Based on our record, Plotly should be more popular than Openmix. It has been mentiond 30 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.
The new Licenses are already shown in the citrix.com portal. Source: 9 months ago
Since the DDC's are hosted in citrix.com, it sees it as a multi-domain setup. I have ran into this on multiple customers using a "single" domain. Source: about 1 year ago
Hey, I have gotten this alert on hosts for the past 4 months, have you found anything else. Looking at the logs, users enter through regular citrix.com but MDE flaggs this domain right after. Source: about 1 year ago
My personal analysis The domain app-workspace-citrix.com is hosted by ERANET INTERNATIONAL LIMITED (https://www.whois.com/whois/app-workspace-citrix.com), contact information is REDACTED for privacy. While the official domain of Citrix is hosted at CSC CORPORATE DOMAINS, INC (https://www.whois.com/whois/citrix.com), the information in the official domain is not redacted. The URLs on... Source: about 1 year ago
Decide till 5th march whether to extend your classic license one more time but only receive more info after march 8th? (watch citrix.com for exiting news ... Yeah sure). Source: over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 16 days ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year 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
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: over 1 year ago
Haproxy - Reliable, High Performance TCP/HTTP Load Balancer
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Pound - Cardio jam session inspired by drumming 🤘 Join our global community of Fitness REBELS💪 Noise MAKERS ⚡ Game CHANGERS 💚
Chart.js - Easy, object oriented client side graphs for designers and developers.
Load Balancer Add-On - Load Balancer Add-On is a platform that offers users to distribute traffic between multiple servers.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application