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@@ -10,8 +10,6 @@ As of v1.15.0 of Dash, Julia components can be generated in tandem with Python a
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#### Create beautiful, analytic applications in Julia
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🚧 Dash.jl is a work-in-progress. Feel free to test the waters and submit issues.
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Built on top of Plotly.js, React and HTTP.jl, [Dash](https://plotly.com/dash/) ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Julia code.
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## Installation
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### JSON:
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I use JSON2.jl for JSON serialization/deserialization, so in callbacks all JSON objects are `NamedTuples` rather than dictionaries. Within component properties you can use both `Dict` and `NamedTuple` for JSON objects.
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I use JSON3.jl for JSON serialization/deserialization.
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Note when declaring elements with a single properly that `layout = (title = "Test graph")` is not interpreted as a `NamedTuple` by Julia - you'll need to add a comma when declaring the layout, e.g. `layout = (title = "Test graph",)`
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@@ -174,4 +174,4 @@ Be careful - in Dashboards states came first in arguments list
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### json:
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I use JSON2 for json serialization/deserialization, so in callbacks all json objects are NamedTuples not Dicts. In component props you can use both Dicts and NamedTuples for json objects. But be careful with single property objects: `layout = (title = "Test graph")` is not interpreted as NamedTuple by Julia - you need add comma at the end `layout = (title = "Test graph",)`
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I use JSON3 for json serialization/deserialization. In component props you can use both Dicts and NamedTuples for json objects. But be careful with single property objects: `layout = (title = "Test graph")` is not interpreted as NamedTuple by Julia - you need add comma at the end `layout = (title = "Test graph",)`
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