Software Alternatives, Accelerators & Startups

ZoomEye VS Plotly

Compare ZoomEye 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.

ZoomEye logo ZoomEye

Network mapping service

Plotly logo Plotly

Low-Code Data Apps
  • ZoomEye Landing page
    Landing page //
    2023-04-25
  • Plotly Landing page
    Landing page //
    2023-07-31

ZoomEye features and specs

  • Comprehensive Data
    ZoomEye provides extensive data on various types of networked devices, including computers, webcams, routers, and more. This makes it a valuable resource for cybersecurity professionals looking to evaluate and mitigate risks.
  • Real-time Search
    ZoomEye offers real-time search capabilities, allowing users to find up-to-date information quickly and efficiently. This is particularly useful for tracking new threats as they emerge.
  • Advanced Filtering Options
    Users can apply advanced filters to narrow down search results according to various criteria such as geographic location, device type, service, or platform. This enables more targeted and precise searches.
  • API Access
    ZoomEye provides API access, allowing developers to integrate its search capabilities into their own applications or workflows, thereby enhancing automation and efficiency.
  • User-Friendly Interface
    The platform features a user-friendly interface that makes it easy for both novices and experts to navigate and utilize its tools effectively.

Possible disadvantages of ZoomEye

  • Paid Subscription Model
    Access to advanced features and detailed data on ZoomEye requires a paid subscription, which may be a barrier for individuals or small organizations with limited budgets.
  • Potential Privacy Concerns
    As with any tool that provides extensive information on internet-connected devices, there are inherent privacy concerns about how this data is collected, shared, and used.
  • Learning Curve
    While the interface is user-friendly, leveraging the full capabilities of ZoomEye may require a learning curve, especially for those unfamiliar with network scanning and cybersecurity principles.
  • Legal and Ethical Issues
    Using ZoomEye for unauthorized access or to exploit vulnerabilities can lead to legal and ethical issues. Users must be aware of and adhere to applicable laws and ethical guidelines.
  • Data Overload
    The sheer volume of data available on ZoomEye can be overwhelming for users, making it difficult to filter out relevant information effectively without experience.

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.

ZoomEye videos

ZoomEye Steampunk Goggles

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 ZoomEye and Plotly)
Security
100 100%
0% 0
Data Visualization
0 0%
100% 100
Web Application Security
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 ZoomEye and Plotly

ZoomEye 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 more popular. It has been mentiond 34 times since March 2021. 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.

ZoomEye mentions (0)

We have not tracked any mentions of ZoomEye yet. Tracking of ZoomEye recommendations started around Mar 2021.

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 / 4 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 ZoomEye and Plotly, you can also consider the following products

Shodan - Shodan is the world's first search engine for Internet-connected devices.

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.

Social-Engineer Toolkit - The Social-Engineer Toolkit is an open source penetration testing framework designed for social...

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

Censys - Censys helps organizations, individuals, and researchers find and monitor every server on the Internet to reduce exposure and improve security.

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.