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Social-Engineer Toolkit VS Plotly

Compare Social-Engineer Toolkit VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Social-Engineer Toolkit logo Social-Engineer Toolkit

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

Plotly logo Plotly

Low-Code Data Apps
  • Social-Engineer Toolkit Landing page
    Landing page //
    2023-10-13
  • Plotly Landing page
    Landing page //
    2023-07-31

Social-Engineer Toolkit features and specs

  • Comprehensive Toolset
    The Social-Engineer Toolkit (SET) offers a wide range of features that cover numerous aspects of social engineering, including phishing attacks, credential harvesting, and more. This makes it a versatile tool for users looking to simulate or learn about social engineering techniques in a controlled environment.
  • User-Friendly Interface
    SET provides a user-friendly interface that makes it accessible to users who may not be highly technical. This allows a broader audience to utilize the tool for educational, testing, and security purposes.
  • Regular Updates
    The tool is regularly updated to include new features, improvements, and bug fixes. This ensures that users have access to the latest security tactics and attack vectors, enhancing the tool's effectiveness over time.
  • Open Source
    Being open-source, SET allows users to review its code, ensuring transparency and enabling customization according to specific needs. This also fosters a community-driven approach to tool development and improvement.

Possible disadvantages of Social-Engineer Toolkit

  • Legal and Ethical Concerns
    While SET is a powerful tool for education and simulated testing, it can be misused for unethical activities if placed in the wrong hands. Users must have a clear understanding of legal and ethical implications before using SET.
  • Learning Curve
    Despite its user-friendliness, users may encounter a learning curve, especially those who are unfamiliar with social engineering concepts and the technical aspects of cybersecurity testing.
  • Dependency on Environment
    SET might require specific environments or dependencies to be fully functional, which can lead to compatibility issues or require additional setup efforts for users unfamiliar with such configurations.
  • Potential for Misconfiguration
    There is a possibility of misconfiguration when setting up and using SET, which could lead to less effective simulation of attacks or even security risks if not handled properly.

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.

Social-Engineer Toolkit videos

+ Add

Stealing Credentials with the Social-Engineer Toolkit (SET)

More videos:

  • Review - David Kennedy - Social-Engineer Toolkit (SET v7.0)
  • Review - ๐Ÿ’ผSET๐Ÿ’ผ(Social-Engineer Toolkit)๐ŸฆœParrot Security OS๐Ÿ“ฑIphone X๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ

Plotly videos

+ Add

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 Social-Engineer Toolkit and Plotly)

Social-Engineer Toolkit

Plotly

Security
100 100%
Security
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Web Application Security
100 100%
Web Application Security
0% 0
Charting Libraries
0 0%
Charting Libraries
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 Social-Engineer Toolkit and Plotly

Social-Engineer Toolkit Reviews

We have no reviews of Social-Engineer Toolkit yet.
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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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Social-Engineer Toolkit. While we know about 34 links to Plotly, we've tracked only 2 mentions of Social-Engineer Toolkit. 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.

Social-Engineer Toolkit mentions (2)

  • How can a file be malicious?
    There's programs out there to make these malicious PDFs, word documents, etc https://github.com/trustedsec/social-engineer-toolkit. Source: over 3 years ago
  • Awesome Penetration Testing
    Social Engineer Toolkit (SET) - Open source pentesting framework designed for social engineering featuring a number of custom attack vectors to make believable attacks quickly. - Source: dev.to / 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 / 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 Social-Engineer Toolkit and Plotly, you can also consider the following products

ZoomEye - Network mapping service

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.

Armitage - Armitage makes penetration testing easy by adding a GUI to the Metasploit framework

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

Cobalt Strike - Advanced threat tactics for penetration testers.

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.

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