HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept
{
"count": 40948,
"next": "https://ports.macports.org/api/v1/autocomplete/port/?format=api&page=466",
"previous": "https://ports.macports.org/api/v1/autocomplete/port/?format=api&page=464",
"results": [
{
"name": "py310-jdcal",
"description": "Julian dates from proleptic Gregorian and Julian calendars"
},
{
"name": "py310-jedi",
"description": "An autocompletion tool for Python that can be used for text editors."
},
{
"name": "py310-jellyfish",
"description": "A library for doing approximate and phonetic matching of strings."
},
{
"name": "py310-jfricas",
"description": "FriCAS Jupyter Kernel."
},
{
"name": "py310-jinja2",
"description": "Python based sandboxed template engine"
},
{
"name": "py310-jinja2-time",
"description": "Jinja2 Extension for Dates and Times"
},
{
"name": "py310-jmespath",
"description": "JSON Matching Expressions"
},
{
"name": "py310-joblib",
"description": "Lightweight pipelining: using Python functions as pipeline jobs."
},
{
"name": "py310-josepy",
"description": "JOSE protocol implementation in Python using cryptography"
},
{
"name": "py310-jplephem",
"description": "The package is a Python implementation of the math that standard JPL ephemerides use to predict raw (x,y,z) planetary positions."
},
{
"name": "py310-jschema_to_python",
"description": "Generate source code for Python classes from a JSON schema."
},
{
"name": "py310-json-rpc",
"description": "JSON-RPC 1/2 transport implementation"
},
{
"name": "py310-json-tricks",
"description": "The json-tricks exentds handling of json files."
},
{
"name": "py310-json5",
"description": "A Python implementation of the JSON5 data format"
},
{
"name": "py310-jsonlines",
"description": "jsonlines is a Python library to simplify working with jsonlines and ndjson data."
},
{
"name": "py310-jsonnet",
"description": "The data templating language"
},
{
"name": "py310-jsonpatch",
"description": "Apply JSON-Patches (RFC 6902)"
},
{
"name": "py310-jsonpath-rw",
"description": "A robust and significantly extended implementation of JSONPath for Python, with a clear AST for metaprogramming."
},
{
"name": "py310-jsonpickle",
"description": "Python library for serializing any arbitrary object graph into JSON."
},
{
"name": "py310-jsonpointer",
"description": "Identify specific nodes in a JSON document (RFC 6901)"
},
{
"name": "py310-jsonschema",
"description": "An implementation of JSON Schema validation for Python."
},
{
"name": "py310-jsonschema-format-nongpl",
"description": "An implementation of JSON Schema validation for Python."
},
{
"name": "py310-jsonschema-specifications",
"description": "JSON support files from the JSON Schema Specifications"
},
{
"name": "py310-jug",
"description": "A Task Based Parallelization Framework"
},
{
"name": "py310-junit-xml",
"description": "Creates JUnit XML test result documents that can be read by tools such as Jenkins"
},
{
"name": "py310-jupyter",
"description": "Web application for interactive data science and scientific computing."
},
{
"name": "py310-jupyter-lsp",
"description": "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server."
},
{
"name": "py310-jupyter_client",
"description": "Jupyter protocol implementation and client libraries."
},
{
"name": "py310-jupyter_console",
"description": "Jupyter terminal console."
},
{
"name": "py310-jupyter_core",
"description": "Jupyter core package."
},
{
"name": "py310-jupyter_events",
"description": "Jupyter Event System library."
},
{
"name": "py310-jupyter_packaging",
"description": "Utilities for making Python packages with and without accompanying JavaScript packages."
},
{
"name": "py310-jupyter_server",
"description": "The Jupyter Server provides the backend for Jupyter web applications."
},
{
"name": "py310-jupyter_server_terminals",
"description": "A Jupyter Server Extension Providing Terminals."
},
{
"name": "py310-jupyter_sphinx",
"description": "Jupyter Sphinx Extensions"
},
{
"name": "py310-jupyterlab",
"description": "Next-generation web-based notebook environment for interactive computing."
},
{
"name": "py310-jupyterlab_pygments",
"description": "JupyterLab Pygments Theme"
},
{
"name": "py310-jupyterlab_server",
"description": "This package is used to launch an application built using JupyterLab."
},
{
"name": "py310-jupyterlab_widgets",
"description": "Jupyter interactive widgets for JupyterLab"
},
{
"name": "py310-jupyterthemes",
"description": "Select and install a Jupyter notebook theme"
},
{
"name": "py310-jupytext",
"description": "Jupyter Notebooks as Markdown Documents, Julia, Python or R Scripts"
},
{
"name": "py310-jwt",
"description": "JSON Web Token implementation in Python"
},
{
"name": "py310-kaitaistruct",
"description": "Kaitai Struct declarative parser generator for binary data runtime library for Python"
},
{
"name": "py310-kaptan",
"description": "Configuration parser."
},
{
"name": "py310-kapteyn",
"description": "The Kapteyn Package"
},
{
"name": "py310-kcs11",
"description": "PKCS11 wrapper for Python"
},
{
"name": "py310-keep",
"description": "A Meta CLI toolkit"
},
{
"name": "py310-keras",
"description": "Deep Learning library for Theano and TensorFlow"
},
{
"name": "py310-keras2onnx",
"description": "Converts Machine Learning models to ONNX for use in Windows ML"
},
{
"name": "py310-keras_applications",
"description": "Keras Applications is the applications module of the Keras deep learning library."
}
]
}