Python Data Visualization Transcripts
Chapter: Dash
Lecture: Conclusion

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0:00 We've covered a bunch of content with plotly. So let me talk about some of the pros and cons. One of the real benefits is that you use plotly
0:09 expressed. So you can start basic and advance up to using dash when you need
0:14 to. There's support for many widget types so you can control the input and act on it in many complex ways.
0:23 There are a bunch of options for customization, both the actual output and the look and feel.
0:28 And there is an open source and commercial offering if you're interested from a cons perspective it can be verbose for simple apps.
0:36 I like streamlit because I think it's a little less verbose to just get started A multi user deployment is going to be more complex.
0:44 But to be fair, most of the tools we've talked about would be complex to deploy in this type of environment. So where does that leave us with dash?
0:53 I think it may be overkill for very simple exploratory analysis. So you shouldn't start there but if you do choose to invest,
1:00 the time to learn is really gonna reward you because there's a lot of things you can do with the components and pretty much the sky's the limit.
1:07 And if you do get to the point where you need to deploy something in your
1:11 organization. There is that enterprise level deployment option with a commercial organization backing it that
1:17 is available for you that may not be available in some of the other pure open source to us.

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