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Chartify vs dimple: What are the differences?
Chartify : Easier chart creation in Python for data scientists, by Spotify. Consistent input data format: Spend less time transforming data to get your charts to work. All plotting functions use a consistent tidy input data format. Smart default styles: Create pretty charts with very little customization required. Flexibility: Chartify is built on top of Bokeh, so if you do need more control you can always fall back on Bokeh's API; dimple: An object-oriented API for business analytics powered by D3. The aim of dimple is to open up the power and flexibility of d3 to analysts. It aims to give a gentle learning curve and minimal code to achieve something productive. It also exposes the d3 objects so you can pick them up and run to create some really cool stuff.
Chartify and dimple belong to "Charting Libraries" category of the tech stack.
dimple is an open source tool with 2.72K GitHub stars and 575 GitHub forks. Here's a link to dimple's open source repository on GitHub.