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OpenVAS VS Scikit-learn

Compare OpenVAS VS Scikit-learn and see what are their differences

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OpenVAS logo OpenVAS

The Open Vulnerability Assessment System (OpenVAS) is a framework of several services and tools...

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • OpenVAS Landing page
    Landing page //
    2023-03-22
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

OpenVAS features and specs

  • Open Source
    OpenVAS is an open-source vulnerability scanning tool, which means it is free to use and the source code is available for customization.
  • Comprehensive Scanning
    It offers comprehensive vulnerability scanning capabilities, including a wide range of tests for network vulnerabilities, web application security, and compliance checks.
  • Regular Updates
    The tool receives regular updates, ensuring that it keeps up with the latest vulnerabilities and security threats.
  • Community Support
    OpenVAS has a strong community of users and developers who contribute to its development and provide support through forums and other channels.
  • Integration Capabilities
    OpenVAS can be integrated with other security tools and systems, enhancing its utility in a broader security infrastructure.

Possible disadvantages of OpenVAS

  • Complex Setup
    Setting up OpenVAS can be complex and time-consuming, requiring a fair amount of technical expertise.
  • Resource Intensive
    Running OpenVAS can be resource-intensive, potentially requiring significant CPU and memory, especially during large-scale scans.
  • False Positives
    Like many vulnerability scanning tools, OpenVAS can generate false positives, which can result in additional effort to validate findings.
  • User Interface
    The user interface can be less intuitive compared to some commercial vulnerability scanners, potentially increasing the learning curve for new users.
  • Limited Real-Time Capabilities
    OpenVAS is more focused on periodic scanning rather than real-time vulnerability detection and management.

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

OpenVAS videos

+ Add

How to find Exploits with OpenVAS

More videos:

  • Review - Vulnerability Analysis with OpenVAS | Scanning and Reconnaissance
  • Review - Vulnerability Identification and Remediation Cybrary Lab | Ep. 3 Kali Linux, OpenVAS, + more

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to OpenVAS and Scikit-learn)

OpenVAS

Scikit-learn

Security
100 100%
Security
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Web Application Security
100 100%
Web Application Security
0% 0
Data Science Tools
0 0%
Data Science Tools
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 OpenVAS and Scikit-learn

OpenVAS Reviews

Best Burp Suite Alternatives (Free and Paid) for 2023
The primary reason businesses use OpenVas is to perform comprehensive security testing of their IP addresses. This tool performs a port scan of an IP address to find any open services. Once listening services are found, they are tested for known vulnerabilities and misconfiguration using a large database of 53000 NVT checks. The results are compiled into a report that...
Source: www.softwaretestingmaterial.com
Burp suite alternatives
It is an open vulnerability assessment system is a software framework of services and tools offering vulnerability scanning and vulnerability assessment. The aim of OpenVAS protocol ia to be well documented to assist the developers. all products of OpenVAS are free, most components are licensed under the GNU, general public license. Its Plugins are written in NASL (Nessus...
Source: www.educba.com
10 Best Tenable Nessus Alternatives For 2021 [Updated List]
Verdict: OpenVAS is an open-source web application security scanner that will help you accurately detect vulnerabilities. It is easily configurable and can be tuned accordingly if you want to perform large-scale scans. Its use of updated data feeds makes it extremely efficient in detecting almost all types of vulnerabilities.
Source: www.softwaretestinghelp.com
Best Nessus Alternatives (Free and Paid) for 2021
OpenVAS receives updates daily, which broadens the vulnerability detection coverage. It also helps in risk assessment and suggests countermeasures when the vulnerabilities in an application or network is detected.
Source: www.softwaretestingmaterial.com

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than OpenVAS. It has been mentiond 31 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.

OpenVAS mentions (6)

  • Link CVE to installed applications?
    Otherwise your on the right path checkout the open source Greenbones OpenVAS (this was Nessus before they closed source and became corporate) or Project Discovery Nuclei. Source: about 2 years ago
  • What should I be doing as the sole sysadmin for a company to keep up with security?
    Personally, I was lucky enough to get a license to Nessus for my own scanning, however you can use OpenVAS for some free to scan. Scanners aren't 100% correct no matter where you go but it'll give you some things to look at. OpenVAS. Source: about 3 years ago
  • Wanting to protect my own homelab
    Https://openvas.org/ OpenVAS is free and fairly capable. It might struggle cpu on a pi... Might need quite a bit of ram, but I'm hoping you've got some beefier kit in your stack. Source: about 3 years ago
  • Free nessus equivalent?
    Maybe OpenVAS would fill the bill. It’s been on my list of things to check out. Source: over 3 years ago
  • Internal Vulnerability Scanning
    OpenVAS - https://openvas.org Try it first, its free, just download a prebuilt VM and you're off and running. I found it valuable for my clients. Source: almost 4 years ago
View more

Scikit-learn mentions (31)

  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago
  • 🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
    Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 11 months ago
  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / about 1 year ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / almost 2 years ago
View more

What are some alternatives?

When comparing OpenVAS and Scikit-learn, you can also consider the following products

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

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

Burp Suite - Burp Suite is an integrated platform for performing security testing of web applications.

OpenCV - OpenCV is the world's biggest computer vision library

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

NumPy - NumPy is the fundamental package for scientific computing with Python

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