Software Alternatives, Accelerators & Startups

Scikit-learn VS DNSFilter

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

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

DNSFilter logo DNSFilter

DNSFilter offers DNS-Based Content Filtering & Threat Protection.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • DNSFilter Landing page
    Landing page //
    2023-06-26

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

DNSFilter videos

CONTENT FILTERING - DNSFilter.com

More videos:

  • Review - dnsfilter.com - DNS Filtering Service
  • Review - DNS Filtering Followup: DNSFilter Blog Post & Quad9

Category Popularity

0-100% (relative to Scikit-learn and DNSFilter)
Data Science And Machine Learning
Cyber Security
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Security & Privacy
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 Scikit-learn and DNSFilter

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...

DNSFilter Reviews

We have no reviews of DNSFilter yet.
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Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than DNSFilter. It has been mentiond 29 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.

Scikit-learn mentions (29)

  • 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 / 16 days 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 / 4 months 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 / about 1 year ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
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DNSFilter mentions (9)

  • Getting the most out of Email quarantine and the M365 methods to reduce it.
    Look into dnsfilter.com for blocking chatgpt. Source: about 1 year ago
  • Evaluating DNSfilter
    What do you think about dnsfilter.com and how is the customer feedback? Source: over 1 year ago
  • MSP friendly DNS/web filtering product
    Dnsfilter.com like everyone else, it just works. Source: over 1 year ago
  • Good questions to ask at interviews when hiring a junior colleague?
    The domain name system translates human understandable names like dnsfilter.com into computer readable IP addresses like 44.207.21.146. More than that, DNS is the communication protocol used by all internet connected devices to send and receive resources across the internet. Source: over 1 year ago
  • I'm a dev and I'm curious about the block list.
    Eero Secure does produce its fair share of false-positives. Last I knew it was using dnsfilter.com behind the scenes, so it might be more efficient to contact that party if you want to try delisting. Source: almost 2 years ago
View more

What are some alternatives?

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

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

WebTitan - WebTitan is an advanced DNS based web content filter and web security layer that blocks malware, ransomware and phishing attempts as well as providing web content control. Cloud and gateway versions available.

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

HackerOne - HackerOne provides a platform designed to streamline vulnerability coordination and bug bounty program by enlisting hackers.

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

OpenDNS Umbrella - Cloud Security