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I use it in all my current projects. It's easy to start and very customisable. Love it so much! I improved the speed of development 2x times by using Tailwind.
Based on our record, Tailwind CSS seems to be a lot more popular than statsmodels. While we know about 1025 links to Tailwind CSS, we've tracked only 4 mentions of statsmodels. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
For UI, I use Tailwind CSS to avoid context-switching and write styles directly in the markup. For complex components like dialogs, forms, or data tables, shadcn/ui is my go-to. It's not a library you install; you use its CLI to copy the component's code directly into your project. This gives you full ownership of the code, making customization straightforward. - Source: dev.to / 2 days ago
Tailwind CSS Drop it into your custom theme and never look back. - Source: dev.to / about 1 month ago
Tools: V0 by Vercel, shadcn/ui, React, Tailwind CSS V0 turns natural language prompts into ready-to-use React + Tailwind UI code. Ask for โa responsive SaaS dashboard with a dark theme and collapsible sidebarโ and you get production-ready code instantly, accessible, tweakable, and not locked into rigid templates. - Source: dev.to / about 2 months ago
Want to really dive in? Check out the official docs at https://tailwindcss.com or join the thriving community on Discord and Twitter. - Source: dev.to / about 2 months ago
The form is not looking that good. So let's add our own styles and make it beautiful. We will use tailwindcss for this. - Source: dev.to / 2 months ago
I reckon you're more likely to get a good response on their Github page than here. Unless a dev happens to see this post. Source: almost 3 years ago
Since you are using python, pandas, scikit-learn, scipy, and statsmodels are what you are looking for. Source: about 3 years ago
In case you're really worried about cold start latency and your application load shows high variance in the number of concurrent requests, you might want to get a bit fancier. You could use time-series forecasting to anticipate how many containers should be warmed at each point in time. StatsModels is an open-source project that offers the most common algorithms for working with time-series. Here's a good... - Source: dev.to / about 4 years ago
Can't you get a student discount for Stata? R would definitely be able to handle everything. For Python, have a look through the statsmodel package https://github.com/statsmodels/statsmodels. Source: over 4 years ago
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
Flutter - Build beautiful native apps in record time ๐
React - A JavaScript library for building user interfaces
python wiki - Component Libraries
Tailwind UI - Beautiful UI components by the creators of Tailwind CSS.
Ionic - Ionic is a cross-platform mobile development stack for building performant apps on all platforms with open web technologies.