Källkodspaket: dipy (1.6.0-1)
Länkar för dipy
Debianresurser:
Ansvariga:
Externa resurser:
Följande binärpaket byggs från detta källkodspaket:
- python-dipy-doc
- Python library for the analysis of diffusion MRI datasets -- documentation
- python3-dipy
- Python library for the analysis of diffusion MRI datasets
- python3-dipy-lib
- Python library for the analysis of diffusion MRI datasets -- Python3 extensions
Andra paket besläktade med dipy
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- arkitekturoberoende bygg-beroende
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- adep:
debhelper-compat
(= 13)
- Paketet inte tillgängligt
-
- adep:
dh-python
- Debian helper tools for packaging Python libraries and applications
-
- adep:
libgomp1
- GCC OpenMP (GOMP) support library
-
- adep:
cython3
- C-Extensions for Python 3
-
- adep:
python3-all-dev
- package depending on all supported Python 3 development packages
-
- adep:
python3-setuptools
- Python3 Distutils Enhancements
-
- adep:
python3-numpy
- Fast array facility to the Python 3 language
-
- adep:
python3-scipy
- scientific tools for Python 3
-
- adep:
python3-h5py
- general-purpose Python interface to hdf5
-
- adep:
python3-matplotlib
- Python based plotting system in a style similar to Matlab (Python 3)
-
- adep:
python3-nibabel
(>= 3.0.0)
- Python3 bindings to various neuroimaging data formats
-
- adep:
python3-pil.imagetk
- Python Imaging Library - ImageTk Module (Python3)
-
- adep:
python3-pytest
- Simple, powerful testing in Python3
-
- adep:
python3-pandas
- data structures for "relational" or "labeled" data
-
- adep:
python3-tables
- hierarchical database for Python3 based on HDF5
-
- adep:
python3-tk
- Tkinter - Writing Tk applications with Python 3.x
-
- adep:
python3-sklearn
- Python modules for machine learning and data mining - Python 3
-
- adep:
python3-tqdm
- fast, extensible progress bar for Python 3 and CLI tool
-
- adep:
xvfb
- Virtual Framebuffer 'fake' X server
-
- adep:
xauth
- X authentication utility
-
- idep:
python3-sphinx
- documentation generator for Python projects
-
- idep:
python3-numpydoc
- Sphinx extension to support docstrings in Numpy format -- Python3
