brukerapi-python
February 2, 2026 ยท View on GitHub
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A Python package providing I/O interface for Bruker data sets.
tl;dr
Install using pip:
.. code-block:: shell
pip install brukerapi
Load any data set:
.. code-block:: python
from brukerapi.dataset import Dataset
dataset = Dataset('{path}/2dseq') # create data set, works for fid, 2dseq, rawdata.x, ser
dataset.data # access data array
dataset.VisuCoreSize # get a value of a single parameter
Load an entire study:
.. code-block:: python
from brukerapi.folders import Study
study = Study('{path_to_study_folder}')
dataset = study.get_dataset(exp_id='1', proc_id='1')
# get_dataset returns an empty dataset
# in order to load data into the data set, you can either use the context manager:
with dataset as d:
d.data # access data array
d.VisuCoreSize # get a value of a parameter
# or the load function
dataset.load()
dataset.data # access data array
dataset.VisuCoreSize # get a value of a single parameter
Load a parametric file:
.. code-block:: python
from brukerapi.jcampdx import JCAMPDX
parameters = JCAMPDX('path_to_scan/method')
TR = data.params["PVM_RepetitionTime"].value # This way TR = data.get_value("PVM_RepetitionTime") # Or this way
Features
- I/O interface for fid data sets
- I/O interface for 2dseq data sets
- I/O interface for ser data sets
- I/O interface for rawdata data sets
- Random access for fid and 2dseq data sets
- Split operation implemented over 2dseq data sets
- Filter operation implemented over Bruker folders (allowing you to work with a subset of your study only)
Examples
- How to
read <examples/read_fid.ipynb>_ a Bruker fid, 2dseq, rawdata, or ser file - How to
split slice packages <examples/split_sp_demo.ipynb>_ of a 2dseq data set - How to
split FG_ECHO <examples/split_fg_echo_demo.ipynb>_ of a 2dseq data set - How to
split FG_ISA <examples/examples/split_fg_isa_demo.ipynb>_ of a 2dseq data set
Documentation
Online documentation <https://bruker-api.readthedocs.io/en/latest/>_ of the API is available at Read The Docs.
Install
Using pip:
.. code-block:: shell
pip install brukerapi
From source:
.. code-block:: shell
git clone https://github.com/isi-nmr/brukerapi-python.git
cd brukerapi-python
python setup.py build
python setup.py install
Testing
To ensure reliability, every commit to this repository is tested against the following, publicly available data sets:
BrukerAPI test data set (Bruker ParaVision v5.1) <https://doi.org/10.5281/zenodo.3899268>_BrukerAPI test data set (Bruker ParaVision v6.0.1) <https://doi.org/10.5281/zenodo.3894651>_bruker2nifti_qa data set <https://gitlab.com/naveau/bruker2nifti_qa>_
Compatibility
The API was tested using various data sets obtained by ParaVision 5.1, 6.0.1 and 360. It it is compatible with the following data set types from individual ParaVision versions.
ParaVision v5.1 """"""""""""""" Compatible data set types:
- fid
- 2dseq
- rawdata.job0
- rawdata.Navigator
Compatible pulse sequences for fid data sets:
- FLASH.ppg
- MGE.ppg
- MSME.ppg
- RARE.ppg
- FAIR_RARE.ppg
- RAREVTR.ppg
- RAREst.ppg
- MDEFT.ppg
- FISP.ppg
- FLOWMAP.ppg
- DtiStandard.ppg
- EPI.ppg
- FAIR_EPI.ppg
- DtiEpi.ppg
- T1_EPI.ppg
- T2_EPI.ppg
- T2S_EPI.ppg
- SPIRAL.ppg
- DtiSpiral.ppg
- UTE.ppg
- UTE3D.ppg
- ZTE.ppg
- CSI.ppg
- FieldMap.ppg
- NSPECT.ppg
- PRESS.ppg
- STEAM.ppg
- igFLASH.ppg
ParaVision v6.0.1 and v7.0.0 """"""""""""""""""""""""""""""" Compatible data set types:
- fid
- 2dseq
- rawdata.job0
- rawdata.Navigator
Compatible pulse sequences for fid data sets:
- FLASH.ppg,
- FLASHAngio.ppg
- IgFLASH.ppg
- MGE.ppg
- MSME.ppg
- RARE.ppg
- FAIR_RARE.ppg
- RAREVTR.ppg
- RAREst.ppg
- MDEFT.ppg
- FISP.ppg
- FLOWMAP.ppg
- DtiStandard.ppg
- EPI.ppg
- FAIR_EPI.ppg
- CASL_EPI.ppg
- DtiEpi.ppg
- T1_EPI.ppg
- T2_EPI.ppg
- T2S_EPI.ppg
- SPIRAL.ppg
- DtiSpiral.ppg
- UTE.ppg
- UTE3D.ppg
- ZTE.ppg
- CSI.ppg
- FieldMap.ppg
- SINGLEPULSE.ppg
- NSPECT.ppg
- EPSI.ppg
- PRESS.ppg
- STEAM.ppg
- ISIS.ppg
- CPMG.ppg
- RfProfile.ppg
ParaVision 360 v1.1 v3.0-v3.7 """"""""""""""""""""""""""""""""" Reading rawdata is supported only in a basic form, no reshaping into k-space is supported at the moment. Compatible data set types:
- 2dseq
- rawdata.job0
- rawdata.Navigator