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Scikit-learn VS NetLimiter

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

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  3. » Reviews
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Scikit-learn logo Scikit-learn

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

NetLimiter logo NetLimiter

NetLimiter is an ultimate Internet traffic control and monitoring tool designed for Windows.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • NetLimiter Landing page
    Landing page //
    2022-12-15

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.

NetLimiter features and specs

  • Bandwidth Limiting
    NetLimiter allows users to set precise upload and download speed limits for applications, providing better control over network usage.
  • Real-time Monitoring
    The software offers real-time monitoring of network traffic, allowing users to see which applications are consuming bandwidth.
  • Detailed Statistics
    NetLimiter provides detailed statistics and history of application bandwidth usage, helpful for analysis and optimization.
  • Custom Rules
    Users can create custom rules to prioritize or restrict network access for specific applications, improving overall network performance.
  • User-friendly Interface
    The software features an intuitive and easy-to-navigate interface, making it accessible for both novice and advanced users.

Possible disadvantages of NetLimiter

  • Windows Only
    NetLimiter is only available for Windows, limiting its use for users who operate on macOS, Linux, or other operating systems.
  • Cost
    NetLimiter is a paid software with a trial version available, which may not be suitable for users looking for a free alternative.
  • Resource Usage
    The application can consume a noticeable amount of system resources, which might affect the performance of low-spec computers.
  • Limited to 64-bit Systems
    NetLimiter is only available for 64-bit versions of Windows, excluding users who are still running 32-bit systems.
  • Learning Curve
    While the interface is user-friendly, some advanced features and settings may require a learning curve for new users.

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

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

NetLimiter videos

+ Add

Netlimiter 4: How to Download, Install & Use ( Review 2020 )

More videos:

  • Tutorial - How to Use NetLimiter 4 Control Internet Download and Upload Speed over Network
  • Tutorial - NETLIMITER - how to control bandwidth (play online games with stable ping) no lag! tagalog

Category Popularity

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

Scikit-learn

NetLimiter

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Firewall
0 0%
Firewall
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 NetLimiter

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

NetLimiter Reviews

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

Based on our record, Scikit-learn seems to be a lot more popular than NetLimiter. While we know about 31 links to Scikit-learn, we've tracked only 2 mentions of NetLimiter. 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 (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

NetLimiter mentions (2)

  • Steam.exe downloading while playing competitive
    Get Netlimiter and you can limit Steam and anything else you want to use practically no bandwidth. Source: almost 4 years ago
  • Traffic Shaping on Big Sur
    On Windows, the classic tool to solve this problem is called NetLimiter, and it allows you to control bandwidth usage on a per-app basis. I used it back in my Win98 days and it was fantastic, and probably still is. Source: almost 4 years ago

What are some alternatives?

When comparing Scikit-learn and NetLimiter, 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.

GlassWire - Visualize network activity in detail, get notified when new apps access the network, look out for...

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

TinyWall - Lightweight and non-intrusive firewall

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

Emsisoft Online Armor Firewall - Emsisoft Online Armor Firewall is a freemium online firewall protection system by the Emsisoft that is based on the own independent protection technology of the Emsisoft.

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