
CrashPlan
Backblaze
ManageWP
MiniTool Partition Wizard
Druva
11:11 Systems
Veeam
Zoolz
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
CrashPlan provides cyber resilience and data protection through a unified platform trusted by organizations worldwide. With secure, scalable backup and recovery for servers, endpoints, Microsoft 365, and Google Workspace, CrashPlan safeguards critical data against threats such as accidental deletion, ransomware, and system failure. Built with proactive threat detection and automated governance, CrashPlan ensures continuous access and compliance. Whether you back up to our cloud, your Azure instance, a local destination, or a third-party cloud, CrashPlan restores your data and your peace of mind.
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PlotlyPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Based on our record, Plotly seems to be more popular. It has been mentiond 34 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.
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 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 / about 2 years ago
Backblaze - Backblaze's remote backup automatically backs up your data to our secure datacenter.
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.
ManageWP - ManageWP is a service for bloggers, site owners and web based companies helping them manage multiple WordPress sites from one dashboard.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
MiniTool Partition Wizard - As a partition magic alternative, Minitool Partition Wizard is the latest partition manager software which be used to manage partition on Windows 10/8/7/XP and Server 2003/2008/2012.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.