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We offer the most comprehensive backup on the market. Cloudback lets you store all the information you need to restore the entire repository in the event of a disaster. Back up the GitHub repository code, issues, labels, comments, milestones, etc.
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Plotly Cloudback.itPlotly 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.
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Cloudback.it's answer:
Simplicity and user-friendliness, from the UX to the backup archive.
Cloudback.it's answer:
1) Pricing policy - per repository, not per seats. 2) User-friendly backup archives. End user can take an archive and restore even manually. 3) Easy to use, the simplified UI and UX, without heavy enterprise-focused routines (but still all features are in place).
Cloudback.it's answer:
It is Azure-hosted .NET core application, built with security in mind.
Based on our record, Plotly seems to be a lot more popular than Cloudback.it. While we know about 34 links to Plotly, we've tracked only 1 mention of Cloudback.it. 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 / 6 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 / almost 2 years 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
If you were using GitHub Desktop, then the file should be in the recycle bin. See this SO answer for more details. You can also try using git restore command. Finally, you can use backup tools like Cloudback to protect your repositories in the future. This will not help you to restore the local changes from your computer, but still can be useful in case of any wrong changes done to your repository. Source: over 3 years 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.
BackHub - Backup and archive your GitHub repositories with BackHub. Find us on the GitHub Marketplace.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
GitProtect.io - Fully manageable, most professional GitHub and Bitbucket backup
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.
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.