Material Tailwind Reviews

Plotly Reviews

Material Tailwind mentions (6)

• How to Create an Awesome Landing Page 💻 📱 with Tailwind CSS(Step-by-Step guide)

  Material Tailwind takes the essence of Tailwind CSS and offers a suite of pre-built, elegant components that adhere to modern design standards. It's like having a set of building blocks, ready to be assembled, but with the flexibility to be customized on the go. Developers can instantly implement components like buttons, modals, and cards with Material Tailwind, skipping the foundational design steps. - Source: dev.to / 7 months ago

• Google Docs with Next.js

  Material Tailwind is an easy to use components library for Tailwind CSS and Material Design. It features multiple React components, all written with Tailwind CSS classes and Material Design guidelines. - Source: dev.to / over 2 years ago

• Can I style material UI using tailwind css?

  Could take a look at this. https://material-tailwind.com/. Source: over 2 years ago

• [Question] any alternatives to tailwind UI ?

  There is also https://material-tailwind.com/ , but I didn't try it and it's still new. Source: almost 3 years ago

• Material Tailwind – New Framework for Web Developers

  OK, are you looking for a simple, easy, and quick way to build a better and beautiful user interface? If the answer is YES then you should take a look over Material Tailwind. Read this article to find out why. - Source: dev.to / about 3 years ago

Plotly mentions (29)

• Python equivalent to power bi/power query?

  For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 6 months ago

• Junior Developer asked to make Saaas in first month.

  If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year ago

• PSA: You don't need fancy stuff to do good work.

  Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago

• Wait, but I thought they were the same thing?

  I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago

• Storing your data in a Plotly Dash data dashboard

  Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago