HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept
{
"count": 51929,
"next": "https://ports.macports.org/api/v1/ports/?format=api&ordering=-updated_at&page=824",
"previous": "https://ports.macports.org/api/v1/ports/?format=api&ordering=-updated_at&page=822",
"results": [
{
"name": "py38-typer",
"portdir": "python/py-typer",
"version": "0.12.3",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/tiangolo/typer",
"description": "Typer, build great CLIs. Easy to code. Based on Python type hints.",
"long_description": "Typer, build great CLIs. Easy to code. Based on Python type hints.",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py38-build",
"py38-pdm-backend",
"clang-16",
"py38-installer"
]
},
{
"type": "lib",
"ports": [
"python38"
]
},
{
"type": "run",
"ports": [
"py38-typing_extensions",
"py38-shellingham",
"py38-rich",
"py38-click"
]
},
{
"type": "test",
"ports": [
"py38-mypy",
"py38-pytest",
"py38-pytest-sugar",
"py38-pytest-xdist"
]
}
],
"depends_on": [
{
"type": "build",
"ports": [
"py38-spaCy-models"
]
},
{
"type": "lib",
"ports": [
"py38-npe2",
"py38-spaCy",
"py38-rstcheck"
]
}
]
},
{
"name": "py37-typer",
"portdir": "python/py-typer",
"version": "0.6.1",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/tiangolo/typer",
"description": "Typer, build great CLIs. Easy to code. Based on Python type hints.",
"long_description": "Typer, build great CLIs. Easy to code. Based on Python type hints.",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-flit_core",
"py37-installer",
"clang-14",
"py37-build"
]
},
{
"type": "lib",
"ports": [
"python37"
]
},
{
"type": "run",
"ports": [
"py37-shellingham",
"py37-colorama",
"py37-click"
]
},
{
"type": "test",
"ports": [
"py37-black",
"py37-isort",
"py37-mypy",
"py37-pytest",
"py37-pytest-sugar",
"py37-pytest-xdist"
]
}
],
"depends_on": [
{
"type": "build",
"ports": [
"py37-spaCy-models"
]
},
{
"type": "lib",
"ports": [
"py37-npe2",
"py37-rstcheck"
]
}
]
},
{
"name": "py39-Pillow",
"portdir": "python/py-Pillow",
"version": "9.5.0",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/python-imaging/Pillow",
"description": "Python Imaging Library (fork)",
"long_description": "Python Imaging Library (fork)",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [
"raqm",
"x11",
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"py39-setuptools",
"py39-wheel",
"py39-build",
"py39-installer",
"clang-18"
]
},
{
"type": "lib",
"ports": [
"webp",
"python39",
"zlib",
"py39-olefile",
"py39-tkinter",
"freetype",
"lcms2",
"libjpeg-turbo",
"openjpeg",
"tiff"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py39-sphinx-gallery",
"py39-pytesseract",
"py39-opengl",
"py39-contextily",
"py39-asciimatics",
"py39-matplotlib",
"py39-xhtml2pdf",
"py39-torchvision",
"py39-magenta",
"py39-pikepdf",
"py39-pyvo",
"py39-barcode",
"py39-imageio",
"py39-fabio",
"py39-pptx",
"py39-blockdiag",
"py39-reportlab",
"py39-cairosvg",
"py39-img2pdf",
"py39-openslide",
"py39-astlib",
"py39-bokeh",
"py39-gmic",
"py39-cartopy"
]
},
{
"type": "run",
"ports": [
"py39-aplpy",
"py39-gpilab-framework",
"py39-wordcloud",
"py39-tensor2tensor",
"py39-magenta",
"py39-zbar",
"py39-kraken",
"py39-gradio",
"py39-luma.core",
"py39-wxmplot",
"py39-xraylarch",
"py39-transformers",
"py39-wxpython-4.0",
"py39-scikit-image",
"py39-imagehash"
]
},
{
"type": "test",
"ports": [
"py39-scrapy",
"py39-Faker",
"py39-svgelements"
]
}
]
},
{
"name": "py38-Pillow",
"portdir": "python/py-Pillow",
"version": "9.5.0",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/python-imaging/Pillow",
"description": "Python Imaging Library (fork)",
"long_description": "Python Imaging Library (fork)",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [
"raqm",
"x11",
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"py38-setuptools",
"clang-17"
]
},
{
"type": "lib",
"ports": [
"libjpeg-turbo",
"openjpeg",
"tiff",
"webp",
"zlib",
"freetype",
"py38-olefile",
"py38-tkinter",
"python38",
"lcms2"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py38-magenta",
"py38-cairosvg",
"py38-xhtml2pdf",
"py38-matplotlib",
"py38-asciimatics",
"py38-pytesseract",
"py38-blockdiag",
"py38-gmic",
"py38-pptx",
"py38-reportlab",
"py38-fabio",
"py38-bokeh",
"py38-cartopy",
"py38-contextily",
"py38-pikepdf",
"py38-openslide",
"py38-imageio",
"py38-astlib",
"py38-opengl",
"py38-torchvision"
]
},
{
"type": "run",
"ports": [
"py38-xraylarch",
"py38-wordcloud",
"py38-wxpython-4.0",
"py38-gpilab-framework",
"py38-wxmplot",
"py38-kraken",
"py38-gradio",
"py38-magenta",
"py38-transformers",
"py38-zbar",
"py38-aplpy",
"py38-tensor2tensor",
"py38-luma.core",
"py38-scikit-image",
"py38-Faker",
"py38-imagehash"
]
},
{
"type": "test",
"ports": [
"py38-scrapy"
]
}
]
},
{
"name": "py35-Pillow",
"portdir": "python/py-Pillow",
"version": "6.2.2",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/python-imaging/Pillow",
"description": "Python Imaging Library (fork)",
"long_description": "Python Imaging Library (fork)",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"py35-setuptools",
"clang-15"
]
},
{
"type": "lib",
"ports": [
"libjpeg-turbo",
"openjpeg",
"tiff",
"webp",
"zlib",
"freetype",
"py35-olefile",
"py35-tkinter",
"python35",
"lcms2"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py35-opengl",
"py35-reportlab",
"py35-bokeh",
"py35-openslide",
"py35-imageio",
"py35-astlib",
"py35-blockdiag",
"py35-cartopy",
"py35-mahotas"
]
},
{
"type": "run",
"ports": [
"py35-aplpy",
"py35-kivy",
"py35-wxpython-4.0",
"py35-scikit-image"
]
}
]
},
{
"name": "py36-Pillow",
"portdir": "python/py-Pillow",
"version": "8.4.0",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/python-imaging/Pillow",
"description": "Python Imaging Library (fork)",
"long_description": "Python Imaging Library (fork)",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [
"x11",
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"py36-setuptools",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"libjpeg-turbo",
"openjpeg",
"tiff",
"webp",
"zlib",
"freetype",
"py36-olefile",
"py36-tkinter",
"python36",
"lcms2"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py36-opengl",
"py36-pptx",
"py36-bokeh",
"py36-openslide",
"py36-matplotlib",
"py36-imageio",
"py36-reportlab",
"py36-astlib",
"py36-blockdiag",
"py36-mahotas",
"py36-cartopy"
]
},
{
"type": "run",
"ports": [
"py36-aplpy",
"py36-wxpython-4.0",
"py36-kivy",
"py36-gpilab-framework",
"py36-scikit-image"
]
}
]
},
{
"name": "py37-Pillow",
"portdir": "python/py-Pillow",
"version": "9.5.0",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/python-imaging/Pillow",
"description": "Python Imaging Library (fork)",
"long_description": "Python Imaging Library (fork)",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [
"raqm",
"x11",
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"py37-setuptools",
"clang-17"
]
},
{
"type": "lib",
"ports": [
"libjpeg-turbo",
"openjpeg",
"tiff",
"webp",
"zlib",
"freetype",
"py37-olefile",
"py37-tkinter",
"python37",
"lcms2"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-opengl",
"py37-reportlab",
"py37-mahotas",
"py37-torchvision",
"py37-contextily",
"py37-blockdiag",
"py37-openslide",
"py37-cartopy",
"py37-magenta",
"py37-cairosvg",
"py37-bokeh",
"py37-matplotlib",
"py37-pptx",
"py37-imageio",
"py37-gmic",
"py37-pikepdf",
"py37-pytesseract",
"py37-xhtml2pdf",
"py37-astlib"
]
},
{
"type": "run",
"ports": [
"py37-tensor2tensor",
"py37-wxpython-4.0",
"py37-scikit-image",
"py37-wordcloud",
"py37-zbar",
"py37-xraylarch",
"py37-gpilab-framework",
"py37-Faker",
"py37-aplpy",
"py37-magenta"
]
},
{
"type": "test",
"ports": [
"py37-django-countries",
"py37-scrapy"
]
}
]
},
{
"name": "py310-pymc",
"portdir": "python/py-pymc",
"version": "5.25.1",
"license": "Apache-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pymc-devs/pymc",
"description": "Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara",
"long_description": "PyMC (formerly PyMC3) is a Python package for Bayesian statistical modeling focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "reneeotten",
"github": "reneeotten",
"ports_count": 2122
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py310-setuptools",
"py310-wheel",
"py310-build",
"py310-installer",
"py310-versioneer",
"clang-17"
]
},
{
"type": "lib",
"ports": [
"py310-pandas",
"py310-rich",
"py310-threadpoolctl",
"py310-cloudpickle",
"py310-arviz",
"py310-pytensor",
"python310",
"py310-typing_extensions",
"py310-tomli",
"py310-cachetools",
"py310-numpy",
"py310-scipy"
]
},
{
"type": "test",
"ports": [
"py310-pytest"
]
}
],
"depends_on": []
},
{
"name": "py38-pymc",
"portdir": "python/py-pymc",
"version": "5.6.1",
"license": "Apache-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pymc-devs/pymc",
"description": "Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara",
"long_description": "PyMC (formerly PyMC3) is a Python package for Bayesian statistical modeling focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "reneeotten",
"github": "reneeotten",
"ports_count": 2122
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-15"
]
},
{
"type": "lib",
"ports": [
"py38-arviz",
"py38-cachetools",
"py38-cloudpickle",
"py38-fastprogress",
"py38-numpy",
"py38-pandas",
"py38-scipy",
"py38-typing_extensions",
"py38-pytensor",
"python38"
]
},
{
"type": "test",
"ports": [
"py38-pytest"
]
}
],
"depends_on": []
},
{
"name": "py37-pymc",
"portdir": "python/py-pymc",
"version": "4.1.7",
"license": "Apache-2",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pymc-devs/pymc",
"description": "Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara",
"long_description": "PyMC (formerly PyMC3) is a Python package for Bayesian statistical modeling focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "reneeotten",
"github": "reneeotten",
"ports_count": 2122
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-14"
]
},
{
"type": "lib",
"ports": [
"py37-arviz",
"py37-cachetools",
"py37-cloudpickle",
"py37-fastprogress",
"py37-numpy",
"py37-scipy",
"py37-typing_extensions",
"py37-aeppl",
"py37-aesara",
"python37"
]
},
{
"type": "test",
"ports": [
"py37-pytest"
]
}
],
"depends_on": []
},
{
"name": "py39-pymc",
"portdir": "python/py-pymc",
"version": "5.17.0",
"license": "Apache-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pymc-devs/pymc",
"description": "Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara",
"long_description": "PyMC (formerly PyMC3) is a Python package for Bayesian statistical modeling focusing on advanced Markov chain Monte Carlo (MCMC) and variational inference (VI) algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "reneeotten",
"github": "reneeotten",
"ports_count": 2122
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py39-setuptools",
"py39-wheel",
"py39-build",
"py39-installer",
"clang-17"
]
},
{
"type": "lib",
"ports": [
"py39-numpy",
"py39-pandas",
"py39-scipy",
"py39-typing_extensions",
"py39-pytensor",
"python39",
"py39-arviz",
"py39-cachetools",
"py39-cloudpickle",
"py39-fastprogress"
]
},
{
"type": "test",
"ports": [
"py39-pytest"
]
}
],
"depends_on": []
},
{
"name": "py38-gradio",
"portdir": "python/py-gradio",
"version": "3.0.9",
"license": "Apache-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://gradio.app",
"description": "Create UIs for your machine learning model",
"long_description": "Gradio is the fastest way to demo your machine learning model with a friendly web interface",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-14"
]
},
{
"type": "lib",
"ports": [
"py38-setuptools",
"python38"
]
},
{
"type": "run",
"ports": [
"py38-aiohttp",
"py38-fastapi",
"py38-jinja2",
"py38-markdown-it-py",
"py38-matplotlib",
"py38-numpy",
"py38-pandas",
"py38-paramiko",
"py38-pycryptodome",
"py38-pydub",
"py38-requests",
"py38-uvicorn",
"py38-analytics-python",
"py38-ffmpy",
"py38-python-multipart",
"py38-orjson",
"py38-Pillow"
]
}
],
"depends_on": []
},
{
"name": "py310-gradio",
"portdir": "python/py-gradio",
"version": "3.0.9",
"license": "Apache-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://gradio.app",
"description": "Create UIs for your machine learning model",
"long_description": "Gradio is the fastest way to demo your machine learning model with a friendly web interface",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py310-setuptools",
"clang-18",
"py310-installer",
"py310-build",
"py310-wheel"
]
},
{
"type": "lib",
"ports": [
"python310"
]
},
{
"type": "run",
"ports": [
"py310-pandas",
"py310-matplotlib",
"py310-pycryptodome",
"py310-markdown-it-py",
"py310-paramiko",
"py310-fastapi",
"py310-uvicorn",
"py310-pydub",
"py310-analytics-python",
"py310-ffmpy",
"py310-python-multipart",
"py310-orjson",
"py310-jinja2",
"py310-aiohttp",
"py310-Pillow",
"py310-numpy",
"py310-requests"
]
}
],
"depends_on": []
},
{
"name": "py39-gradio",
"portdir": "python/py-gradio",
"version": "3.0.9",
"license": "Apache-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://gradio.app",
"description": "Create UIs for your machine learning model",
"long_description": "Gradio is the fastest way to demo your machine learning model with a friendly web interface",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py39-wheel",
"py39-setuptools",
"clang-17",
"py39-installer",
"py39-build"
]
},
{
"type": "lib",
"ports": [
"python39",
"py39-setuptools"
]
},
{
"type": "run",
"ports": [
"py39-numpy",
"py39-pandas",
"py39-paramiko",
"py39-pydub",
"py39-requests",
"py39-uvicorn",
"py39-pycryptodome",
"py39-markdown-it-py",
"py39-analytics-python",
"py39-ffmpy",
"py39-python-multipart",
"py39-orjson",
"py39-matplotlib",
"py39-jinja2",
"py39-fastapi",
"py39-aiohttp",
"py39-Pillow"
]
}
],
"depends_on": []
},
{
"name": "py39-pptx",
"portdir": "python/py-pptx",
"version": "0.6.23",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/scanny/python-pptx",
"description": "Python module for creating and updating PowerPoint files.",
"long_description": "A typical use would be generating a customized PowerPoint presentation from database content, downloadable by clicking a link in a web application. Several developers have used it to automate production of presentation-ready engineering status reports based on information held in their work management system. It could also be used for making bulk updates to a library of presentations or simply to automate the production of a slide or two that would be tedious to get right by hand.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "eborisch",
"github": "eborisch",
"ports_count": 222
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"py39-setuptools",
"py39-wheel",
"py39-build",
"py39-installer"
]
},
{
"type": "lib",
"ports": [
"py39-Pillow",
"py39-lxml",
"py39-XlsxWriter",
"python39"
]
}
],
"depends_on": []
},
{
"name": "py38-pptx",
"portdir": "python/py-pptx",
"version": "0.6.23",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/scanny/python-pptx",
"description": "Python module for creating and updating PowerPoint files.",
"long_description": "A typical use would be generating a customized PowerPoint presentation from database content, downloadable by clicking a link in a web application. Several developers have used it to automate production of presentation-ready engineering status reports based on information held in their work management system. It could also be used for making bulk updates to a library of presentations or simply to automate the production of a slide or two that would be tedious to get right by hand.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "eborisch",
"github": "eborisch",
"ports_count": 222
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"py38-setuptools",
"py38-wheel",
"py38-build",
"py38-installer"
]
},
{
"type": "lib",
"ports": [
"py38-Pillow",
"py38-XlsxWriter",
"py38-lxml",
"python38"
]
}
],
"depends_on": []
},
{
"name": "py37-pptx",
"portdir": "python/py-pptx",
"version": "0.6.23",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/scanny/python-pptx",
"description": "Python module for creating and updating PowerPoint files.",
"long_description": "A typical use would be generating a customized PowerPoint presentation from database content, downloadable by clicking a link in a web application. Several developers have used it to automate production of presentation-ready engineering status reports based on information held in their work management system. It could also be used for making bulk updates to a library of presentations or simply to automate the production of a slide or two that would be tedious to get right by hand.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "eborisch",
"github": "eborisch",
"ports_count": 222
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"py37-setuptools",
"py37-wheel",
"py37-build",
"py37-installer"
]
},
{
"type": "lib",
"ports": [
"py37-Pillow",
"py37-XlsxWriter",
"py37-lxml",
"python37"
]
}
],
"depends_on": []
},
{
"name": "py36-pptx",
"portdir": "python/py-pptx",
"version": "0.6.19",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/scanny/python-pptx",
"description": "Python module for creating and updating PowerPoint files.",
"long_description": "A typical use would be generating a customized PowerPoint presentation from database content, downloadble by clicking a link in a web application. Several developers have used it to automate production of presentation-ready engineering status reports based on information held in their work management system. It could also be used for making bulk updates to a library of presentations or simply to automate the production of a slide or two that would be tedious to get right by hand.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "eborisch",
"github": "eborisch",
"ports_count": 222
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-9.0",
"py36-setuptools"
]
},
{
"type": "lib",
"ports": [
"python36",
"py36-Pillow",
"py36-XlsxWriter",
"py36-lxml"
]
}
],
"depends_on": []
},
{
"name": "py27-pptx",
"portdir": "python/py-pptx",
"version": "0.6.21",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/scanny/python-pptx",
"description": "Python module for creating and updating PowerPoint files.",
"long_description": "A typical use would be generating a customized PowerPoint presentation from database content, downloadble by clicking a link in a web application. Several developers have used it to automate production of presentation-ready engineering status reports based on information held in their work management system. It could also be used for making bulk updates to a library of presentations or simply to automate the production of a slide or two that would be tedious to get right by hand.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "eborisch",
"github": "eborisch",
"ports_count": 222
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-9.0",
"py27-setuptools"
]
},
{
"type": "lib",
"ports": [
"python27",
"py27-Pillow",
"py27-XlsxWriter",
"py27-lxml"
]
}
],
"depends_on": []
},
{
"name": "py35-pyilmbase",
"portdir": "graphics/openexr",
"version": "2.3.0",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://www.openexr.com",
"description": "OpenEXR Graphics Library",
"long_description": "OpenEXR is a high dynamic-range (HDR) image file format developed by Industrial Light & Magic for use in computer imaging applications.",
"active": false,
"categories": [
"graphics"
],
"maintainers": [
{
"name": "mcalhoun",
"github": "MarcusCalhoun-Lopez",
"ports_count": 1599
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"cctools",
"pkgconfig",
"clang-9.0"
]
},
{
"type": "lib",
"ports": [
"py35-numpy",
"zlib",
"boost176",
"ilmbase",
"python35"
]
}
],
"depends_on": []
},
{
"name": "py36-pyilmbase",
"portdir": "graphics/openexr",
"version": "2.3.0",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://www.openexr.com",
"description": "OpenEXR Graphics Library",
"long_description": "OpenEXR is a high dynamic-range (HDR) image file format developed by Industrial Light & Magic for use in computer imaging applications.",
"active": false,
"categories": [
"graphics"
],
"maintainers": [
{
"name": "mcalhoun",
"github": "MarcusCalhoun-Lopez",
"ports_count": 1599
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"cctools",
"pkgconfig",
"clang-9.0"
]
},
{
"type": "lib",
"ports": [
"py36-numpy",
"zlib",
"boost176",
"ilmbase",
"python36"
]
}
],
"depends_on": []
},
{
"name": "py39-pyilmbase",
"portdir": "graphics/openexr",
"version": "2.3.0",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://www.openexr.com",
"description": "OpenEXR Graphics Library",
"long_description": "OpenEXR is a high dynamic-range (HDR) image file format developed by Industrial Light & Magic for use in computer imaging applications.",
"active": false,
"categories": [
"graphics"
],
"maintainers": [
{
"name": "mcalhoun",
"github": "MarcusCalhoun-Lopez",
"ports_count": 1599
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"cctools",
"pkgconfig",
"clang-9.0"
]
},
{
"type": "lib",
"ports": [
"py39-numpy",
"zlib",
"boost176",
"ilmbase",
"python39"
]
}
],
"depends_on": []
},
{
"name": "py37-pyilmbase",
"portdir": "graphics/openexr",
"version": "2.3.0",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://www.openexr.com",
"description": "OpenEXR Graphics Library",
"long_description": "OpenEXR is a high dynamic-range (HDR) image file format developed by Industrial Light & Magic for use in computer imaging applications.",
"active": false,
"categories": [
"graphics"
],
"maintainers": [
{
"name": "mcalhoun",
"github": "MarcusCalhoun-Lopez",
"ports_count": 1599
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"cctools",
"pkgconfig",
"clang-9.0"
]
},
{
"type": "lib",
"ports": [
"py37-numpy",
"zlib",
"boost176",
"ilmbase",
"python37"
]
}
],
"depends_on": []
},
{
"name": "py27-pyilmbase",
"portdir": "graphics/openexr",
"version": "2.3.0",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://www.openexr.com",
"description": "OpenEXR Graphics Library",
"long_description": "OpenEXR is a high dynamic-range (HDR) image file format developed by Industrial Light & Magic for use in computer imaging applications.",
"active": false,
"categories": [
"graphics"
],
"maintainers": [
{
"name": "mcalhoun",
"github": "MarcusCalhoun-Lopez",
"ports_count": 1599
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"cctools",
"pkgconfig",
"clang-9.0"
]
},
{
"type": "lib",
"ports": [
"py27-numpy",
"zlib",
"boost176",
"ilmbase",
"python27"
]
}
],
"depends_on": []
},
{
"name": "py38-pyilmbase",
"portdir": "graphics/openexr",
"version": "2.3.0",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://www.openexr.com",
"description": "OpenEXR Graphics Library",
"long_description": "OpenEXR is a high dynamic-range (HDR) image file format developed by Industrial Light & Magic for use in computer imaging applications.",
"active": false,
"categories": [
"graphics"
],
"maintainers": [
{
"name": "mcalhoun",
"github": "MarcusCalhoun-Lopez",
"ports_count": 1599
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"cctools",
"pkgconfig",
"clang-9.0"
]
},
{
"type": "lib",
"ports": [
"py38-numpy",
"zlib",
"boost176",
"ilmbase",
"python38"
]
}
],
"depends_on": []
},
{
"name": "py39-XlsxWriter",
"portdir": "python/py-XlsxWriter",
"version": "3.2.9",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/jmcnamara/XlsxWriter",
"description": "Python module for writing files in XLSX file format.",
"long_description": "XlsxWriter can be used to write text, numbers, formulas and hyperlinks to multiple worksheets and it supports features such as formatting and many more.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "eborisch",
"github": "eborisch",
"ports_count": 222
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py39-setuptools",
"py39-wheel",
"py39-build",
"py39-installer",
"clang-18"
]
},
{
"type": "lib",
"ports": [
"python39"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py39-pptx"
]
}
]
},
{
"name": "py37-XlsxWriter",
"portdir": "python/py-XlsxWriter",
"version": "3.1.9",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/jmcnamara/XlsxWriter",
"description": "Python module for writing files in XLSX file format.",
"long_description": "XlsxWriter can be used to write text, numbers, formulas and hyperlinks to multiple worksheets and it supports features such as formatting and many more.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "eborisch",
"github": "eborisch",
"ports_count": 222
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-setuptools",
"py37-wheel",
"py37-build",
"py37-installer",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"python37"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-pptx"
]
}
]
},
{
"name": "py27-XlsxWriter",
"portdir": "python/py-XlsxWriter",
"version": "2.0.0",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/jmcnamara/XlsxWriter",
"description": "Python module for writing files in XLSX file format.",
"long_description": "XlsxWriter can be used to write text, numbers, formulas and hyperlinks to multiple worksheets and it supports features such as formatting and many more.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "eborisch",
"github": "eborisch",
"ports_count": 222
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-9.0",
"py27-setuptools"
]
},
{
"type": "lib",
"ports": [
"python27"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py27-pptx"
]
}
]
},
{
"name": "py36-XlsxWriter",
"portdir": "python/py-XlsxWriter",
"version": "1.4.3",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/jmcnamara/XlsxWriter",
"description": "Python module for writing files in XLSX file format.",
"long_description": "XlsxWriter can be used to write text, numbers, formulas and hyperlinks to multiple worksheets and it supports features such as formatting and many more.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "eborisch",
"github": "eborisch",
"ports_count": 222
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-9.0",
"py36-setuptools"
]
},
{
"type": "lib",
"ports": [
"python36"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py36-pptx"
]
}
]
},
{
"name": "py38-XlsxWriter",
"portdir": "python/py-XlsxWriter",
"version": "3.2.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/jmcnamara/XlsxWriter",
"description": "Python module for writing files in XLSX file format.",
"long_description": "XlsxWriter can be used to write text, numbers, formulas and hyperlinks to multiple worksheets and it supports features such as formatting and many more.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "eborisch",
"github": "eborisch",
"ports_count": 222
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py38-setuptools",
"py38-wheel",
"py38-build",
"py38-installer",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"python38"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py38-pptx"
]
}
]
},
{
"name": "iperf3-devel",
"portdir": "net/iperf3",
"version": "20231123",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": "iperf3",
"homepage": "https://www.macports.org",
"description": "Obsolete port, replaced by iperf3",
"long_description": "This port has been replaced by iperf3.",
"active": false,
"categories": [
"net"
],
"maintainers": [
{
"name": "allan.que",
"github": "aque",
"ports_count": 15
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"pkgconfig",
"clang-17"
]
},
{
"type": "extract",
"ports": [
null
]
},
{
"type": "fetch",
"ports": [
null
]
},
{
"type": "lib",
"ports": [
"openssl3"
]
},
{
"type": "patch",
"ports": [
null
]
},
{
"type": "run",
"ports": [
null
]
},
{
"type": "test",
"ports": [
null
]
}
],
"depends_on": []
},
{
"name": "py36-libxml2",
"portdir": "python/py-libxml2",
"version": "2.9.13",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "http://xmlsoft.org/python.html",
"description": "Python bindings for libxml2",
"long_description": "Python bindings for libxml2",
"active": false,
"categories": [
"textproc",
"python"
],
"maintainers": [
{
"name": "mcalhoun",
"github": "MarcusCalhoun-Lopez",
"ports_count": 1599
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-13"
]
},
{
"type": "extract",
"ports": [
"xz"
]
},
{
"type": "lib",
"ports": [
"python36",
"libxml2"
]
}
],
"depends_on": []
},
{
"name": "py38-libxml2",
"portdir": "python/py-libxml2",
"version": "2.13.5",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://gitlab.gnome.org/GNOME/libxml2/-/wikis/Python-bindings",
"description": "Python bindings for libxml2",
"long_description": "Python bindings for libxml2",
"active": false,
"categories": [
"textproc",
"python"
],
"maintainers": [
{
"name": "mcalhoun",
"github": "MarcusCalhoun-Lopez",
"ports_count": 1599
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"py38-setuptools",
"clang-17"
]
},
{
"type": "extract",
"ports": [
"xz"
]
},
{
"type": "lib",
"ports": [
"python38",
"libxml2"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py38-libxslt"
]
}
]
},
{
"name": "py35-libxml2",
"portdir": "python/py-libxml2",
"version": "2.9.13",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "http://xmlsoft.org/python.html",
"description": "Python bindings for libxml2",
"long_description": "Python bindings for libxml2",
"active": false,
"categories": [
"textproc",
"python"
],
"maintainers": [
{
"name": "mcalhoun",
"github": "MarcusCalhoun-Lopez",
"ports_count": 1599
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-13"
]
},
{
"type": "extract",
"ports": [
"xz"
]
},
{
"type": "lib",
"ports": [
"python35",
"libxml2"
]
}
],
"depends_on": []
},
{
"name": "py39-libxml2",
"portdir": "python/py-libxml2",
"version": "2.13.9",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://gitlab.gnome.org/GNOME/libxml2/-/wikis/Python-bindings",
"description": "Python bindings for libxml2",
"long_description": "Python bindings for libxml2",
"active": false,
"categories": [
"textproc",
"python"
],
"maintainers": [
{
"name": "mcalhoun",
"github": "MarcusCalhoun-Lopez",
"ports_count": 1599
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"py39-setuptools",
"clang-18"
]
},
{
"type": "extract",
"ports": [
"xz"
]
},
{
"type": "lib",
"ports": [
"python39",
"libxml2"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py39-libxslt"
]
}
]
},
{
"name": "py37-libxml2",
"portdir": "python/py-libxml2",
"version": "2.11.5",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://gitlab.gnome.org/GNOME/libxml2/-/wikis/Python-bindings",
"description": "Python bindings for libxml2",
"long_description": "Python bindings for libxml2",
"active": false,
"categories": [
"textproc",
"python"
],
"maintainers": [
{
"name": "mcalhoun",
"github": "MarcusCalhoun-Lopez",
"ports_count": 1599
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"py37-setuptools",
"clang-16"
]
},
{
"type": "extract",
"ports": [
"xz"
]
},
{
"type": "lib",
"ports": [
"python37",
"libxml2"
]
}
],
"depends_on": []
},
{
"name": "py39-npx",
"portdir": "python/py-npx",
"version": "0.1.6",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/nschloe/npx",
"description": "NumPy is a large library used everywhere in scientific computing. That's why breaking backwards-compatibility comes at a significant cost and is almost always avoided, even if the API of some methods is arguably lacking. This package provides drop-in wrappers fixing those.",
"long_description": "NumPy is a large library used everywhere in scientific computing. That's why breaking backwards-compatibility comes at a significant cost and is almost always avoided, even if the API of some methods is arguably lacking. This package provides drop-in wrappers fixing those.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "mps",
"github": "Schamschula",
"ports_count": 1419
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py39-wheel",
"py39-installer",
"clang-17",
"py39-setuptools",
"py39-build"
]
},
{
"type": "lib",
"ports": [
"py39-numpy",
"python39"
]
}
],
"depends_on": []
},
{
"name": "py37-npx",
"portdir": "python/py-npx",
"version": "0.1.2",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/nschloe/npx",
"description": "NumPy is a large library used everywhere in scientific computing. That's why breaking backwards-compatibility comes at a significant cost and is almost always avoided, even if the API of some methods is arguably lacking. This package provides drop-in wrappers fixing those.",
"long_description": "NumPy is a large library used everywhere in scientific computing. That's why breaking backwards-compatibility comes at a significant cost and is almost always avoided, even if the API of some methods is arguably lacking. This package provides drop-in wrappers fixing those.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "mps",
"github": "Schamschula",
"ports_count": 1419
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-flit_core",
"py37-build",
"py37-installer",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"py37-colorama",
"py37-numpy",
"python37"
]
}
],
"depends_on": []
},
{
"name": "py38-npx",
"portdir": "python/py-npx",
"version": "0.1.6",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/nschloe/npx",
"description": "NumPy is a large library used everywhere in scientific computing. That's why breaking backwards-compatibility comes at a significant cost and is almost always avoided, even if the API of some methods is arguably lacking. This package provides drop-in wrappers fixing those.",
"long_description": "NumPy is a large library used everywhere in scientific computing. That's why breaking backwards-compatibility comes at a significant cost and is almost always avoided, even if the API of some methods is arguably lacking. This package provides drop-in wrappers fixing those.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "mps",
"github": "Schamschula",
"ports_count": 1419
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py38-wheel",
"py38-installer",
"clang-16",
"py38-setuptools",
"py38-build"
]
},
{
"type": "lib",
"ports": [
"py38-numpy",
"python38"
]
}
],
"depends_on": []
},
{
"name": "py39-pytorch",
"portdir": "python/py-pytorch",
"version": "2.3.0",
"license": "BSD",
"platforms": "{darwin >= 19}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pytorch.org/",
"description": "Tensors and dynamic neural networks in Python with strong GPU acceleration",
"long_description": "PyTorch is a Python package that provides two high-level features: Tensor computation (like NumPy) with strong GPU acceleration; Deep neural networks built on a tape-based autograd system. You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.",
"active": false,
"categories": [
"python"
],
"maintainers": [],
"variants": [
"clang13",
"clang14",
"clang15",
"clang16",
"clang17",
"clang18",
"clang19",
"clang20",
"clang21",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gcc14",
"gcc15",
"gccdevel",
"gfortran",
"mpich",
"openmpi",
"mkl",
"mps"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-20",
"cctools",
"cmake",
"git",
"ninja",
"py39-astunparse",
"py39-mkl-include",
"py39-requests",
"py39-setuptools",
"py39-wheel",
"doxygen",
"py39-build",
"py39-installer"
]
},
{
"type": "fetch",
"ports": [
"git"
]
},
{
"type": "lib",
"ports": [
"py39-click",
"py39-future",
"py39-mkl",
"py39-numpy",
"py39-pybind11",
"py39-sympy",
"py39-typing_extensions",
"py39-yaml",
"onetbb",
"zstd",
"leveldb",
"lmdb",
"gflags",
"gmp",
"google-glog",
"mpfr",
"zmq",
"opencv4",
"libomp",
"python39",
"OpenBLAS",
"eigen3",
"py39-cffi"
]
},
{
"type": "run",
"ports": [
"py39-onnx"
]
},
{
"type": "test",
"ports": [
"py39-pytest"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py39-torchaudio",
"py39-torchtext",
"py39-torchvision"
]
},
{
"type": "run",
"ports": [
"py39-sentence-transformers",
"py39-transformers",
"py39-allennlp",
"py39-kraken",
"py39-pytorch-lightning",
"py39-fairseq"
]
},
{
"type": "test",
"ports": [
"py39-huggingface_hub"
]
}
]
},
{
"name": "py37-pytorch",
"portdir": "python/py-pytorch",
"version": "2.0.0",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pytorch.org/",
"description": "Tensors and dynamic neural networks in Python with strong GPU acceleration",
"long_description": "PyTorch is a Python package that provides two high-level features: Tensor computation (like NumPy) with strong GPU acceleration; Deep neural networks built on a tape-based autograd system. You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.",
"active": false,
"categories": [
"python"
],
"maintainers": [],
"variants": [
"clang10",
"clang11",
"clang12",
"clang13",
"clang14",
"clang15",
"clang16",
"clang50",
"clang60",
"clang70",
"clang80",
"clang90",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gccdevel",
"gfortran",
"mpich",
"openmpi",
"mkl",
"mps"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-15",
"cctools",
"cmake",
"git",
"py37-mkl-include",
"py37-setuptools",
"doxygen"
]
},
{
"type": "fetch",
"ports": [
"git"
]
},
{
"type": "lib",
"ports": [
"zmq",
"opencv4",
"libomp",
"python37",
"OpenBLAS",
"eigen3",
"py37-cffi",
"py37-click",
"py37-future",
"py37-mkl",
"py37-numpy",
"py37-pybind11",
"py37-typing_extensions",
"py37-yaml",
"zstd",
"leveldb",
"lmdb",
"gflags",
"gmp",
"google-glog",
"mpfr",
"tbb"
]
},
{
"type": "run",
"ports": [
"py37-onnx"
]
},
{
"type": "test",
"ports": [
"py37-pytest"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-torchtext",
"py37-torchaudio",
"py37-torchvision"
]
},
{
"type": "run",
"ports": [
"py37-fairseq",
"py37-pytorch-lightning"
]
}
]
},
{
"name": "py38-pytorch",
"portdir": "python/py-pytorch",
"version": "2.3.0",
"license": "BSD",
"platforms": "{darwin >= 19}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://pytorch.org/",
"description": "Tensors and dynamic neural networks in Python with strong GPU acceleration",
"long_description": "PyTorch is a Python package that provides two high-level features: Tensor computation (like NumPy) with strong GPU acceleration; Deep neural networks built on a tape-based autograd system. You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed.",
"active": false,
"categories": [
"python"
],
"maintainers": [],
"variants": [
"clang10",
"clang11",
"clang12",
"clang13",
"clang14",
"clang15",
"clang16",
"clang17",
"clang18",
"clang50",
"clang60",
"clang70",
"clang80",
"clang90",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gcc14",
"gccdevel",
"gfortran",
"mpich",
"openmpi",
"mkl",
"mps"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"cctools",
"cmake",
"git",
"ninja",
"py38-astunparse",
"py38-mkl-include",
"py38-requests",
"py38-setuptools",
"py38-wheel",
"doxygen",
"py38-build",
"py38-installer"
]
},
{
"type": "fetch",
"ports": [
"git"
]
},
{
"type": "lib",
"ports": [
"py38-click",
"py38-future",
"py38-mkl",
"py38-numpy",
"py38-pybind11",
"py38-typing_extensions",
"py38-yaml",
"onetbb",
"zstd",
"leveldb",
"lmdb",
"gflags",
"gmp",
"google-glog",
"mpfr",
"zmq",
"opencv4",
"libomp",
"python38",
"OpenBLAS",
"eigen3",
"py38-cffi"
]
},
{
"type": "run",
"ports": [
"py38-onnx"
]
},
{
"type": "test",
"ports": [
"py38-pytest"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py38-torchtext",
"py38-torchvision",
"py38-torchaudio"
]
},
{
"type": "run",
"ports": [
"py38-sentence-transformers",
"py38-fairseq",
"py38-pytorch-lightning",
"py38-transformers",
"py38-allennlp",
"py38-kraken"
]
},
{
"type": "test",
"ports": [
"py38-huggingface_hub"
]
}
]
},
{
"name": "hamlib-devel",
"portdir": "science/hamlib",
"version": "20230305-d06244c4",
"license": "LGPL and GPL",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://hamlib.github.io",
"description": "Ham Radio Control Libraries",
"long_description": "Flexible and portable shared libraries that offer a standardized API to control any radio oriented equipment through a computer interface. This port is kept up with the Hamlib GIT 'master' branch, is typically updated weekly to monthly.",
"active": false,
"categories": [
"science"
],
"maintainers": [
{
"name": "ra1nb0w",
"github": "ra1nb0w",
"ports_count": 151
}
],
"variants": [
"python27",
"python36",
"python37",
"python38",
"python39",
"python310",
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-17",
"automake",
"libtool",
"pkgconfig",
"autoconf"
]
},
{
"type": "lib",
"ports": [
"libusb-compat",
"libxml2",
"libtool"
]
}
],
"depends_on": []
},
{
"name": "p5.26-metacpan-client",
"portdir": "perl/p5-metacpan-client",
"version": "2.29.0",
"license": "(Artistic-1 or GPL)",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://metacpan.org/pod/MetaCPAN::Client",
"description": "MetaCPAN::Client - A comprehensive, DWIM-featured client to the MetaCPAN API",
"long_description": "MetaCPAN::Client - A comprehensive, DWIM-featured client to the MetaCPAN API",
"active": false,
"categories": [
"perl"
],
"maintainers": [
{
"name": "devans",
"github": "dbevans",
"ports_count": 2646
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-9.0",
"p5.26-extutils-makemaker",
"p5.26-http-tiny-mech",
"p5.26-lwp-protocol-https",
"p5.26-test-fatal",
"p5.26-test-needs",
"p5.26-www-mechanize-cached"
]
},
{
"type": "lib",
"ports": [
"p5.26-safe-isa",
"perl5.26",
"p5.26-uri",
"p5.26-type-tiny",
"p5.26-http-tiny",
"p5.26-io-socket-ssl",
"p5.26-json-maybexs",
"p5.26-moo",
"p5.26-net-ssleay",
"p5.26-ref-util"
]
}
],
"depends_on": []
},
{
"name": "p5.26-encode",
"portdir": "perl/p5-encode",
"version": "3.100.0",
"license": "(Artistic-1 or GPL)",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://metacpan.org/pod/Encode",
"description": "Character encoding module",
"long_description": "The Encode module provides the interfaces between Perl's strings and the rest of the system. Perl strings are sequences of characters.",
"active": false,
"categories": [
"perl"
],
"maintainers": [],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-9.0"
]
},
{
"type": "lib",
"ports": [
"perl5.26"
]
}
],
"depends_on": [
{
"type": "build",
"ports": [
"p5.26-dbd-csv",
"p5.26-ppi",
"p5.26-test-mojibake",
"p5.26-code-tidyall",
"p5.26-log-dispatch-filerotate",
"p5.26-yaml"
]
},
{
"type": "lib",
"ports": [
"p5.26-catalyst-view-html-mason",
"p5.26-cpanel-json-xs",
"p5.26-data-section",
"p5.26-dbix-class-encodedcolumn",
"p5.26-dbix-searchbuilder",
"p5.26-dist-zilla",
"p5.26-dist-zilla-plugin-checkissues",
"p5.26-dist-zilla-plugin-contributorsfromgit",
"p5.26-dist-zilla-plugin-generatefile-fromsharedir",
"p5.26-dist-zilla-plugin-keywords",
"p5.26-dist-zilla-plugin-promptifstale",
"p5.26-dist-zilla-plugin-readmeanyfrompod",
"p5.26-dist-zilla-role-filewatcher",
"p5.26-email-mime-contenttype",
"p5.26-encode-detect",
"p5.26-encode-hanextra",
"p5.26-encode-iso2022",
"p5.26-encode-jis2k",
"p5.26-encode-jisx0213",
"p5.26-file-slurper",
"p5.26-finance-quote",
"p5.26-html-encoding",
"p5.26-html-form",
"p5.26-html-tidy5",
"p5.26-mail-message",
"p5.26-mhonarc",
"p5.26-mime-charset",
"p5.26-mime-encwords",
"p5.26-net-twitter",
"p5.26-parse-win32registry",
"p5.26-path-tiny",
"p5.26-pod-elemental",
"p5.26-pod-elemental-perlmunger",
"p5.26-pod-markdown",
"p5.26-tex-encode",
"p5.26-http-message",
"p5.26-text-multimarkdown",
"p5.26-text-template",
"p5.26-twitter-api",
"p5.26-xml-libxml",
"p5.26-xml-sax-writer",
"p5.26-text-csv_xs",
"p5.26-cpan-meta",
"p5.26-module-metadata",
"p5.26-pod-simple",
"p5.26-archive-zip",
"p5.26-catalyst-runtime"
]
}
]
},
{
"name": "p5.325.32-encode",
"portdir": "perl/p5-encode",
"version": "3.100.0",
"license": "(Artistic-1 or GPL)",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://metacpan.org/pod/Encode",
"description": "Character encoding module",
"long_description": "The Encode module provides the interfaces between Perl's strings and the rest of the system. Perl strings are sequences of characters.",
"active": false,
"categories": [
"perl"
],
"maintainers": [],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-9.0"
]
},
{
"type": "lib",
"ports": [
null
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"p5.325.32-cpan-meta",
"p5.325.32-module-metadata",
"p5.325.32-pod-simple"
]
}
]
},
{
"name": "p5.26-text-csv_xs",
"portdir": "perl/p5-text-csv_xs",
"version": "1.450.0",
"license": "(Artistic-1 or GPL)",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://metacpan.org/pod/Text::CSV_XS",
"description": "Perl module containing comma-separated values manipulation routines",
"long_description": "Text::CSV_XS provides facilities for the composition and decomposition of comma-separated values. An instance of the Text::CSV_XS class can combine fields into a CSV string and parse a CSV string into fields.",
"active": false,
"categories": [
"perl"
],
"maintainers": [
{
"name": "mni",
"github": "",
"ports_count": 27
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-9.0"
]
},
{
"type": "lib",
"ports": [
"perl5.26",
"p5.26-encode"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"p5.26-class-csv",
"p5.26-dbd-csv",
"p5.26-finance-quotehist",
"p5.26-gd",
"p5.26-rdf-trine",
"p5.26-text-csv"
]
}
]
},
{
"name": "py39-metakernel",
"portdir": "python/py-metakernel",
"version": "0.30.3",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/Calysto/metakernel",
"description": "A Jupyter/IPython kernel template",
"long_description": "A Jupyter/IPython kernel template which includes core magic functions (including help, command and file path completion, parallel and distributed processing, downloads, and much more).",
"active": false,
"categories": [
"devel",
"science",
"python"
],
"maintainers": [
{
"name": "mps",
"github": "Schamschula",
"ports_count": 1419
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py39-build",
"py39-hatchling",
"py39-installer",
"clang-17"
]
},
{
"type": "lib",
"ports": [
"python39",
"py39-notebook"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py39-octave_kernel",
"py39-oct2py"
]
}
]
},
{
"name": "py37-metakernel",
"portdir": "python/py-metakernel",
"version": "0.30.2",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/Calysto/metakernel",
"description": "A Jupyter/IPython kernel template",
"long_description": "A Jupyter/IPython kernel template which includes core magic functions (including help, command and file path completion, parallel and distributed processing, downloads, and much more).",
"active": false,
"categories": [
"devel",
"science",
"python"
],
"maintainers": [
{
"name": "mps",
"github": "Schamschula",
"ports_count": 1419
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"py37-build",
"py37-hatchling",
"py37-installer"
]
},
{
"type": "extract",
"ports": [
null
]
},
{
"type": "fetch",
"ports": [
null
]
},
{
"type": "lib",
"ports": [
"py37-notebook",
"python37"
]
},
{
"type": "patch",
"ports": [
null
]
},
{
"type": "run",
"ports": [
null
]
},
{
"type": "test",
"ports": [
null
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-octave_kernel",
"py37-oct2py"
]
}
]
},
{
"name": "py34-metakernel",
"portdir": "python/py-metakernel",
"version": "0.28.1",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": "py36-metakernel",
"homepage": "https://github.com/Calysto/metakernel",
"description": "Obsolete port, replaced by py36-metakernel",
"long_description": "This port has been replaced by py36-metakernel.",
"active": false,
"categories": [
"devel",
"science",
"python"
],
"maintainers": [
{
"name": "mps",
"github": "Schamschula",
"ports_count": 1419
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-9.0"
]
},
{
"type": "extract",
"ports": [
null
]
},
{
"type": "fetch",
"ports": [
null
]
},
{
"type": "lib",
"ports": [
"python34"
]
},
{
"type": "patch",
"ports": [
null
]
},
{
"type": "run",
"ports": [
null
]
},
{
"type": "test",
"ports": [
null
]
}
],
"depends_on": []
}
]
}