Apache OFBiz
Node.js
Django
Ruby on Rails
Laravel
Meteor
ASP.NET
ExpressJS
Shiny
Node.js
Django
Ruby on Rails
Laravel
ASP.NET
Meteor
ExpressJS
Apache OFBiz ShinyNo Apache OFBiz videos yet. You could help us improve this page by suggesting one.
Based on our record, Shiny seems to be a lot more popular than Apache OFBiz. While we know about 32 links to Shiny, we've tracked only 3 mentions of Apache OFBiz. 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.
Ofbiz is open source with the Apache license. https://ofbiz.apache.org. - Source: Hacker News / about 17 hours ago
Even better, kung meron ka basic knowledge sa programming or devops, you can use open source systems like Apache Ofbiz or opensourcepos tapos aralin na lang. Most time consuming but would probably fit your needs (if may background ka sa IT) since willing ka naman matuto. Source: 10 months ago
Consider https://ofbiz.apache.org . This has a permissive license ; easy to customise and deploy. UI is not as slick though. Source: over 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 / about 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: 12 months 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
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
Django - The Web framework for perfectionists with deadlines
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Laravel - A PHP Framework For Web Artisans
Meteor - Meteor is a set of new technologies for building top-quality web apps in a fraction of the time.
ASP.NET - ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.
