packages: datasette-jq

{
    "info": {
        "author": "Simon Willison",
        "author_email": "",
        "bugtrack_url": null,
        "classifiers": [],
        "description": "# datasette-jq\n\n[![PyPI](https://img.shields.io/pypi/v/datasette-jq.svg)](https://pypi.org/project/datasette-jq/)\n[![CircleCI](https://circleci.com/gh/simonw/datasette-jq.svg?style=svg)](https://circleci.com/gh/simonw/datasette-jq)\n[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/datasette-jq/blob/master/LICENSE)\n\nDatasette plugin that adds custom SQL functions for executing [jq](https://stedolan.github.io/jq/) expressions against JSON values.\n\nInstall this plugin in the same environment as Datasette to enable the `jq()` SQL function.\n\nUsage:\n\n    select jq(\n        column_with_json,\n        \"{top_3: .classifiers[:3], v: .version}\"\n    )\n\nSee [the jq manual](https://stedolan.github.io/jq/manual/#Basicfilters) for full details of supported expression syntax.\n\n\n",
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        "home_page": "https://github.com/simonw/datasette-jq",
        "keywords": "",
        "license": "Apache License, Version 2.0",
        "maintainer": "",
        "maintainer_email": "",
        "name": "datasette-jq",
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        "requires_dist": [
            "datasette",
            "pyjq",
            "pytest ; extra == 'test'"
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        "requires_python": "",
        "summary": "Datasette plugin that adds custom SQL functions for executing jq expressions against JSON values",
        "version": "0.1"
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