Software Alternatives, Accelerators & Startups

Swetrix VS NumPy

Compare Swetrix VS NumPy and see what are their differences

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Swetrix logo Swetrix

Understand the story behind your customer clicks and scrolls

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • 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!

  • NumPy Landing page
    Landing page //
    2023-05-13

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

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

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.

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.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Swetrix videos

Swetrix / Website Analytics demonstration

NumPy videos

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 Swetrix and NumPy)
Analytics
100 100%
0% 0
Data Science And Machine Learning
Web Analytics
100 100%
0% 0
Data Science Tools
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 Swetrix and NumPy

Swetrix Reviews

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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.
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

Based on our record, NumPy should be more popular than Swetrix. It has been mentiond 122 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.

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
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NumPy mentions (122)

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What are some alternatives?

When comparing Swetrix 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.

Matomo - Matomo is an open-source web analytics platform

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

Counter - Counting characters and words in the text layer.

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