Software Alternatives, Accelerators & Startups

GitZip VS Plotly

Compare GitZip VS Plotly and see what are their differences

GitZip logo GitZip

Download or create a download link for a GitHub project folder/sub-folder or file.

Plotly logo Plotly

Low-Code Data Apps
  • GitZip Landing page
    Landing page //
    2019-09-02
  • Plotly Landing page
    Landing page //
    2023-07-31

GitZip features and specs

  • Selective Download
    GitZip allows users to download specific files or folders from a GitHub repository instead of cloning the entire repository, which is especially useful for large projects.
  • Ease of Use
    The extension provides a simple and intuitive interface to select and download files directly from GitHub, making it accessible for users with varying levels of technical expertise.
  • Browser Integration
    GitZip integrates directly with the browser, enabling users to download files without needing to switch to another tool.
  • Time Efficiency
    By allowing users to download only the necessary parts of a repository, GitZip helps in saving time that would otherwise be spent on downloading and processing unnecessary files.
  • Bandwidth Savings
    Avoiding the download of the entire repository helps in conserving bandwidth, particularly beneficial for users with limited internet resources.

Possible disadvantages of GitZip

  • Limited to GitHub
    GitZip is specifically designed for GitHub and does not support other Git hosting services, limiting its use to only GitHub repositories.
  • Browser Dependency
    As a browser extension, GitZip's functionality may be limited by browser-specific restrictions or lack of support in certain browsers.
  • Complexity with Large Repositories
    While GitZip is useful for downloading specific parts, navigating and selecting files in extremely large repositories can become cumbersome and less efficient.
  • Security Concerns
    Using third-party browser extensions may pose security risks, as they can potentially access sensitive data on GitHub.
  • Potential for Bugs
    As with many third-party tools, there is a possibility of encountering bugs or issues, especially following updates to GitHubโ€™s interface or API.

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.

GitZip videos

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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 GitZip and Plotly)
Development
100 100%
0% 0
Data Visualization
0 0%
100% 100
Tool
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 GitZip and Plotly

GitZip 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 thatโ€™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 GitZip. While we know about 34 links to Plotly, we've tracked only 2 mentions of GitZip. 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.

GitZip mentions (2)

  • How to only downlaod GFM without its submod on Github?
    If you don't want to trust a link from a stranger then you could use https://kinolien.github.io/gitzip/ where you can put the URL of a github folder and it'll give you a zip of the contents, so if you want the belle dark sub mod then you would paste in: https://github.com/Historical-Expansion-Mod/Greater-Flavor-Mod/blob/master/GFM%20Belle%20Dark.mod. Source: almost 4 years ago
  • WASD + mouse position movement on Isometric 2D
    Yeah, on GitHub there's no download directory button or something like this. You could for example use GitZip to download it zipped, just paste URL to that directory in there and download. Source: over 5 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 / 5 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!๐Ÿค“
    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
  • 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 GitZip and Plotly, you can also consider the following products

Refined GitHub - Browser extension that makes GitHub cleaner & more powerful

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.

GitHub Hovercard - GitHub Hovercard provides neat hovercards for GitHub.

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

Enhanced GitHub - :rocket: Chrome extension to display size of each file, download link and copy file contents directly to clipboard - softvar/enhanced-github

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.