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SKUDONET's answer:
Technical IT team
SKUDONET's answer:
Easy to use and to manage, making the load balancing secure by default. Open source Load Balancer with cyber security capabilities
SKUDONET's answer:
SKUDONET is the first Open Source Load balancer easy to use and to manage, previously called ZEVENET.
SKUDONET's answer:
SKUDONET was created in 2012 after analyzing other vendors offered solutions not easy to deploy and manage, with expensive maintenance costs and continued training, SKUDONETS appears as an alternative to Load Balancing making easier the integration of this technology in any environment.
SKUDONET's answer:
SKUDONET is created on Linux Operating system, SKUDONET converts this General purpose operating system to a specific networking solution for Load Balancing.
SKUDONET's answer:
SKUDONET previously called ZEVENET is used for many companies around the world like TATA communications, Carrefour, Volkswagen, SoftwareONE, Cloud Providers, Telecom Italia, Telefonica, etc
Based on our record, Plotly seems to be more popular. 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.
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 / 22 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
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.
Haproxy - Reliable, High Performance TCP/HTTP Load Balancer
Chart.js - Easy, object oriented client side graphs for designers and developers.
Kemp LoadMaster - L4/7 Load Balancer w SSL offload
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
AWS Elastic Load Balancing - Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.