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Shodan VS Matplotlib

Compare Shodan VS Matplotlib and see what are their differences

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Ensure healthy website performance, uptime, and free from vulnerabilities. Automatic checks for SSL Certificates, domains and monitor issues with your websites all from one console and get instant notifications on any issues. featured
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Shodan logo Shodan

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

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Shodan Landing page
    Landing page //
    2023-03-16
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Shodan features and specs

  • Comprehensive Data Collection
    Shodan extensively scans the internet, collecting data from a wide range of devices and services, which provides users with a thorough overview of their network exposure.
  • Security Awareness
    It helps organizations identify and address security vulnerabilities by revealing exposed devices and services that might otherwise go unnoticed.
  • Automation Capabilities
    The platform offers an API that allows users to automate searches and integrate Shodan data into their own tools and workflows.
  • Detailed Search Filters
    Shodan provides advanced search filters that allow users to narrow down results based on specific criteria such as geographic location, device type, or operating system.
  • Real-Time Monitoring
    Users can set up real-time alerts to monitor for new exposures, ensuring timely response to potential threats.

Possible disadvantages of Shodan

  • Ethical and Legal Concerns
    Shodan can be used by malicious actors to identify and exploit vulnerabilities, raising ethical and legal questions about its use and data collection practices.
  • Complex UI
    The user interface can be overwhelming for beginners due to its complexity and the vast amount of data available, making it difficult to navigate without prior experience.
  • Subscription Costs
    While Shodan offers a free tier, accessing advanced features and extensive search capabilities requires a subscription, which might be costly for some users.
  • Potential for False Positives
    The data collected by Shodan might include false positives, where benign devices are flagged as vulnerabilities, thus requiring users to manually verify each finding.
  • Privacy Concerns
    Since Shodan indexes devices connected to the internet, this can include personal and residential hardware, leading to privacy concerns for individuals whose devices are inadvertently exposed.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Shodan videos

+ Add

Searching the Internet with Shodan (Seen in Mr. Robot)

More videos:

  • Review - Bestech Shodan Unboxing & First Impressions
  • Review - Bestech Shodan FULL Review

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Shodan and Matplotlib)

Shodan

Matplotlib

Security
100 100%
Security
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
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 Shodan and Matplotlib

Shodan Reviews

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Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesn’t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Matplotlib might be a bit more popular than Shodan. We know about 107 links to it since March 2021 and only 92 links to Shodan. 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.

Shodan mentions (92)

  • Introducing OSINT Template Engine: An open source OSINT Tool.
    Transform OSINT sources such as shodan, bgpview & urlscan into templates which you can use to query & store any and each of the API endpoints they provide. Source: almost 2 years ago
  • Some outgoing ports (e.g, port 22) are blocked
    I'm a little surprised you're asking this but as you don't know - if you set the rulebase correctly, you won't get hammered by "public". A lot of people (of course not people here) don't do that which is why shodan.io is full of servers with SSH exposed to the world. Source: almost 2 years ago
  • Does anyone want to vet this job opportunity?
    Eh, request a full demo before signing anything. If they make you buy before you can try, move on. Just be advised that data they collect from your site may be used in a database that puts a target on your back. Similar to how shodan.io works. I would probe them on how they handle customer data and if data is shared, partitioned, or isolated to ensure safety from a platform leak. They want to be a security... Source: almost 2 years ago
  • Security issue or coincidence?
    My network is being hit by China and Russia many times per hour. Make sure your firewall is up-to-date and not have any services available on the Internet (WAN). Look at shodan.io which shows you _everything_ is searched on the Internet. Source: almost 2 years ago
  • Onion sites crawling: Weird mass "HTTP/1.1 200 " HTTP status line returning?
    In the cases of nginx or apache, I suspect they may be acting as proxies to some backend that also chooses not to send a reason phrase back. Searching for "Reason Phrase" yields a number of bug reports/frameworks that may omit it, and shodan.io shows apache tomcat and a few other services/software that omit the code as well. Source: almost 2 years ago
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Matplotlib mentions (107)

  • Python for Data Visualization: Best Tools and Practices
    Matplotlib is the backbone of Python data visualization. It’s a flexible, reliable library for creating static plots. Whether you're making simple bar charts or complex graphs, Matplotlib allows extensive customization. You can adjust nearly every aspect of a plot to suit your needs. - Source: dev.to / about 1 month ago
  • Build a Competitive Intelligence Tool Powered by AI
    Add data visualization to make it actionable for your business using pandas.pydata.org and matplotlib.org. - Source: dev.to / 5 months ago
  • Data Visualisation Basics
    Matplotlib: a versatile library for visualizations, but it can take some code effort to put together common visualizations. - Source: dev.to / 8 months ago
  • Creating a CSV to Graph Generator App Using ToolJet and Python Libraries
    In this tutorial, we'll create a CSV to Graph Generator app using ToolJet and Python code. This app enables users to upload a CSV file and generate various types of graphs, including line, scatter, bar, histogram, and box plots. Since ToolJet supports Python (and JavaScript) code out of the box, we'll incorporate Python code and the matplotlib library to handle the graph generation. Additionally, we'll use... - Source: dev.to / 10 months ago
  • Something is strange with CrowdStrike timeline
    It looks like matplotlib to me: https://matplotlib.org/. - Source: Hacker News / 10 months ago
View more

What are some alternatives?

When comparing Shodan and Matplotlib, you can also consider the following products

Intruder - Intruder is a security monitoring platform for internet-facing systems.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Acunetix - Audit your website security and web applications for SQL injection, Cross site scripting and other...

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

Nessus - Nessus Professional is a security platform designed for businesses who want to protect the security of themselves, their clients, and their customers.

Plotly - Low-Code Data Apps

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