Software Alternatives, Accelerators & Startups

BackHub VS Plotly

Compare BackHub VS Plotly and see what are their differences

BackHub logo BackHub

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

Plotly logo Plotly

Low-Code Data Apps
  • BackHub Landing page
    Landing page //
    2023-06-23

BackHub is a cloud-to-cloud backup solution for your GitHub repositories, creating recurring backups of your repos and metadata with daily snapshots.

Having a backup is essential in case of mistakes or disasters. However, most developers don't have one because it's a pain to write the script and make sure it runs every day.

Get peace of mind with BackHub. Set up reliable backups for your repositories in minutes so you can quickly recover at any time.

BackHub is a Rewind company, the leader in SaaS backups.

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

BackHub

Website
backhub.co
$ Details
paid Free Trial $12 / Monthly (10 GitHub repository backups)
Platforms
GitHub
Release Date
2014 January

BackHub features and specs

  • Recurring GitHub repository backup
    Create daily recurring backups of your public and private GitHub repositories. Don't worry about maintaining, executing or documenting your own backup script.
  • Sync backups to S3 option
    Sync backups to your own cloud storage (currently Amazon S3) to keep an offsite copy of your data and for longterm backup retention.
  • Audit Log for enterprise compliance
    The audit log is a centralized stream of all system and user activity within your BackHub installation. Easily monitor your backups and account activity with this feature.
  • Backup Issues, Milestones and more
    Backups include not only the repository with all branches, but also all associated metadata, such as issues, milestones, pull requests, releases, wikis and more
  • Daily Backup Snapshots
    BackHub creates daily snapshots of all your backups. You can easily restore a previous state of your repository or metadata up to 30 days back in time.
  • Clone from BackHub servers
    You can clone any snapshot of your GitHub backup directly from BackHub. This means you can access your data anytime, even if GitHub is temporarily not available.
  • Restore Repositories
    When you need to recover a repository, you can restore your repository including metadata, such as issues and milestones, directly back to GitHub via the GitHub API.
  • Download GitHub repository and Metadata
    You can download the GitHub repository or metadata directly from BackHub without having to restore it back to GitHub.
  • Automatic Backup Creation
    BackHub checks your GitHub account on a daily basis for new repositories and automatically creates backups.
  • Archive Repositories
    Use BackHub as your repository archive, and at GitHub remove repositories on which you are no longer working.
  • Share Backups among your Team
    BackHub supports GitHub organizations. When you create backups for your organization, all owners and admins can access and restore these backups too.

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.

BackHub videos

Create backups for your GitHub repositories

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 BackHub and Plotly)
GitHub
100 100%
0% 0
Data Visualization
0 0%
100% 100
Developer Tools
100 100%
0% 0
Charting Libraries
0 0%
100% 100

User comments

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Reviews

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

BackHub 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 BackHub. While we know about 34 links to Plotly, we've tracked only 1 mention of BackHub. 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.

BackHub mentions (1)

  • Visual Studio 2022 and Updates Need Git Backup Solution
    But it got me thinking for c# projects and Xamarin project what off site github backup solutions do you folks use I came across backhub.co not affiliated in anyway just asking has anybody used them at all?. Source: over 4 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 BackHub and Plotly, you can also consider the following products

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.

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.

Backblaze - Backblaze's remote backup automatically backs up your data to our secure datacenter.

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

Vaultedge - Access all your documents in one place.

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.