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Scikit-learn VS Matomo

Compare Scikit-learn VS Matomo 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.

Matomo logo Matomo

Matomo is an open-source web analytics platform
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Matomo Landing page
    Landing page //
    2023-10-23

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.

Matomo features and specs

  • Open Source
    Matomo is an open-source platform, allowing for customization and transparency in how data is collected and processed.
  • Data Ownership
    Users have full ownership of their data, ensuring that no third-party entities have access to sensitive information.
  • Privacy Compliance
    Matomo is designed with privacy in mind, making it easier to comply with GDPR, CCPA, and other data protection regulations.
  • Self-Hosting Option
    Matomo can be self-hosted, giving users complete control over their data security and server environment.
  • Feature-Rich
    The platform offers a wide range of features, including A/B testing, heatmaps, session recording, and more.
  • Community Support
    A large community of users and developers contributes plugins, improvements, and support, enriching the ecosystem.

Possible disadvantages of Matomo

  • Complex Setup
    The initial setup, especially for self-hosted versions, can be complex and time-consuming, requiring technical expertise.
  • Resource Intensive
    Running Matomo, particularly its self-hosted version, can be resource-intensive, requiring significant server capabilities.
  • Cost for Advanced Features
    While the basic version is free, advanced features and cloud hosting come at a cost, which might be expensive for small businesses.
  • Limited Integrations
    Matomo offers fewer integrations with other marketing and analytics tools compared to some other platforms like Google Analytics.
  • Learning Curve
    New users may find the interface and advanced features challenging to learn and navigate initially.
  • Performance Issues
    Some users report performance issues, particularly with large volumes of data or on less powerful servers.

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 Matomo

Overall verdict

  • Matomo is a good choice for those who prioritize data privacy and require a comprehensive analytics tool that can be self-hosted. It's especially suitable for organizations hesitant about sharing data with third-party services and for those looking for customizable and transparent analytics solutions.

Why this product is good

  • Matomo is a popular open-source web analytics platform that provides in-depth insights into website traffic, user behavior, conversion rates, and more. It's considered a robust alternative to Google Analytics, with a focus on data privacy, as users can host the platform on their own servers or use Matomo's cloud-based service. Matomo offers features such as heatmaps, session recordings, goal tracking, and more, which can be particularly valuable for businesses looking to gain a detailed understanding of their website performance while maintaining control over their data.

Recommended for

  • Privacy-conscious businesses
  • Web developers
  • Data analysts
  • E-commerce sites
  • Organizations with in-house IT capabilities
  • Government and educational institutions
  • Non-profits looking for cost-effective solutions

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

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

Matomo videos

+ Add

WP-Matomo (WP-Piwik) Review: Open Source Analytics For WordPress

More videos:

  • Review - Matomo Analytics - Dashboards
  • Review - AMU WEBD122 - Spohnholtz Piwik Analytics Review
  • Review - What are the differences between Matomo Analytics and Google Analytics
  • Review - Matomo On-Premise installation overview

Category Popularity

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

Scikit-learn

Matomo

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Analytics
0 0%
Analytics
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Web Analytics
0 0%
Web Analytics
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 Matomo

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

Matomo Reviews

Top 5 Plausible Analytics Alternatives in 2024
With advanced web analytics Matomo Analytics also provides eCommerce analytics capabilities.
Source: www.putler.com
Top 9 Plausible Analytics alternatives in 2024
Matomo, one of the best Plausible analytics alternatives, an open-source analytics platform, prioritizes data ownership and customization. It allows users to host analytics on their servers, ensuring complete control over collected data.
Source: usermaven.com
Top 5 Self-Hosted, Open Source Alternatives to Google Analytics
Use Case Example: A healthcare website uses Matomo to securely track user interactions while maintaining strict compliance with health data privacy regulations.
Source: zeabur.com
Unleashing Alternatives: 15 Advanced Tools for Web Analytics Just Like Google Analytics(Brief and Crisp)
Piwik PRO offers similar if not same benefits as mentioned above and makret themselves a tool for “Technical Marketers”. If you did not know then let me tell you that Matomo and Piwik PRO both these products emerged from the humble beginnings of the Piwik project but have since charted a slightly different paths.
Source: rishikap372.medium.com
Unleashing Alternatives: 15 Advanced Tools for Web Analytics Just Like Google Analytics(Brief and Crisp)
Piwik PRO offers similar if not same benefits as mentioned above and makret themselves a tool for “Technical Marketers”. If you did not know then let me tell you that Matomo and Piwik PRO both these products emerged from the humble beginnings of the Piwik project but have since charted a slightly different paths.
Source: medium.com

Social recommendations and mentions

Based on our record, Matomo should be more popular than Scikit-learn. It has been mentiond 86 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 (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 / 4 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 / 6 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 / about 1 year 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 / over 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

Matomo mentions (86)

  • Indie Hacking with Open Source Tools: Innovating on a Budget
    Another case involves a duo launching an eco-friendly e-commerce website. Using WordPress paired with WooCommerce, they built a fully featured site with a sustainable operational model. Enhanced analytics from Matomo brought data-driven insights and growth strategies to life. This project highlights the benefits of cost-effective, community-driven solutions in the competitive e-commerce landscape. - Source: dev.to / about 1 month ago
  • 10 of the Best Web Analytics Tools for React Websites
    As an open-source cloud and on-premise tool, Matomo gives users complete control over their data, allowing them to host it on their servers and comply with privacy regulations such as GDPR. - Source: dev.to / 3 months ago
  • Indie Hacking with Open Source Tools: Innovating on a Budget
    Analytical tools like Matomo provide critical insights into user behavior and site performance. - Source: dev.to / 3 months ago
  • Show HN: Vince – A self hosted alternative to Google Analytics
    Matomo is another one… https://matomo.org/. - Source: Hacker News / 7 months ago
  • 🔥Matomo 5 UPGRADE - A step-by-step GUIDE 🤌
    Matomo just released their major v5 upgrade with following key improvements:. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

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

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

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.

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

Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure 🇪🇺

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

Fathom Analytics - Simple, trustworthy website analytics (finally)

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