Vue VS Shiny

Vue Reviews

1. Alan    

   CEO at Self employeed | over 1 year ago
   VUE A-Z

   I became a VUE artist, when VUE 5 was released, and eventually went up the ladder to V.15 Complete. And , where I got tired of waiting hours, to create that "Perfect picture." And , why VUE failed miserably as an animation tool. VUE, for all it's improvements and changes, was basically stuck in the 90's, and still using the archaic frame building architecture found in WINDOWS . AVI. . IF , I wanted to animate anything, IT was going to be limited, and a VERY slow process. I.E. A two minute Ocean Sim, would take days to render, and the output, at best. COOL. but, with the brutally long, render times; IT basically became an expensive, worthless tool.

   Would I still recommend this for beginners? - YES, for the simple reason, it introduces them 3-D modeling, and scene development. IT'S also a good tool for matte artists, because creating a simple PHOTO REAL background ,takes very little time.

   OVER the years, though, I found the software, was real flakey, and prone to crashing. SO, in the end, I simply got tired of the nonsense, and moved on. I USE UNREAL 5 now, and it's a totally different world. I can create, and a fully animated scene, in a matter of minutes... and in full 3D , and with pre-animated objects. IT was game changer.

   SO, final words? I would give VUE a plug , for ease of use, and stunning photo real output, but, would not be my choice for an animation solution. Just, by it's design.

   I simply had too many bad experiences with the software. I hope the company focuses more on system stability, instead of adding MORE tweaks. MY assessment of V6.I , was very mixed. IT crashed constantly, yet, eventually was stable enough to use. V.9 , compete was an amazing program, and that's where E-ON got it right. Where they got it wrong, was the product was NOT affordable for the average user, and was also a factor; in me dropping the platform.

   🏁 Competitors: Unreal Engine

   👍 Pros:    Easy to use

Shiny Reviews

Vue mentions (1)

• More of my AMIGA coverdisks magazines

  It says right there: "Play God with the ultimate landscape generator" and that's what it did. You generate a random terrain, mould it to how you want it, set the levels of trees, water, grass, type of sky etc, set the camera position, and then it would render it for you. These days there are many more options: Terragen, Vue, World Machine, World Creator, Instant Terra, Bryce. Source: almost 3 years ago

Shiny mentions (32)

• R: Introduction to Data Science

  A lighterweight alternative to renv is to use Posit Public Package Manage (https://packagemanager.posit.co/) with a pinned date. That doesn't help if you're installing packages from a mix of places, but if you're only using CRAN packages it lets you get everything as of a fixed date. And of course on the web side you have shiny (https://shiny.posit.co), which now also comes in a python flavour. - Source: Hacker News / about 2 months ago

• Reflex – Web apps in pure Python

  Sometimes the war is lost even before the battle begins. During grad school, I wrote a whole bunch of web apps entirely in R using Shiny. It was clunky as hell, but yeah, it worked. I went looking for what's up with Shiny these days and found this - https://shiny.posit.co/ So yeah, full on pivot into python. Pip install shiny. Alright! "No web development skills required. Develop web apps entirely in R I mean... - Source: Hacker News / 9 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

• A project to show off my basic R skills

  We work along side bio-statisticians and data analysts, from my experience in this world I recommend to build some plots/graphs in R based on some information you find appealing. After you have some work to show off to potential employers , learn Shiny and publish those graphs online as your portfolio. Source: about 1 year ago

• Greatest projects that you have done?

  One of the most difficult yet most fun projects I’ve done. Using Shiny to make an app, all coded in R! Source: about 1 year ago