Software Alternatives, Accelerators & Startups

Scikit-learn VS Swetrix

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

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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.

Swetrix logo Swetrix

Understand the story behind your customer clicks and scrolls
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Swetrix Web Analytics
    Web Analytics //
    2024-06-02
  • Swetrix Site Speed monitoring
    Site Speed monitoring //
    2024-06-02
  • Swetrix Client-side error tracking
    Client-side error tracking //
    2024-06-02

โšก๏ธ Swetrix is an ultimate, opensource and privacy focused Google Analytics alternative.

โ“ Why Swetrix if there is [name any other web analytics service]? Yes, there are indeed a lot of great web analytics utilities on the market. Some provide more features, some provide less.

The point of Swetrix is to become a 'de-facto' tool every website owner will use. As for now, we do provide all (if not more) the features our competitors do. Need to track unique visitors? Easy. Teams support? Email reports? Data exports? Boom, done! Timezones? Browser extensions? Here.

Swetrix is growing every day, a team of greatest developers are working on it. This year there will be a few huge updates like custom extensions marketplace and a few more.

In short, our features include, but not limited to: โšก๏ธ Super easy to use, simple and fast dashboard. ๐Ÿ“ฆ Track your custom events, with unique and bounce rate metrics included. ๐Ÿช Fully cookieless yet powerful tracking platform. No need to use Cookie / GDPR banners on your website anymore. ๐Ÿ“จ Detailed email reports and GDPR data exports. ๐Ÿซ‚ Project sharing and teams support. ๐Ÿ—ฃ Supports many different languages. Dark/light themes too! ๐Ÿ’จ Lightweight tracking script (about 3.5 KB), hosted on a CDN. ๐Ÿ”’ 2FA support. ๐Ÿ‡ช๐Ÿ‡บ All the data is stored and processed on servers in the European Union. ๐Ÿ“– Fully open source and self-hostable (via Docker) code. Available on Github - https://github.com/Swetrix. ๐Ÿ“• And much more..! Try it yourself and make sure!

Swetrix

$ Details
paid Free Trial $5.0 / Monthly (10000 events per month, up to 50 websites)
Platforms
Web Google Chrome Firefox
Release Date
2021 August
Startup details
Country
United Kingdom
State
Scotland
City
Dundee
Founder(s)
Andrii Romasiun
Employees
1 - 9

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.

Swetrix features and specs

  • Website Analytics
    Comprehensive & easy to use website analytics
  • Performance monitoring
    Analytics of how fast your website loads, based on real data from your own users
  • Error tracking
    Easy to use & customisable error tracking for your website

Analysis of Scikit-learn

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

Analysis of Swetrix

Overall verdict

  • Good

Why this product is good

  • Swetrix is a privacy-focused analytics platform that offers an easy way to track and understand website traffic without compromising user privacy. It stands out due to its compliance with GDPR and its user-friendly interface that does not require the use of cookies, making it suitable for privacy-conscious users and businesses.

Recommended for

    Swetrix is ideal for small to medium-sized businesses, web developers, and privacy-conscious website owners who need insights into their web traffic while ensuring compliance with data protection regulations like GDPR.

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Swetrix videos

Swetrix / Website Analytics demonstration

Category Popularity

0-100% (relative to Scikit-learn and Swetrix)
Data Science And Machine Learning
Analytics
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Web Analytics
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 Swetrix

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...

Swetrix Reviews

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

Based on our record, Scikit-learn should be more popular than Swetrix. It has been mentiond 40 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 (40)

  • Detecting Ingress Tool Transfer (T1105) with Python
    Certutil.exe or notepad.exe opening an external connection lands in rare because, fleet-wide, those processes almost never egress. Tune the <= 3 threshold to your environment size. For a more principled version, score each (process, destination) pair by frequency and treat the long tail as the hunt queue, which is the same idea behind scikit-learn's rarity-based anomaly methods without the model overhead. - Source: dev.to / about 2 months ago
  • Best AI Cybersecurity Training for Security Teams: How to Pick
    Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / about 2 months ago
  • Where to Get Hands-On AI Training for Cybersecurity Professionals
    Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 2 months ago
  • How Anomaly Detection Actually Works in Security Operations
    Isolation-based models: Build random decision trees that split features. Points that are isolated quickly (short average path length across trees) are anomalies. IsolationForest in scikit-learn implements this. Handles high-dimensional feature spaces without assuming a distribution. - Source: dev.to / 3 months ago
  • Building a Personalized Meal Recommendation System
    In practice, youโ€™ll want to use libraries (like scikit-learn or TensorFlow.js for more advanced modeling), but the principle remains: find what similar users enjoy, and use that as a basis for recommendations. - Source: dev.to / 5 months ago
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Swetrix mentions (17)

  • Swetrix | Self-Hosted Web Analytics Platform | Proxmox Setup
    I have been looking for a while for the best platform for self-hosting my own web analytics and recently I found Swetrix. Source: over 2 years ago
  • Ask HN: Is Google Analytics that useful?
    Take a look at https://swetrix.com, it's a privacy focused and opensource analytics platform, it's cookieless and hosted in the EU. Also here's a comparison against Google Analytics if you're curious:. - Source: Hacker News / almost 3 years ago
  • Looking for a SaaS Marketing Cofounder
    Hi. Me and my friends are building an open-source and privacy focused web analytics tool for over 2 years already. It's insanely hard for us to properly acquire customers although we believe that we're offering much more functionality than the competition. Source: about 3 years ago
  • What is your favorite website analytics platformโ€”and why?
    Swetrix, it's opensource, gdpr friendly and besides regular web analytics has some cool features like performance monitoring. Source: over 3 years ago
  • I built an open source Google Analytics alternative (free as in freedom and privacy-first, too!)
    Happy cake day. Yeah, nowadays there are so many analytics variants out there: Swetrix, Plausible, offen, count.ly any many more. Source: over 3 years ago
View more

What are some alternatives?

When comparing Scikit-learn and Swetrix, 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.

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

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

Matomo - Matomo is an open-source web analytics platform

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

Counter - Counting characters and words in the text layer.