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Matomo VS NumPy

Compare Matomo VS NumPy and see what are their differences

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Matomo logo Matomo

Matomo is an open-source web analytics platform

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Matomo Landing page
    Landing page //
    2023-10-23
  • NumPy Landing page
    Landing page //
    2023-05-13

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.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

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

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to Matomo and NumPy)

Matomo

NumPy

Analytics
100 100%
Analytics
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Web Analytics
100 100%
Web Analytics
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 Matomo and NumPy

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

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

NumPy might be a bit more popular than Matomo. We know about 119 links to it since March 2021 and only 86 links to Matomo. 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.

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 / 20 days 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 / 2 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 / 6 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

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
View more

What are some alternatives?

When comparing Matomo and NumPy, you can also consider the following products

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 🇪🇺

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

Fathom Analytics - Simple, trustworthy website analytics (finally)

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

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