BundlePhobia VS Plotly

BundlePhobia Reviews

Plotly Reviews

BundlePhobia mentions (50)

• JavaScript Habits That Grind My Gears

  So, before adding a dependency to your projects, ask yourself if you truly need it and check how much a package weighs. If you would like to go through cleaning up process, I wrote an article on optimizing Next.js bundle size on my private blog. - Source: dev.to / 7 months ago

• 3 online tools to use for selecting a future-proof NPM library for frontend and Nodejs projects

  🔴 https://bundlephobia.com/ - estimate a footprint, basically how many Kb will be added to your bundle when you add this dependency to your project. Those may differ a lot, try comparing say - dayjs vs momentjs ;. - Source: dev.to / 8 months ago

• Tiptap vs remirror installation sizes

  I have phobia of dependencies and package sizes, so tiptap is 62KB and remirror is 150KB. Not much difference, since difference is no in MB's. Source: 8 months ago

• Add stepper components to your React app

  External packages increase your app bundle size (you can calculate this using BundlePhobia), so adding a third-party package for every development requirement isn’t always a good choice. Also, third-party packages may not completely fulfill your design requirements and may bring features that you don’t even use. Writing your own stepper component is also an option by including only the required features. - Source: dev.to / about 1 year ago

• Selecting the Right Dependencies: A Comprehensive Practical Guide

  For web projects, there is a great tool to determine package sizes: Bundlephobia. Of course, server-side rendering and tree shaking might reduce the size, but this needs to be always verified. - Source: dev.to / about 1 year 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: 5 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: 11 months 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: 12 months 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