How does Streamlit compare to Voila?

Marc · October 20, 2019, 5:56am

I wanted to add some more examples to the awesome-streamlit.org gallery and also find out how Streamlit really compares to other options like Voila.

So i’ve started implementing some examples from the Voila Gallery. I’ve started out with the interactive gaussian plot that is now available with the findings at the bottom of the page

You can find the source file here

https://raw.githubusercontent.com/MarcSkovMadsen/awesome-streamlit/master/package/awesome_streamlit/app/pages/contributions/interactive_gaussian_plot/interactive_gaussian_plot.py

I’ve tried the best I can to be objective and implement the Streamlit application with the knowledge of Streamlit I currently have. But I hope you will help me with hints and suggestions if the application or findings could be improved.

Thanks.

Marc · October 22, 2019, 1:59am

I’ve added a Country Indicators app to the gallery for comparison with Voila.

Jonathan_Rhone · November 1, 2019, 1:36pm

Hey @Marc

I updated your implementation of the Country Indicators plot here.

gist.github.com

https://gist.github.com/jrhone/7f2897c1fab3e945ce12d23c54e8cd57

country_indicators.py

from typing import Tuple

import pandas as pd
import plotly.express as px
import streamlit as st
import pathlib


DATA_LOCAL = pathlib.Path(__file__).parent / "country_indicators.csv"

This file has been truncated. show original

I removed the use of the Class, fixed an issue with caching and moved the plot below the slider to fix the jumpiness (this looks like a bug on our end by the way, looking into it)

Jonathan_Rhone · November 1, 2019, 1:51pm

@Marc Could you provide a link to the code for the Gaussian Plot? The gist link above is dead.

Marc · November 1, 2019, 5:55pm

Hi @Jonathan_Rhone

The link is

github.com

MarcSkovMadsen/awesome-streamlit/blob/master/gallery/interactive_gaussian_plot/interactive_gaussian_plot.py

"""This example is a Streamlit implementation of an interactive Gaussian plot.

The purpose of this example is to test what we can do and cannot (yet) do in Streamlit compared
to [Voila](https://github.com/voila-dashboards/voila) and
list how the development experience and the end result compares

The benchmark example from Voila is https://github.com/voila-gallery/gaussian-density

Author: Marc Skov Madsen https://github.com/marcskovmadsen

"""
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import plotly.express as px
import streamlit as st
from scipy.stats import norm


def write():

This file has been truncated. show original

Jonathan_Rhone · November 4, 2019, 1:11pm

Thanks @Marc

It looks good, didn’t see anything obvious to change.

Only regarding your comment, Cannot use plotly as it crashes, try setting the matplotlib backend to Agg as mentioned in the discussion on https://github.com/streamlit/streamlit/issues/469.

import matplotlib
matplotlib.use('Agg')

We have a fix for this coming by the way, https://github.com/streamlit/streamlit/pull/595.

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How does Streamlit compare to Voila?

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