)
Greedy Experimental 1.0.1 1/1 (100% 🎉)
MRTrix3 Well tested 3.0.4 115/121 (95.0%)
MRTrix3Tissue Well tested 5.2.8 1/1 (100% 🎉)
NiftyReg Experimental 1.4.0 7/7 (100% 🎉)
dcm2niix Experimental 1.0.20240202 1/1 (100% 🎉)

🛠 Usage Examples

Usage examples and tutorials can be found in the Styx book.

🔧 Development

All code in this package is automatically generated by Styx.

📚 Documentation

For full documentation, visit our docs site.

🤝 Contributing

We welcome contributions! Please see our Contribution Guide for more details.

📄 License

The niwrap Python package, including all wrapper code, is licensed under the MIT License. See the LICENSE file for more details.

⚠️ Important Notice: While niwrap provides convenient Python wrappers, it does not include or distribute the actual neuroimaging tools. Each tool wrapped by niwrap (e.g., FSL, AFNI, ANTs) is subject to its own license. Users of niwrap must ensure they comply with the licenses of the underlying tools they use. The MIT License of niwrap applies only to the wrapper code, not to the tools themselves.

🙋‍♀️ Getting Help

The Styx book aims to be a starting point for new users.

If you encounter any problems or have any questions, please open an issue on our GitHub repository.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

niwrap-0.5.1.tar.gz (5.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

niwrap-0.5.1-py3-none-any.whl (3.2 kB view details)

Uploaded Python 3

File details

Details for the file niwrap-0.5.1.tar.gz.

File metadata

  • Download URL: niwrap-0.5.1.tar.gz
  • Upload date:
  • Size: 5.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for niwrap-0.5.1.tar.gz
Algorithm Hash digest
SHA256 87e7894e1afc48f9b040d00f52c7c322ab5a1801c9de4bfeac0e416f6b478740
MD5 23f3a67f6ba138b49979139071a9dce0
BLAKE2b-256 0a6897f19082486074f52997b5d2f76201ad3294ef2b7990cc53699311f09492

See more details on using hashes here.

File details

Details for the file niwrap-0.5.1-py3-none-any.whl.

File metadata

  • Download URL: niwrap-0.5.1-py3-none-any.whl
  • Upload date:
  • Size: 3.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for niwrap-0.5.1-py3-none-any.whl
Algorithm Hash digest
SHA256 35e06000673a93e7d89cc017416481e93f8aacb1a3c1ae71d59dd845c9953c40
MD5 14cb6636976a7b2d6d69545c3f0294e6
BLAKE2b-256 456e959dc221bec61580a55b81773ae51a5678c2b0ecbcd9618cf82536dbb680

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page