pCloud
Dropbox
Google Drive
Mega
Microsoft OneDrive
Box
ownCloud
Nextcloud
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
pCloud
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.
pCloud might be a bit more popular than Plotly. We know about 36 links to it since March 2021 and only 34 links to Plotly. 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.
If you want Lifetime however, pCloud is a really popular option, with tons of features and good speeds (I typically get at least 160+ Mbps with them). They tend to run promos on their Lifetime deals around days like Black Friday, Christmas/New Year's, 4th of July, etc. They've already been around over a decade, so have shown thus far they can hold up against the test of time. Source: over 2 years ago
Why not just put everything in a virtual drive (like what pCloud does) so that way it doesn't matter how much storage each computer has - every computer will have, say, 2 TB to use (if you got their 2 TB plan). Source: about 3 years ago
Anyone experienced a problem running pcloud on ArchLinux with Sway? I recently did a system update, and now whenever I try to start the app (even if I download the binary direct from pcloud.com and run that) I get this error: ```. Source: about 3 years ago
pCloud can do at least 3 of those 4, and as an additional plus you can create your own custom "Branded Links" (some examples on this page) โ where you can have a custom cover, title image and even message for links that you share with people. So if you want to create a tailored look for your client, you can do that. Source: about 3 years ago
If you don't want to keep the document on your computer, use a free cloud space such us pcloud.com for the entries. Source: over 3 years ago
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
Dropbox - Online Sync and File Sharing
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.
Google Drive - Access and sync your files anywhere
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Mega - Secure File Storage and collaboration
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.