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Source: python-pyqtgraph
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Gianfranco Costamagna <locutusofborg@debian.org>
Section: python
Priority: optional
Standards-Version: 4.7.0
Build-Depends: debhelper-compat (= 13),
dh-python,
libpyside2-py3,
libpyside6-py3,
python3-all,
python3-doc,
python3-numpy,
python-numpy-doc,
python3-opengl,
python3-pydata-sphinx-theme (>= 0.15.4~),
python3-pyqt5.qtopengl,
python3-setuptools,
python3-sphinx,
python3-sphinx-autodoc-typehints,
python3-sphinx-design,
python3-sphinx-favicon,
python3-sphinx-qt-documentation,
python3-sphinx-rtd-theme,
python3-sphinxcontrib.images,
python3-sphinxext-rediraffe,
pyqt5-dev-tools,
pyqt6-dev-tools,
qtbase5-dev-tools,
qt6-base-dev-tools,
Rules-Requires-Root: no
Homepage: http://luke.campagnola.me/code/pyqtgraph
Vcs-Git: https://salsa.debian.org/science-team/python-pyqtgraph.git
Vcs-Browser: https://salsa.debian.org/science-team/python-pyqtgraph
Package: python3-pyqtgraph
Architecture: all
Depends: python3-pyqt5 | libpyside2-py3 | python3-pyqt6 | libpyside6-py3,
python3-scipy,
pyqt5-dev-tools,
pyqt6-dev-tools,
qtbase5-dev-tools,
qt6-base-dev-tools,
${misc:Depends},
${python3:Depends}
Recommends: python3-matplotlib, python3-opengl, python3-pyqt5.qtopengl
# python3-pyqt6.qtopengl
Suggests: python-pyqtgraph-doc
Description: Scientific Graphics and GUI Library for Python 3
PyQtGraph is a pure-python graphics and GUI library built on PyQt4 and numpy.
It is intended for use in mathematics / scientific / engineering applications.
Despite being written entirely in Python, the library is very fast due to its
heavy leverage of numpy for number crunching and Qt's GraphicsView framework
for fast display.
.
This is the Python 3 version of the package.
Package: python-pyqtgraph-doc
Architecture: all
Section: doc
Depends: ${misc:Depends}, ${sphinxdoc:Depends}
Multi-Arch: foreign
Description: Scientific Graphics and GUI Library for Python (common documentation)
PyQtGraph is a pure-python graphics and GUI library built on PyQt4 and numpy.
It is intended for use in mathematics / scientific / engineering applications.
Despite being written entirely in Python, the library is very fast due to its
heavy leverage of numpy for number crunching and Qt's GraphicsView framework
for fast display.
.
This is the common documentation package.
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