Blackfire.io VS Shiny

Not heard of blackfire.io, I mainly use lighthouse, screamingfrog and CRUX data :D. Source: about 1 year ago

Do you have XP with alternatives to blackfire.io? It may helps, but sounds a little expensive for evaluating performance issues. I found also MySQLTuner which is free (of course it only helps with the database). Source: over 1 year ago

Go get a subscription to blackfire.io and profile your application. I guarantee you that your queries to the DB are shit and not using indices. Redis will just mask the issue. You probably also have a bunch of PHP code being ran in loops. Source: over 1 year ago

Although the connection with the API should no longer cause the trouble, we knew that this was the most compute-heavy part of the platform. So the fewer requests are sent to that API, the better the website performance would be. We used Blackfire.io to check how often the web app uses the API and we got interesting results. We noticed that the homepage, the most frequently visited page, used the API twice per each... - Source: dev.to / almost 2 years ago

Nice article; skimming over it, it seems exhaustive and well-written. But nowadays, I'd generally recommend blackfire.io over XHProf. Yes, it's a (mostly) closed source SAAS platform, and the free tier only offers the most absolutely basic of tools, but by the time performance really starts to matter on your wordpress site, I don't think ~$30 a month is a dealbreaker. Installation is easier, the visualisation... Source: almost 2 years ago

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 / 2 months ago

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

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

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

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