Brain imAgiNg Analysis iN Arcana (Banana): a collection of brain imaging analysis workflows implemented in the Arcana framework, which can be used to analyse analysis datasets stored in XNAT, BIDS or plain-directory repositories.
Installation
Banana and its dependencies can be installed from PyPI with:
$ pip3 install banana
Pipelines
Depending on which pipelines you need to run, you may need to install some or all of the following tools. Note that MRtrix3 and Dcm2niix are used for implicit format conversions so are typically required.
MRtrix3 (https://github.com/MRtrix3/mrtrix3)
Dcm2niix (https://github.com/rordenlab/dcm2niix)
Freesurfer (https://surfer.nmr.mgh.harvard.edu)
AFNI (https://afni.nimh.nih.gov)
1 maintainer
Metadata
1 maintainer
Release files for banana 0.5.1
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 |
|---|---|---|---|---|
| banana-0.5.1.tar.gz | 134.5 kB | Without provenance | Details for banana-0.5.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| banana-0.5.1-py3-none-any.whl | Python 3 | none | any | Details for banana-0.5.1-py3-none-any.whl |
Total release size: 384.5 kB
Release files / banana-0.5.1.tar.gz
| Download URL | banana-0.5.1.tar.gz |
|---|---|
| Size | 134.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
64f3b8a337732b9bad0a987f912004f0df7a465a48b591cdab11ffbfeb5eafff
|
|
BLAKE2b-256 checksum How to use checksums |
1044feff4de297b504c9309ee71a6a54acbecfda06c9d77271570f7ede58dc46
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/41.0.1 requests-toolbelt/0.8.0 tqdm/4.23.3 CPython/2.7.16
|
Release files / banana-0.5.1-py3-none-any.whl
| Download URL | banana-0.5.1-py3-none-any.whl |
|---|---|
| Size | 250.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1bb2cb4e8e79be9cc2a963c7542f6d34df6d88714b22695fa13fe751f6b92d6a
|
|
BLAKE2b-256 checksum How to use checksums |
7f94bc80fe0aff56b7ed3d90f4b7fa937311bbb5127bd00e3f7b2c3d3aa2261d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/41.0.1 requests-toolbelt/0.8.0 tqdm/4.23.3 CPython/2.7.16
|
Security for banana 0.5.1
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.
