Business License fee is expensive compared to available alternatives
@JayaDattasaiKala
29 күн бұрын
Theres a lot of room for custom widgets to be developed, this will take a lot for taipy to compete with streamlit ; generally streamlited apps gets transformed into either reactified or any popular frontend fw with django or fast api as backend for becoming prod ready I have explored many class A frameworks from python, none of them provides a excel /table copy paste directly into browser dataframe editorwidget other than streamlit.
@kubectlgetpo
20 күн бұрын
Streamlit is not designed for production. It is exactly fir prototyping, fail fast, iterate fast. Once it sticks, go proper full stack!
@maruthiprithivi
28 күн бұрын
Very nicely structured content. Loved that you kept it to the point and didn't add fillers to drag out the duration of the video. High production quality!!
@GamingCritique1
Ай бұрын
Nice! This makes it so much easier
@coding_wiz
Ай бұрын
will try it for one of my dashboards. Very nice tutorial.
@vishwastyagi8390
Ай бұрын
Great ..we’ll try this Thanks
@AlonAvramson
Ай бұрын
Looks great ! thank you!
@gagansingh3481
Ай бұрын
I love streamlit easy to understand without any such hard coding required , client needs output Designer app se koi Lena Dena Hota use
@DataSciencewithHarshit
Ай бұрын
Agreed, I also love Streamlit. In fact, comparing it with Streamlit does say a lot about Streamlit. But if I think beyond those use cases, that’s when I will look for an alternative.
@pranaamerta8015
Ай бұрын
How's this compared to Shiny for Python
@interspacer4277
Ай бұрын
What about vs. Anvil?
@irapk79
Ай бұрын
NIce, very nice , CRUD possible ?
@DataSciencewithHarshit
Ай бұрын
Yes, check their gallery for more examples. You will have to hitch it up with a DB for CRUD.
@irapk79
Ай бұрын
@@DataSciencewithHarshit Awesome ,thank you
@AhmedIsam
Ай бұрын
There is a shameless cheating @ <a href="#" class="seekto" data-time="572">9:32</a> what the hell is Decimator object that reduces number of points from 1 million to 500 !!! Why there is no equivalent decimation in streamlit?
@DataSciencewithHarshit
Ай бұрын
This is already explained in the video, watch till the end. The whole point is the support for such algos within Taipy.
@AhmedIsam
Ай бұрын
@@DataSciencewithHarshit Thanks for the reply, but that decimation support is literally a one-liner. That has nothing to do with web framework. Here is the equivalent cheat in streamlit: ```python df = df.iloc[::len(df)//500][:500] # Decimation ``` I tried it out, streamlit is reduced to 1 second delay, still not as fast as taipy. You can still prove your point while being fair, don't make streamlit plot 1 million points and decimate the task to 500 points in taipy.
@AhmedIsam
Ай бұрын
@DataSciencewithHarshit I think it just clicked why Decimator object is a thing. My one-line python equivalent still means that there is round-trip to the backend to resove the reaction to user input. While the decimator object wraps a javascript solution that is front-end resolved, so, no frontend-backend-frontend trip is involved, making it faster. I will consider this solution for data intensive apps.
@MohanKumar-gj9th
Ай бұрын
Streamlit is free though
@AliAlias
Ай бұрын
Streamlit more easy to write code
@KevinKreger
Ай бұрын
But flask is not for production.
@DataSciencewithHarshit
Ай бұрын
Have you checked which all companies use Flask in production?
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