NucDetect/setup.py at master · SilMon/NucDetect · GitHub

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import setuptools

with open("README.md", "r", encoding="UTF-8") as fh:
    long_description = fh.read()

setuptools.setup(
    name="NucDetect",
    version="1.11.0",
    description=("Module to quantify intranuclear foci on basis of "
                 "immunofluorescence images."),
    author="Romano Weiss",
    url="https://github.com/SilMon/NucDetect",
    long_description=long_description,
    long_description_content_type="text/markdown",
    # SPDX expression, replacing the deprecated "License ::" classifier that setuptools warns about
    # on every build. The classifier was the ONLY machine-readable statement that NucDetect is
    # GPLv3, so removing it without this would have left the distribution with no licence metadata
    # at all.
    license="GPL-3.0-or-later",
    classifiers=[
        "Development Status :: 5 - Production/Stable",
        "Intended Audience :: Developers",
        "Intended Audience :: Science/Research",
        # 3.13 as of 2026-09-21, corrected from 3.12 at RW's report that this number was outdated.
        # It is what the project is developed and verified on -- .venv is 3.13.2 and the whole
        # harness suite runs there. README.md carries the same claim in prose and moves with it;
        # a version-consistency check asserts the two agree, because this is the second pair of
        # version literals in this project with nothing keeping them in step.
        #
        # NOTE THIS DROPS THE 3.12 CLAIM rather than adding to it. Nothing tests 3.12, so listing
        # both would assert support nobody has verified. Add it back only alongside a run.
        "Programming Language :: Python :: 3.13"
    ],
    include_package_data=True,
    packages=setuptools.find_packages(),
    install_requires=[
        "tensorflow-cpu>=2.17.0",
        "scikit-image>=0.16.2",
        "scipy>=0.16.3",
        "numpy>=1.26.0",
        "matplotlib>=3.1.3",
        "seaborn>=0.13.2",
        "statannotations>=0.7.2",
        "pyqt5>=5.14.1",
        "numba>=0.48.0",
        "pillow>=11.13.0",
        "qtawesome==1.3.1",
        "piexif>=1.1.3",
        "pyqtgraph>=0.14.0",
        "pandas>=2.1.4",
        "imagecodecs>=2026.1.1",
        "openpyxl>=3.1.5",
        "PyWavelets>=1.9.0",
    ]
)