Nipoppy
Nipoppy is a lightweight framework for standardized organization and processing of neuroimaging-clinical datasets. Its goal is to help users adopt the FAIR principles and improve the reproducibility of studies.
The framework includes three components:
-
A protocol for data organization, curation and processing, with steps that include the following:
- Organization of raw data, including conversion of raw DICOMs (or NIfTIs) to BIDS
- Processing of imaging data with existing or custom pipelines
- Tracking of data availability and processing status
- Extraction of imaging-derived phenotypes (IDPs) for downstream statistical modelling and analysis
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A specification for dataset organization that extends the Brain Imaging Data Structure (BIDS) standard by providing additional guidelines for tabular (e.g., phenotypic) data and imaging derivatives.
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A command-line interface and Python package that provide user-friendly tools for applying the framework. The tools build upon existing technologies such as the Apptainer container platform and the Boutiques descriptor framework. Several existing containerized pipelines are supported out-of-the-box, and new pipelines can be added easily by the user.
- We have also developed a web dashboard for interactive visualizations of imaging and phenotypic data availability.
Release files for nipoppy 0.3.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nipoppy-0.3.3.tar.gz | 1.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nipoppy-0.3.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.6 MB
Release files / nipoppy-0.3.3.tar.gz
| Download URL | nipoppy-0.3.3.tar.gz |
|---|---|
| Size | 1.5 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Transparency logRelease files / nipoppy-0.3.3-py3-none-any.whl
| Download URL | nipoppy-0.3.3-py3-none-any.whl |
|---|---|
| Size | 133.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
fdf45da0c9bc9a48688c4b9229952e49b654972456caa0b1a9606c7171a71f9c
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
Provenance
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PyPI Publish Attestation
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