MINEO is the platform to explore your data, build, deploy and share data apps based on supercharged Python Notebooks powered by Code, No-code & AI.
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MINEO bridges the gap between data scientists and end users by offering an integrated platform that eliminates the need for rewriting data analysis and applications in traditional BI tools like PowerBI, QlikView, or Tableau.
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Example notebooks are included in the repo and can be previewed using nbviewer:. Source: over 1 year ago
Nbviewer (https://nbviewer.org/): very easy to use for smaller jupyter notebook that does not require heavy rendering. Source: over 1 year ago
Nbconvert renders everything exactly as it looks in your notebook app into a read-only HTML version and is what GitHub uses for notebooks. Interactive plots from Bokeh, Holoviews, etc can still work if you trust the JS, and since editing notebooks while showing them during a meeting usually doesn't go well, read-only is probably good enough (eager to hear feedback on this point though). The nice thing is that... Source: over 1 year ago
Just as a heads up, I used plotly to generate a lot of the charts, so you'll need to view it from an nbviewer like nbviewer.org. Source: about 2 years ago
I used a lot of plotly not knowing that Github wouldn't show it, so you'll need notebook viewer like nbviewer.org to see some of the charts. Source: about 2 years ago
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