Software Alternatives, Accelerators & Startups

Cloudback.it VS Plotly

Compare Cloudback.it VS Plotly and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Cloudback.it logo Cloudback.it

Cloudback secures your GitHub repositories with recurrent data backup. With Cloudback you can use your favorite cloud storage provider or a built-in one.

Plotly logo Plotly

Low-Code Data Apps
  • Cloudback.it
    Image date //
    2024-03-04

Features

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.

Flexible schedule

You can set up a flexible schedule for each repository. Cloudback then automatically backs up the repositories according to the schedule. You can also manually trigger a backup at any time.

Customer-managed storage providers

  • Microsoft Azure Blob Storage
  • Microsoft OneDrive
  • Amazon S3
  • Google Cloud Storage
  • Alibaba Cloud Object Storage
  • OpenStack Swift

Cloudback-managed storages

  • US, EU, UK, Sidney, Singapore

Data deduplication

Reduce storage costs while using your own storage. Learn more

And more

Learn more about Cloudback features in our documentation

  • Plotly Landing page
    Landing page //
    2023-07-31

Cloudback.it

$ Details
freemium $10 / Monthly (per repository monthly)
Platforms
GitHub AWS Azure Google Cloud Alibaba Cloud OpenStack Swift Wasabi GitLab
Release Date
2020 October

Cloudback.it features and specs

  • Automated backups
    Scheduled GitHub repository backups
  • Configurable schedule
    Various backup schedules supported
  • Cloud storage providers
    Azure, AWS S3, AWS Glacier, Google Cloud, Alibaba Cloud, built-in Cloudback storage
  • Easy to use
    On click setup
  • Microsoft Azure Blob Container support
    Use your own Microsoft Azure Blob Container to save backups
  • Amazon S3 Bucket support
    Use your own Amazon S3 Bucket to save backups
  • Amazon S3 Glacier support
    Use your own Amazon S3 Glacier to save backups
  • Google Cloud Storage Bucket support
    Use your own Google Cloud Storage Bucket to save backups
  • Alibaba Cloud Object Storage Service support
    Use your own Alibaba Cloud Object Storage Service to save backups
  • Metadata backups
    The backups include the repository metadata such as issues, labels, milestones, and comments
  • Download backup
    Download entire backup: repository and metadata
  • Restore backups
    Easy to restore the backup as a new GitHub repository

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly 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.

Cloudback.it videos

No Cloudback.it videos yet. You could help us improve this page by suggesting one.

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Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to Cloudback.it and Plotly)
GitHub
100 100%
0% 0
Data Visualization
0 0%
100% 100
Backup And Disaster Recovery
Charting Libraries
0 0%
100% 100

Questions & Answers

As answered by people managing Cloudback.it and Plotly.

What makes your product unique?

Cloudback.it's answer

Simplicity and user-friendliness, from the UX to the backup archive.

Why should a person choose your product over its competitors?

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).

Which are the primary technologies used for building your product?

Cloudback.it's answer

It is Azure-hosted .NET core application, built with security in mind.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Cloudback.it and Plotly

Cloudback.it Reviews

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Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Social recommendations and mentions

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.

Cloudback.it mentions (1)

  • I have fucked up please please helpp
    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

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    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
  • Python for Data Visualization: Best Tools and Practices
    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
  • Generative AI Powered QnA & Visualization Chatbot
    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
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    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
  • Essential Deep Learning Checklist: Best Practices Unveiled
    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
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What are some alternatives?

When comparing Cloudback.it and Plotly, you can also consider the following products

BackHub - Backup and archive your GitHub repositories with BackHub. Find us on the GitHub Marketplace.

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.

GitProtect.io - Fully manageable, most professional GitHub and Bitbucket backup

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

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.

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.