Sharing and Deploying Streamlit apps has also become super easy with the new one-click deploying service from streamlit

Naturally, as if it wasn’t at all likely to begin with, another Trump run should make it clear to Joe Biden and the Democratic party that the Republican party certainly is not going to “see the light” and change course any time soon. Considering no one has harnessed and exploited the frustrations and anger of the right wing base more effectively than Trump in decades, it feels safe to assume that no other Republican lawmaker is going to dare cross him after 93% of their base voted for him. While some might characterize it as a sort of hostage situation in which the lawmakers are powerless to stand against him, I would tend to disagree. Rather, much like Trump has exploited the anger and frustration of the base, he has all too easily simply exploited the craven desire for politicians to stay in power. The longer we pretend as if there’s any chance the majority of his fellow politicians care about anything else, the better.

Deploying and sharing your web applications and dashboards in Panel is easy. You can display your dashboards inside Jupyter Notebooks, render it as Ipywidgets, run it from the command line, or deploy it using popular tools like Heroku, MyBinder or even other cloud platforms.

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t have less small-business-friendly pricing than its competitors, the bigger problem is that shipping is just too expensive for an economy that’s increasingly buoyed by e-commerce. Glenn Gooding, president of consulting firm iDrive Logistics, estimates that in recent years about half the packages shipped by FedEx and UPS have gone to homes rather than businesses. But during the pandemic, he says, that’s jumped to as high as 80% with rocketing e-commerce sales. This trend is only likely to grow. A Pitney Bowes survey found that the percentage of consumers who do more than half their shopping online has nearly tripled from 16% to 45% since the start of the pandemic — and 73% of new online shoppers say they enjoy it more than they expected. FedEx itself has predicted this growth rate in e-commerce in past years’ earnings reports; but the company estimated it would take three years longer to reach this level. In other words, the pandemic has been a powerful accelerant for an ongoing trend.

Plotly Dash focuses on production and enterprise dashboard creation but also offers free and open-source options in Python, R and Julia. It is the most mature option on this list.

Although Dash empowers users to build and deploy web applications without full-stack and DevOps tools in hours, it has the steepest learning curve of all the options in this article.

Voilà is primarily a native Jupyter rendering tool. However, you can create interactive reports with widgets in Jupyter notebook using Ipywidgets. You can also use Viola to render any content on Notebooks into Dashboards.

Viola and Panel serve primarily for Jupyter Notebook users, and you can combine them with any plotting libraries of your choice. Finally, use Plotly Dash for more advanced and production level dashboards.

While it is possible to work Streamlit in Jupyter notebooks, we use primarily with Python files. If your favourite data science tool is Jupyter Notebook, then Panel offers extensive support for all plotting libraries.

That is also changing with the introduction of Plotly Express — easy to use and high-level API for creating figures with Plotly Libary. I find the Plotly Express library one of my favourite data visualisation tools in Python.

Quick Jupyter notebook deployment into dashboards is the strong side of Viola but also its downside. You can make coherent Dashboards with Voilà, but that needs you to format your experiments and code in Jupyter notebooks accordingly or suppress and hide unused code and markdowns.

Since his loss to Joe Biden has only been solidified in his fruitless efforts to overturn the results of the election in his favor, it should come as a surprise to no one that Donald Trump has already begun to float the possibility of not just a media network, but another run in 2024. With Donald Trump signaling that he would leave the White House, but refusing to formally concede, it seems all but guaranteed that his intentions are indeed to run again, with some outlets reporting that he could announce a run before the end of this year. With the looming possibility of not only another four years of Trump in the near future, but four years of campaigning to get there, it seems important to discuss what that would mean not only for Republicans, but Democrats as well.

Panel is an open-source Python library that lets you create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text.

The choice of your dashboard tool depends on your project needs. Streamlit is for creating quick and versatile dashboard apps with an easy learning curve and less code. I find Streamlit the easiest and the best tool out there to create data visualisation web apps.

Viola and Panel serve primarily for Jupyter Notebook users, and you can combine them with any plotting libraries of your choice. Finally, use Plotly Dash for more advanced and production level dashboards.

What I like about streamlit is that it has the shortest learning curve of all Python Dashboard creating tools in this list. It offers simple API with excellent documentation and lets you develop applications with less code in pure python.