PlanningPME
Visual Planning
Float
Wrike
Planday
Timesphere
ResourceGuru
Shift-Planner.co.uk
Shiny
Node.js
Django
Ruby on Rails
Laravel
ASP.NET
Meteor
ExpressJS
PlanningPME is a resource planning tool that can be fully customized, used by more than 5000 companies. Small and medium-sized businesses and large groups already trust it! Use a solution that adapts to your needs. Manage your employees' schedules efficiently. Wherever you are, share and assign tasks in real time. Plan events with precision. Organize time off and other absences. Get more visibility into your calendar, build dedicated integrations with Google Calendar or Excel. Free 30-day trial.
PlanningPME ShinyBased on our record, Shiny seems to be more popular. It has been mentiond 32 times since March 2021. 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.
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 / 3 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 / 10 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: over 1 year ago
Visual Planning - Visual Planning is a leading employee management software that makes scheduling and resource management a simple and easy.
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
Float - The leading resource management software for agencies, studios, and firms. With a simple, drag and drop interface and powerful editing tools, Float saves you time and keeps projects on track.
Django - The Web framework for perfectionists with deadlines
Wrike - Wrike is a flexible, scalable, and easy-to-use collaborative work management software that helps high-performance teams organize and accomplish their work. Try it now.
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...