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extensions.json

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],
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"tags": []
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},
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{
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"name": "stock-report-jupyter",
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"title": "Stock Report using Jupyter",
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"description": "This stock report is generated using Python and Jupyter Notebook. Stock prices are populated from Quandl to generate a stock performance summary intended to run daily after market close.",
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"homepage": "https://github.com/posit-dev/connect-extensions/tree/main/extensions/stock-report-jupyter",
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"latestVersion": {
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"version": "1.0.0",
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"released": "2025-05-27T21:38:44Z",
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"url": "https://github.com/posit-dev/connect-extensions/releases/download/stock-report-jupyter%40v1.0.0/stock-report-jupyter.tar.gz",
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"minimumConnectVersion": "2025.04.0",
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"requiredEnvironment": {
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"python": {
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"requires": "~=3.9"
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}
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}
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},
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"versions": [
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{
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"version": "1.0.0",
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"released": "2025-05-27T21:38:44Z",
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"url": "https://github.com/posit-dev/connect-extensions/releases/download/stock-report-jupyter%40v1.0.0/stock-report-jupyter.tar.gz",
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"minimumConnectVersion": "2025.04.0",
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"requiredEnvironment": {
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"python": {
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"requires": "~=3.9"
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}
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}
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}
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],
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"tags": [],
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"category": "example"
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},
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{
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"name": "top-5-income-share-bokeh",
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"title": "Top 5% income share using Bokeh",

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