HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept
{
"count": 51637,
"next": "https://ports.macports.org/api/v1/ports/?format=api&ordering=name&page=682",
"previous": "https://ports.macports.org/api/v1/ports/?format=api&ordering=name&page=680",
"results": [
{
"name": "py37-jsonschema",
"portdir": "python/py-jsonschema",
"version": "4.17.3",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/python-jsonschema/jsonschema",
"description": "An implementation of JSON Schema validation for Python.",
"long_description": "An implementation of JSON Schema validation for Python.",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-build",
"py37-hatchling",
"py37-hatch-vcs",
"py37-installer",
"py37-hatch-fancy-pypi-readme",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"py37-typing_extensions",
"python37",
"py37-pkgutil_resolve_name",
"py37-attrs",
"py37-importlib-metadata",
"py37-importlib-resources",
"py37-pyrsistent",
"py37-setuptools"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-altair",
"py37-nbformat",
"py37-beancount-import",
"py37-datacite",
"py37-spaCy",
"py37-jupyterlab_server"
]
},
{
"type": "run",
"ports": [
"py37-spyder",
"py37-aws-sam-translator",
"py37-spyder-devel",
"py37-cfn-lint"
]
}
]
},
{
"name": "py37-json-tricks",
"portdir": "python/py-json-tricks",
"version": "3.17.3",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/mverleg/pyjson_tricks",
"description": "The json-tricks exentds handling of json files.",
"long_description": "The pyjson-tricks package brings several pieces of functionality to python handling of json files: Store and load numpy arrays in human-readable format. Store and load class instances both generic and customized. Store and load date/times as a dictionary (including timezone). Preserve map order using OrderedDict. Allow for comments in json files by starting lines with #. Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, ...",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "eborisch",
"github": "eborisch",
"ports_count": 220
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-15",
"py37-setuptools",
"py37-wheel",
"py37-build",
"py37-installer"
]
},
{
"type": "lib",
"ports": [
"python37"
]
},
{
"type": "test",
"ports": [
"py37-numpy",
"py37-pandas",
"py37-pytest",
"py37-tz"
]
}
],
"depends_on": [
{
"type": "run",
"ports": [
"py37-gpilab-framework"
]
}
]
},
{
"name": "py37-jug",
"portdir": "python/py-jug",
"version": "2.2.3",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://jug.readthedocs.io/",
"description": "A Task Based Parallelization Framework",
"long_description": "A Task Based Parallelization Framework",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-wheel",
"py37-installer",
"clang-15",
"py37-setuptools",
"py37-build"
]
},
{
"type": "lib",
"ports": [
"py37-setuptools",
"python37"
]
}
],
"depends_on": []
},
{
"name": "py37-jupyter",
"portdir": "python/py-jupyter",
"version": "1.0.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://jupyter.org",
"description": "Web application for interactive data science and scientific computing.",
"long_description": "Web application for interactive data science and scientific computing.",
"active": false,
"categories": [
"devel",
"science",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [
"qtconsole"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16"
]
},
{
"type": "lib",
"ports": [
"py37-ipykernel",
"py37-ipywidgets",
"py37-jupyter_console",
"py37-jupyter_core",
"py37-nbconvert",
"py37-notebook",
"python37"
]
},
{
"type": "run",
"ports": [
"jupyter_select"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-vega"
]
},
{
"type": "run",
"ports": [
"py37-jfricas"
]
},
{
"type": "test",
"ports": [
"py37-tensorflow-datasets"
]
}
]
},
{
"name": "py37-jupyter_client",
"portdir": "python/py-jupyter_client",
"version": "7.3.4",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://jupyter.org",
"description": "Jupyter protocol implementation and client libraries.",
"long_description": "Jupyter protocol implementation and client libraries.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-setuptools",
"py37-build",
"py37-hatchling",
"py37-installer",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"py37-tornado",
"python37",
"py37-zmq",
"py37-traitlets",
"py37-dateutil",
"py37-entrypoints",
"py37-jupyter_core",
"py37-nest_asyncio"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-notebook",
"py37-jupyter_console",
"py37-jupyter_server",
"py37-nbclient",
"py37-qtconsole",
"py37-spyder-kernels-devel",
"py37-ipyparallel",
"py37-spyder-kernels",
"py37-ipykernel"
]
},
{
"type": "run",
"ports": [
"py37-nbval"
]
}
]
},
{
"name": "py37-jupyter_console",
"portdir": "python/py-jupyter_console",
"version": "6.4.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://jupyter.org/",
"description": "Jupyter terminal console.",
"long_description": "Jupyter terminal console.",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-setuptools",
"py37-wheel",
"py37-build",
"py37-installer",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"py37-pygments",
"python37",
"py37-setuptools",
"py37-ipykernel",
"py37-ipython",
"py37-jupyter_client",
"py37-prompt_toolkit"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-jupyter"
]
}
]
},
{
"name": "py37-jupyter_core",
"portdir": "python/py-jupyter_core",
"version": "5.2.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://jupyter.org",
"description": "Jupyter core package.",
"long_description": "Jupyter core package.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-build",
"py37-hatchling",
"py37-installer",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"py37-traitlets",
"py37-platformdirs",
"python37"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-ipykernel",
"py37-jupyter",
"py37-jupyter_client",
"py37-jupyter_server",
"py37-jupyterlab",
"py37-nbconvert",
"py37-nbformat",
"py37-qtconsole",
"py37-notebook"
]
}
]
},
{
"name": "py37-jupyterlab",
"portdir": "python/py-jupyterlab",
"version": "3.0.13",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://jupyter.org/",
"description": "Next-generation web-based notebook environment for interactive computing.",
"long_description": "JupyterLab enables you to work with documents and activities such as Jupyter notebooks, text editors, terminals, and custom components in a flexible, integrated, and extensible manner.",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-jupyter_packaging",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"py37-jinja2",
"py37-jupyter_core",
"py37-jupyter_packaging",
"py37-jupyter_server",
"python37",
"py37-nbclassic",
"py37-packaging",
"py37-setuptools",
"py37-tornado",
"py37-jupyterlab_server",
"py37-ipython"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-jupyterlab_widgets",
"py37-jupytext",
"py37-plotly"
]
}
]
},
{
"name": "py37-jupyterlab_launcher",
"portdir": "python/py-jupyterlab_launcher",
"version": "0.13.1",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": "py37-jupyterlab_server",
"homepage": "https://jupyter.org/",
"description": "Launch an application built using JupyterLab.",
"long_description": "Launch an application built using JupyterLab.",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-9.0"
]
},
{
"type": "lib",
"ports": [
null
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py-jupyterlab_launcher"
]
}
]
},
{
"name": "py37-jupyterlab_pygments",
"portdir": "python/py-jupyterlab_pygments",
"version": "0.1.2",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://jupyter.org/",
"description": "JupyterLab Pygments Theme",
"long_description": "JupyterLab Pygments Theme",
"active": false,
"categories": [
"textproc",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-wheel",
"py37-installer",
"clang-16",
"py37-setuptools",
"py37-build"
]
},
{
"type": "lib",
"ports": [
"py37-pygments",
"python37"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-nbconvert"
]
}
]
},
{
"name": "py37-jupyterlab_server",
"portdir": "python/py-jupyterlab_server",
"version": "2.4.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://jupyter.org/",
"description": "This package is used to launch an application built using JupyterLab.",
"long_description": "This package is used to launch an application built using JupyterLab.",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-setuptools",
"py37-wheel",
"py37-build",
"py37-installer",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"py37-jupyter_server",
"python37",
"py37-requests",
"py37-packaging",
"py37-babel",
"py37-jinja2",
"py37-json5",
"py37-jsonschema"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-jupyterlab"
]
}
]
},
{
"name": "py37-jupyterlab_widgets",
"portdir": "python/py-jupyterlab_widgets",
"version": "1.0.2",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/jupyter-widgets/ipywidgets",
"description": "A JupyterLab 3.0 extension for Jupyter/IPython widgets.",
"long_description": "A JupyterLab 3.0 extension for Jupyter/IPython widgets.",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-jupyter_packaging",
"py37-setuptools",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"python37",
"py37-jupyterlab"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-ipywidgets"
]
}
]
},
{
"name": "py37-jupyter_packaging",
"portdir": "python/py-jupyter_packaging",
"version": "0.12.3",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://jupyter.org/",
"description": "Utilities for making Python packages with and without accompanying JavaScript packages.",
"long_description": "Utilities for making Python packages with and without accompanying JavaScript packages.",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-build",
"py37-hatchling",
"py37-installer",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"py37-tomlkit",
"python37",
"py37-wheel",
"py37-deprecation",
"py37-packaging",
"py37-setuptools"
]
}
],
"depends_on": [
{
"type": "build",
"ports": [
"py37-jupyterlab_widgets",
"py37-notebook",
"py37-jupyterlab",
"py37-pyviz_comms",
"py37-ipyparallel",
"py37-ipympl"
]
},
{
"type": "lib",
"ports": [
"py37-jupyterlab"
]
}
]
},
{
"name": "py37-jupyter_server",
"portdir": "python/py-jupyter_server",
"version": "1.6.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://jupyter.org/",
"description": "The Jupyter Server provides the backend for Jupyter web applications.",
"long_description": "The Jupyter Server provides the backend for Jupyter web applications.",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-setuptools",
"py37-wheel",
"py37-build",
"py37-installer",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"py37-jupyter_client",
"py37-jupyter_core",
"py37-nbconvert",
"py37-nbformat",
"py37-prometheus_client",
"python37",
"py37-setuptools",
"py37-terminado",
"py37-tornado",
"py37-traitlets",
"py37-zmq",
"py37-send2trash",
"py37-anyio",
"py37-argon2-cffi",
"py37-ipython_genutils",
"py37-jinja2"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-jupyterlab",
"py37-jupyterlab_server",
"py37-nbclassic"
]
}
]
},
{
"name": "py37-jupyter_sphinx",
"portdir": "python/py-jupyter_sphinx",
"version": "0.4.0",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/jupyter/jupyter-sphinx/",
"description": "Jupyter Sphinx Extensions",
"long_description": "Jupyter Sphinx Extensions",
"active": false,
"categories": [
"devel",
"textproc",
"python"
],
"maintainers": [
{
"name": "reneeotten",
"github": "reneeotten",
"ports_count": 2108
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-setuptools",
"clang-15"
]
},
{
"type": "lib",
"ports": [
"py37-ipywidgets",
"py37-nbconvert",
"python37",
"py37-sphinx",
"py37-nbformat",
"py37-ipython"
]
}
],
"depends_on": []
},
{
"name": "py37-jupytext",
"portdir": "python/py-jupytext",
"version": "1.15.1",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/mwouts/jupytext",
"description": "Jupyter Notebooks as Markdown Documents, Julia, Python or R Scripts",
"long_description": "Jupytext can save Jupyter notebooks as Markdown and R Markdown documents and Scripts in many languages. It can also convert these documents **into** Jupyter Notebooks, allowing you to synchronize content in both directions.",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "jjstickel",
"github": "jjstickel",
"ports_count": 169
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-15"
]
},
{
"type": "lib",
"ports": [
"py37-jupyterlab",
"py37-markdown-it-py",
"py37-nbformat",
"python37",
"py37-toml",
"py37-yaml",
"py37-setuptools"
]
}
],
"depends_on": []
},
{
"name": "py37-jwt",
"portdir": "python/py-jwt",
"version": "2.3.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/jpadilla/pyjwt",
"description": "JSON Web Token implementation in Python",
"long_description": "JSON Web Token implementation in Python",
"active": false,
"categories": [
"security",
"python"
],
"maintainers": [
{
"name": "petr",
"github": "petrrr",
"ports_count": 611
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-setuptools",
"clang-14"
]
},
{
"type": "lib",
"ports": [
"python37"
]
},
{
"type": "test",
"ports": [
"py37-pytest"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-twilio",
"py37-oauthlib"
]
},
{
"type": "run",
"ports": [
"py37-pygithub"
]
}
]
},
{
"name": "py37-kaitaistruct",
"portdir": "python/py-kaitaistruct",
"version": "0.9",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://kaitai.io",
"description": "Kaitai Struct declarative parser generator for binary data runtime library for Python",
"long_description": "Kaitai Struct declarative parser generator for binary data runtime library for Python",
"active": false,
"categories": [
"python"
],
"maintainers": [],
"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-mitmproxy"
]
}
]
},
{
"name": "py37-kaptan",
"portdir": "python/py-kaptan",
"version": "0.5.12",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/emre/kaptan",
"description": "Configuration parser.",
"long_description": "Configuration parser with dict, JSON, YAML, .ini and python file handlers.",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "egorenar-dev",
"github": "egorenar",
"ports_count": 35
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-build",
"py37-installer",
"clang-16",
"py37-setuptools",
"py37-wheel"
]
},
{
"type": "lib",
"ports": [
"python37",
"py37-setuptools"
]
},
{
"type": "run",
"ports": [
"py37-yaml"
]
},
{
"type": "test",
"ports": [
"py37-pytest"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-tmuxp"
]
}
]
},
{
"name": "py37-kapteyn",
"portdir": "python/py-kapteyn",
"version": "3.0",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://www.astro.rug.nl/software/kapteyn/",
"description": "The Kapteyn Package",
"long_description": "The Kapteyn Package is a collection of Python modules and applications developed by the computer group of the Kapteyn Astronomical Institute, University of Groningen, The Netherlands. The purpose of the package is to provide tools for the development of astronomical applications with Python.",
"active": false,
"categories": [
"science",
"python"
],
"maintainers": [],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"py37-pythran",
"clang-9.0",
"py37-cython",
"py37-setuptools"
]
},
{
"type": "lib",
"ports": [
"python37",
"py37-astropy",
"py37-numpy",
"wcslib"
]
}
],
"depends_on": []
},
{
"name": "py37-kcs11",
"portdir": "python/py-kcs11",
"version": "1.5.10",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/LudovicRousseau/PyKCS11",
"description": "PKCS11 wrapper for Python",
"long_description": "PyKCS11 let you access to almost all PKCS#11 functions and data types using any PKCS#11 library, such as the various modules supplied by smartcard vendors.",
"active": false,
"categories": [
"python"
],
"maintainers": [],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"swig-python",
"py37-setuptools",
"clang-13"
]
},
{
"type": "lib",
"ports": [
"python37"
]
}
],
"depends_on": []
},
{
"name": "py37-keras",
"portdir": "python/py-keras",
"version": "2.9.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/keras-team/keras",
"description": "Deep Learning library for Theano and TensorFlow",
"long_description": "Deep Learning library for Theano and TensorFlow",
"active": false,
"categories": [
"devel",
"math",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-build",
"clang-14",
"py37-installer"
]
},
{
"type": "lib",
"ports": [
"py37-keras_preprocessing",
"py37-numpy",
"python37",
"py37-six",
"py37-yaml",
"py37-scipy",
"py37-h5py",
"py37-keras_applications"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-tensorflow",
"py37-tensorflow1"
]
}
]
},
{
"name": "py37-keras2onnx",
"portdir": "python/py-keras2onnx",
"version": "1.7.0",
"license": "Apache-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/onnx/keras-onnx",
"description": "Converts Machine Learning models to ONNX for use in Windows ML",
"long_description": "The keras2onnx model converter enables users to convert Keras models into the ONNX model format. Initially, the Keras converter was developed in the project onnxmltools. keras2onnx converter development was moved into an independent repository to support more kinds of Keras models and reduce the complexity of mixing multiple converters.",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-14"
]
},
{
"type": "lib",
"ports": [
"py37-setuptools",
"python37"
]
},
{
"type": "run",
"ports": [
"py37-onnxconverter-common",
"py37-protobuf3",
"py37-onnx",
"py37-fire",
"py37-numpy"
]
},
{
"type": "test",
"ports": [
"py37-pytest"
]
}
],
"depends_on": []
},
{
"name": "py37-keras_applications",
"portdir": "python/py-keras_applications",
"version": "1.0.8",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/keras-team/keras-applications",
"description": "Keras Applications is the applications module of the Keras deep learning library.",
"long_description": "Keras Applications is the applications module of the Keras deep learning library.",
"active": false,
"categories": [
"devel",
"math",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-setuptools",
"clang-14"
]
},
{
"type": "lib",
"ports": [
"python37",
"py37-numpy",
"py37-scipy",
"py37-six"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-keras"
]
}
]
},
{
"name": "py37-keras_preprocessing",
"portdir": "python/py-keras_preprocessing",
"version": "1.1.2",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/keras-team/keras-preprocessing",
"description": "Keras Preprocessing is the data preprocessing and data augmentation module of the Keras deep learning library.",
"long_description": "Keras Preprocessing is the data preprocessing and data augmentation module of the Keras deep learning library.",
"active": false,
"categories": [
"devel",
"math",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-setuptools",
"clang-14"
]
},
{
"type": "lib",
"ports": [
"python37",
"py37-h5py",
"py37-numpy"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-keras"
]
}
]
},
{
"name": "py37-keyring",
"portdir": "python/py-keyring",
"version": "24.1.1",
"license": "(MIT or PSF)",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/jaraco/keyring",
"description": "Python interface to access the system keyring service",
"long_description": "The Python keyring lib provides a easy way to access the system keyring service from python. It can be used in any application that needs safe password storage. The OSXKeychain keyring service supports the Keychain service in Mac OS X.",
"active": false,
"categories": [
"security",
"python"
],
"maintainers": [
{
"name": "reneeotten",
"github": "reneeotten",
"ports_count": 2108
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"py37-wheel",
"py37-build",
"py37-installer",
"py37-setuptools",
"py37-setuptools_scm"
]
},
{
"type": "lib",
"ports": [
"py37-importlib-metadata",
"py37-jaraco.classes",
"python37"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-astroquery",
"py37-gwpy",
"py37-urlwatch"
]
},
{
"type": "run",
"ports": [
"py37-spyder",
"py37-spyder-devel"
]
}
]
},
{
"name": "py37-keystoneauth1",
"portdir": "python/py-keystoneauth1",
"version": "5.2.1",
"license": "Apache-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://docs.openstack.org/keystoneauth/latest/",
"description": "Tools for authenticating to an OpenStack-based cloud",
"long_description": "Tools for authenticating to an OpenStack-based cloud",
"active": false,
"categories": [
"net",
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-pbr",
"clang-15",
"py37-setuptools"
]
},
{
"type": "lib",
"ports": [
"python37"
]
},
{
"type": "run",
"ports": [
"py37-six",
"py37-stevedore",
"py37-requests",
"py37-os-service-types",
"py37-iso8601"
]
}
],
"depends_on": [
{
"type": "run",
"ports": [
"py37-cinderclient",
"py37-keystoneclient",
"py37-novaclient",
"py37-openstacksdk",
"py37-osc-lib"
]
}
]
},
{
"name": "py37-keystoneclient",
"portdir": "python/py-keystoneclient",
"version": "5.1.0",
"license": "Apache-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://docs.openstack.org/python-keystoneclient/latest/",
"description": "Client for the OpenStack Identity API",
"long_description": "Client for the OpenStack Identity API",
"active": false,
"categories": [
"net",
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-pbr",
"clang-15",
"py37-setuptools"
]
},
{
"type": "lib",
"ports": [
"python37"
]
},
{
"type": "run",
"ports": [
"py37-oslo-i18n",
"py37-oslo-serialization",
"py37-oslo-utils",
"py37-requests",
"py37-six",
"py37-stevedore",
"py37-oslo-config",
"py37-keystoneauth1",
"py37-debtcollector"
]
}
],
"depends_on": [
{
"type": "run",
"ports": [
"py37-openstackclient"
]
}
]
},
{
"name": "py37-kfac",
"portdir": "python/py-kfac",
"version": "0.2.3.20200929",
"license": "Apache-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "http://github.com/tensorflow/kfac",
"description": "K-FAC for TensorFlow",
"long_description": "K-FAC in TensorFlow is an implementation of K-FAC, an approximate second-order optimization method, in TensorFlow.",
"active": false,
"categories": [
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-setuptools",
"clang-15"
]
},
{
"type": "lib",
"ports": [
"python37"
]
},
{
"type": "run",
"ports": [
"py37-tensorflow-probability",
"py37-six",
"py37-numpy"
]
},
{
"type": "test",
"ports": [
"py37-pytest",
"py37-tabulate"
]
}
],
"depends_on": [
{
"type": "run",
"ports": [
"py37-tensor2tensor"
]
}
]
},
{
"name": "py37-kitchen",
"portdir": "python/py-kitchen",
"version": "1.2.6",
"license": "LGPL-2.1",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/fedora-infra/kitchen",
"description": "py-kitchen is a python API for commonly used snippets of code",
"long_description": "The py-kitchen module provides a python API for all sorts of little useful snippets of code that everybody ends up writing for their projects but never seem big enough to build an independent release. Use kitchen and stop cutting and pasting that code over and over.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "srirangav",
"github": "srirangav",
"ports_count": 15
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-setuptools",
"clang-14"
]
},
{
"type": "lib",
"ports": [
"python37",
"py37-chardet"
]
}
],
"depends_on": []
},
{
"name": "py37-kiwisolver",
"portdir": "python/py-kiwisolver",
"version": "1.4.5",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/nucleic/kiwi",
"description": "Kiwi is an efficient C++ implementation of the Cassowary constraint solving algorithm.",
"long_description": "Kiwi is an implementation of the algorithm based on the seminal Cassowary paper. It is not a refactoring of the original C++ solver. Kiwi has been designed from the ground up to be lightweight and fast. Kiwi ranges from 10x to 500x faster than the original Cassowary solver with typical use cases gaining a 40x improvement. Memory savings are consistently > 5x.",
"active": false,
"categories": [
"math",
"python"
],
"maintainers": [
{
"name": "reneeotten",
"github": "reneeotten",
"ports_count": 2108
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"py37-cppy",
"py37-setuptools",
"py37-setuptools_scm",
"py37-wheel",
"py37-build",
"py37-installer"
]
},
{
"type": "lib",
"ports": [
"python37"
]
},
{
"type": "test",
"ports": [
"py37-pytest"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-matplotlib",
"py37-vispy"
]
}
]
},
{
"name": "py37-klein",
"portdir": "python/py-klein",
"version": "19.6.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/twisted/klein",
"description": "A micro-framework for developing production-ready web services with Python",
"long_description": "A micro-framework for developing production-ready web services with Python",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "ijackson",
"github": "JacksonIsaac",
"ports_count": 44
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-14"
]
},
{
"type": "lib",
"ports": [
"python37",
"py37-idna",
"py37-setuptools",
"py37-twisted",
"py37-werkzeug"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-rasa-nlu"
]
}
]
},
{
"name": "py37-kombine",
"portdir": "python/py-kombine",
"version": "0.8.3",
"license": "GPL-3",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/bfarr/kombine",
"description": "An embarrassingly parallel, kernel-density-based ensemble sampler",
"long_description": "kombine is an ensemble sampler that uses a clustered kernel-density-estimate proposal density, allowing for massive parallelization and efficient sampling.",
"active": false,
"categories": [
"science",
"python"
],
"maintainers": [
{
"name": "bfarr",
"github": "bfarr",
"ports_count": 6
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-setuptools",
"clang-14"
]
},
{
"type": "lib",
"ports": [
"python37",
"py37-numpy",
"py37-scipy"
]
}
],
"depends_on": []
},
{
"name": "py37-kombu",
"portdir": "python/py-kombu",
"version": "5.0.2",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://kombu.readthedocs.org/",
"description": "AMQP Messaging Framework for Python.",
"long_description": "AMQP Messaging Framework for Python.",
"active": false,
"categories": [
"devel",
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-14"
]
},
{
"type": "lib",
"ports": [
"python37",
"py37-amqp",
"py37-importlib-metadata",
"py37-setuptools"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-celery"
]
}
]
},
{
"name": "py37-LabJackPython",
"portdir": "python/py-LabJackPython",
"version": "2.0.4",
"license": "MIT and X11",
"platforms": "{darwin any}",
"epoch": 3,
"replaced_by": null,
"homepage": "https://github.com/labjack/LabJackPython",
"description": "The LabJack Python modules for the LabJack U3, U6, UE9 and U12.",
"long_description": "The LabJack Python modules for the LabJack U3, U6, UE9 and U12.",
"active": false,
"categories": [
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-14"
]
},
{
"type": "lib",
"ports": [
"python37",
"exodriver"
]
}
],
"depends_on": []
},
{
"name": "py37-lal",
"portdir": "science/lal",
"version": "7.0.0",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://wiki.ligo.org/Computing/DASWG/LALSuite",
"description": "Python 3.7 bindings for LSC Algorithm Library",
"long_description": "LIGO Scientific Collaboration Algorithm Library containing core routines for gravitational wave data analysis. This package provides Python 3.7 bindings, modules, and scripts.",
"active": false,
"categories": [
"science",
"python"
],
"maintainers": [],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"pkgconfig",
"swig",
"swig-python",
"clang-16"
]
},
{
"type": "extract",
"ports": [
"xz"
]
},
{
"type": "lib",
"ports": [
"py37-numpy",
"py37-scipy",
"libomp",
"lal",
"py37-six",
"python37",
"py37-dateutil",
"py37-ligo-segments",
"py37-lscsoft-glue"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-lalburst",
"py37-lalframe",
"py37-lalinference",
"py37-lalinspiral",
"py37-lalmetaio",
"py37-lalpulsar",
"py37-lalsimulation"
]
}
]
},
{
"name": "py37-lalburst",
"portdir": "science/lalburst",
"version": "1.5.5",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://wiki.ligo.org/Computing/DASWG/LALSuite",
"description": "Python 3.7 bindings for LSC Algorithm Library - Burst",
"long_description": "LIGO Scientific Collaboration Algorithm Library - Burst, containing routines for burst gravitational wave data analysis. This package provides Python 3.7 bindings, modules, and scripts.",
"active": false,
"categories": [
"science",
"python"
],
"maintainers": [],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"pkgconfig",
"swig",
"swig-python",
"clang-16"
]
},
{
"type": "extract",
"ports": [
"xz"
]
},
{
"type": "lib",
"ports": [
"py37-lal",
"lalburst",
"libomp",
"py37-lalsimulation",
"py37-lalmetaio",
"python37",
"py37-lscsoft-glue",
"py37-numpy",
"py37-scipy"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-lalinference",
"py37-lalinspiral"
]
}
]
},
{
"name": "py37-lalframe",
"portdir": "science/lalframe",
"version": "1.5.1",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://wiki.ligo.org/Computing/DASWG/LALSuite",
"description": "Python 3.7 bindings for LSC Algorithm Library - Frame",
"long_description": "LIGO Scientific Collaboration Algorithm Library - Frame, containing routines for reading and writing frame files. This package provides Python 3.7 bindings, modules, and scripts.",
"active": false,
"categories": [
"science",
"python"
],
"maintainers": [],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"pkgconfig",
"clang-16",
"swig-python",
"swig"
]
},
{
"type": "extract",
"ports": [
"xz"
]
},
{
"type": "lib",
"ports": [
"libomp",
"lalframe",
"py37-lal",
"py37-numpy",
"python37"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-lalinspiral"
]
}
]
},
{
"name": "py37-lalinference",
"portdir": "science/lalinference",
"version": "2.0.3",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://wiki.ligo.org/Computing/DASWG/LALSuite",
"description": "Python 3.7 bindings for LSC Algorithm Library - Inference",
"long_description": "LIGO Scientific Collaboration Algorithm Library - Inference containing routines for Bayesian inference data analysis. This package provides Python 3.7 bindings, modules, and scripts.",
"active": false,
"categories": [
"science",
"python"
],
"maintainers": [],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"pkgconfig",
"swig",
"swig-python",
"clang-16"
]
},
{
"type": "extract",
"ports": [
"xz"
]
},
{
"type": "lib",
"ports": [
"py37-ligo-gracedb",
"py37-lscsoft-glue",
"py37-matplotlib",
"py37-numpy",
"py37-scipy",
"py37-shapely",
"libomp",
"py37-lalburst",
"lalinference",
"py37-lalinspiral",
"py37-lalmetaio",
"py37-lalpulsar",
"py37-lalsimulation",
"py37-lal",
"python37",
"py37-astropy",
"py37-h5py",
"py37-healpy"
]
}
],
"depends_on": []
},
{
"name": "py37-lalinspiral",
"portdir": "science/lalinspiral",
"version": "1.10.1",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://wiki.ligo.org/Computing/DASWG/LALSuite",
"description": "Python 3.7 bindings for LSC Algorithm Library - Inspiral",
"long_description": "LIGO Scientific Collaboration Algorithm Library - Inspiral, containing routines for compact binary gravitational wave data analysis. This package provides Python 3.7 bindings, modules, and scripts.",
"active": false,
"categories": [
"science",
"python"
],
"maintainers": [],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"pkgconfig",
"swig",
"swig-python",
"clang-16"
]
},
{
"type": "extract",
"ports": [
"xz"
]
},
{
"type": "lib",
"ports": [
"py37-lalburst",
"py37-lalframe",
"libomp",
"py37-lalmetaio",
"py37-lalsimulation",
"lalinspiral",
"python37",
"py37-lscsoft-glue",
"py37-numpy",
"py37-lal"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-lalinference"
]
}
]
},
{
"name": "py37-lalmetaio",
"portdir": "science/lalmetaio",
"version": "1.6.1",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://wiki.ligo.org/Computing/DASWG/LALSuite",
"description": "Python 3.7 bindings for LSC Algorithm Library - MetaIO",
"long_description": "LIGO Scientific Collaboration Algorithm Library - MetaIO containing routines for reading/writing LIGO_LW XML files. This package provides Python 3.7 bindings, modules, and scripts.",
"active": false,
"categories": [
"science",
"python"
],
"maintainers": [],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"pkgconfig",
"clang-16",
"swig-python",
"swig"
]
},
{
"type": "extract",
"ports": [
"xz"
]
},
{
"type": "lib",
"ports": [
"libomp",
"lalmetaio",
"py37-lal",
"py37-numpy",
"python37"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-lalburst",
"py37-lalinference",
"py37-lalinspiral"
]
}
]
},
{
"name": "py37-lalpulsar",
"portdir": "science/lalpulsar",
"version": "2.0.0",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://wiki.ligo.org/Computing/DASWG/LALSuite",
"description": "Python 3.7 bindings for LSC Algorithm Library - Pulsar",
"long_description": "LIGO Scientific Collaboration Algorithm Library - Pulsar containing routines for continuous wave gravitational data analysis. This package provides Python 3.7 bindings, modules, and scripts.",
"active": false,
"categories": [
"science",
"python"
],
"maintainers": [],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"pkgconfig",
"swig",
"swig-python",
"clang-16"
]
},
{
"type": "extract",
"ports": [
"xz"
]
},
{
"type": "lib",
"ports": [
"py37-astropy",
"py37-numpy",
"cfitsio",
"libomp",
"py37-lal",
"lalpulsar",
"libxml2",
"lal",
"python37",
"fftw-3",
"fftw-3-single",
"gsl"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-lalinference"
]
}
]
},
{
"name": "py37-lalsimulation",
"portdir": "science/lalsimulation",
"version": "2.2.0",
"license": "GPL-2+",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://wiki.ligo.org/Computing/DASWG/LALSuite",
"description": "Python 3.7 bindings for LSC Algorithm Library - Simulation",
"long_description": "LIGO Scientific Collaboration Algorithm Library - Simulation containing routines for simulation gravitational-wave waveforms and noise sources. This package provides Python 3.7 bindings, modules, and scripts.",
"active": false,
"categories": [
"science",
"python"
],
"maintainers": [],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"pkgconfig",
"clang-16",
"help2man",
"swig-python",
"swig"
]
},
{
"type": "extract",
"ports": [
"xz"
]
},
{
"type": "lib",
"ports": [
"libomp",
"lalsimulation",
"py37-lal",
"py37-numpy",
"python37"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-lalburst",
"py37-lalinference",
"py37-lalinspiral"
]
}
]
},
{
"name": "py37-langcodes",
"portdir": "python/py-langcodes",
"version": "3.3.0",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/rspeer/langcodes",
"description": "Tools for labeling human languages with IETF language tags",
"long_description": "Tools for labeling human languages with IETF language tags. langcodes knows what languages are. It knows the standardized codes that refer to them, such as en for English, es for Spanish and hi for Hindi.",
"active": false,
"categories": [
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-poetry-core",
"py37-build",
"py37-installer",
"clang-16"
]
},
{
"type": "lib",
"ports": [
"python37"
]
}
],
"depends_on": []
},
{
"name": "py37-langid",
"portdir": "python/py-langid",
"version": "20170714-1.16",
"license": "BSD",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/saffsd/langid.py",
"description": "Stand-alone language identification system",
"long_description": "Stand-alone language identification system",
"active": false,
"categories": [
"textproc",
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-14"
]
},
{
"type": "lib",
"ports": [
"python37",
"py37-numpy",
"py37-setuptools"
]
}
],
"depends_on": []
},
{
"name": "py37-language-server",
"portdir": "python/py-language-server",
"version": "0.36.2",
"license": "MIT",
"platforms": "darwin",
"epoch": 0,
"replaced_by": "py37-python-lsp-server",
"homepage": "https://www.macports.org",
"description": "Obsolete port, replaced by py37-python-lsp-server",
"long_description": "This port has been replaced by py37-python-lsp-server.",
"active": false,
"categories": [
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"clang-13"
]
},
{
"type": "extract",
"ports": [
null
]
},
{
"type": "fetch",
"ports": [
null
]
},
{
"type": "lib",
"ports": [
null
]
},
{
"type": "patch",
"ports": [
null
]
},
{
"type": "run",
"ports": [
null
]
},
{
"type": "test",
"ports": [
null
]
}
],
"depends_on": []
},
{
"name": "py37-last",
"portdir": "python/py-last",
"version": "5.1.0",
"license": "Apache-2",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/pylast/pylast",
"description": "A Python interface to Last.fm and Libre.fm",
"long_description": "A Python interface to Last.fm and Libre.fm",
"active": false,
"categories": [
"devel",
"audio",
"python"
],
"maintainers": [
{
"name": "kirill",
"github": "catap",
"ports_count": 120
}
],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-hatch-vcs",
"py37-installer",
"py37-build",
"clang-14",
"py37-hatchling"
]
},
{
"type": "lib",
"ports": [
"python37",
"py37-httpx"
]
},
{
"type": "test",
"ports": [
"py37-flaky",
"py37-pytest",
"py37-pytest-cov",
"py37-yaml",
"py37-pytest-random-order"
]
}
],
"depends_on": []
},
{
"name": "py37-latexcodec",
"portdir": "python/py-latexcodec",
"version": "2.0.1",
"license": "MIT",
"platforms": "{darwin any}",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/mcmtroffaes/latexcodec",
"description": "A lexer and codec to work with LaTeX code in Python.",
"long_description": "A lexer and codec to work with LaTeX code in Python.",
"active": false,
"categories": [
"textproc",
"python"
],
"maintainers": [],
"variants": [],
"dependencies": [
{
"type": "build",
"ports": [
"py37-installer",
"clang-16",
"py37-setuptools",
"py37-wheel",
"py37-build"
]
},
{
"type": "lib",
"ports": [
"python37",
"py37-six"
]
},
{
"type": "test",
"ports": [
"py37-pytest"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-pybtex"
]
}
]
},
{
"name": "py37-lazy_object_proxy",
"portdir": "python/py-lazy_object_proxy",
"version": "1.9.0",
"license": "BSD",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "https://github.com/ionelmc/python-lazy-object-proxy",
"description": "A fast and thorough lazy object proxy.",
"long_description": "A fast and thorough lazy object proxy.",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "stromnov",
"github": "stromnov",
"ports_count": 2896
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"clang-16",
"py37-setuptools",
"py37-setuptools_scm",
"py37-wheel",
"py37-build",
"py37-installer"
]
},
{
"type": "lib",
"ports": [
"python37"
]
},
{
"type": "test",
"ports": [
"py37-pytest",
"py37-pytest-benchmark"
]
}
],
"depends_on": [
{
"type": "lib",
"ports": [
"py37-astroid"
]
}
]
},
{
"name": "py37-ldap",
"portdir": "python/py-ldap",
"version": "3.4.3",
"license": "PSF",
"platforms": "darwin",
"epoch": 0,
"replaced_by": null,
"homepage": "http://www.python-ldap.org/",
"description": "object-oriented api for python to access LDAP directory servers",
"long_description": "python-ldap provides an object-oriented API to access LDAP directory servers from Python programs. Mainly it wraps the OpenLDAP 2.x libs for that purpose. Additionally the package contains modules for other LDAP-related stuff (e.g. processing LDIF, LDAPURLs, LDAPv3 schema, etc.).",
"active": false,
"categories": [
"python"
],
"maintainers": [
{
"name": "mascguy",
"github": "mascguy",
"ports_count": 357
}
],
"variants": [
"universal"
],
"dependencies": [
{
"type": "build",
"ports": [
"py37-wheel",
"py37-build",
"clang-14",
"py37-installer",
"py37-setuptools"
]
},
{
"type": "lib",
"ports": [
"openldap",
"python37",
"py37-asn1",
"py37-asn1-modules"
]
},
{
"type": "test",
"ports": [
"py37-pytest"
]
}
],
"depends_on": []
}
]
}