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NumPy VS StatCounter

Compare NumPy VS StatCounter and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

StatCounter logo StatCounter

StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • StatCounter Landing page
    Landing page //
    2022-10-18

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.

StatCounter features and specs

  • Ease of Use
    StatCounter has a user-friendly interface that makes it simple for users to navigate and access their website analytics without requiring in-depth technical knowledge.
  • Real-time Tracking
    StatCounter provides real-time tracking of visitors, allowing users to monitor traffic and visitor behavior as it happens.
  • Detailed Visitor Information
    It offers detailed information on visitor activity, including page views, time spent on site, and referral sources, which can help in understanding user behavior.
  • Customizable Reports
    Users can generate customizable reports to focus on specific metrics that are most relevant to their business needs.
  • Free Basic Plan
    StatCounter offers a free basic plan that includes essential analytics features, making it accessible for small businesses or personal websites.
  • No Impact on Site Performance
    The StatCounter script is lightweight and does not significantly affect website load times, ensuring a smooth user experience.

Possible disadvantages of StatCounter

  • Limited Free Plan
    The free plan has limitations on the number of page views and features available, which may not be sufficient for larger websites.
  • Less Advanced Features
    StatCounter lacks some of the advanced features found in other analytics platforms, such as advanced segmentation and predictive analytics.
  • Data Retention
    The data retention period is limited, especially on the free and lower-tier plans, which can restrict the ability to perform long-term analysis.
  • Customization Limitations
    While reports are customizable, the level of customization is not as robust as some other analytics tools, potentially limiting deep insights.
  • Privacy Concerns
    There may be concerns about privacy and data sharing practices, especially given the stricter regulations like GDPR.
  • Integration Limitations
    StatCounter may not integrate as seamlessly with other marketing and business tools compared to more comprehensive analytics solutions.

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

StatCounter videos

+ Add

Statcounter Website Review

More videos:

  • Review - Active Marketing & Analytics Statcounter Install and Stats Review
  • Review - StatCounter REVIEW

Category Popularity

0-100% (relative to NumPy and StatCounter)

NumPy

StatCounter

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 NumPy and StatCounter

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

StatCounter Reviews

Unleashing Alternatives: 15 Advanced Tools for Web Analytics Just Like Google Analytics(Brief and Crisp)
How long visitors stay on your website is often a strong indicator of content relevance or quality. If visitors are ‘bouncing’ quickly, it might be due to irrelevant content, poor website navigation, or slow loading times. StatCounter’s session duration analytics can help you pinpoint and address any such issues.
Source: medium.com
Unleashing Alternatives: 15 Advanced Tools for Web Analytics Just Like Google Analytics(Brief and Crisp)
How long visitors stay on your website is often a strong indicator of content relevance or quality. If visitors are ‘bouncing’ quickly, it might be due to irrelevant content, poor website navigation, or slow loading times. StatCounter’s session duration analytics can help you pinpoint and address any such issues.
Source: rishikap372.medium.com
10 Best Google Analytics Alternatives (Free & Paid)
Using Statcounter service, you can access information such as top keywords, the number of visitors, the path visitors take on each page (customer journey), etc. Therefore, we can call it one of the alternatives to Google Analytics.
Source: www.socialpros.co
Free SEO Tools To Improve Your Rankings
StatCounter (Basic Plan) - A website analytics tool that lets you track your website activity. The basic plan is limited to track the last 500 page views, suitable for hobbyist websites & blogs.
Source: www.megaleechers.com
The 11 Best Alternatives to Google Analytics
Great resource! I have been using GA and StatCounter but didn’t aware of the alternatives. I will definitely take a look at them all. I noticed that both GA and StatCounter don’t seem to give accurate counts – like I can take a look at StatPress WP plugin and they are showing visitors; but both GA and StatCounter showed little to no visitors! Very confusing. I guess I may...
Source: activegrowth.com

Social recommendations and mentions

Based on our record, NumPy should be more popular than StatCounter. It has been mentiond 119 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.

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 / 9 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

StatCounter mentions (16)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    StatCounter — Website Viewer Analytics. Free plan for analytics of 500 most recent visitors. - Source: dev.to / over 1 year ago
  • Linux has reached 4% for the partial Feburary 2024 data on StatCounter
    Could someone explain what I'm looking at? I think this is from `https://statcounter.com/` (?), but that site doesn't load for me at the moment, and there's no readme or description on that (1 star) repo, or its associated account. That partial data is very likely to regress to the mean over the rest of the month- though it's good to see high linux usage (on whatever metric this is tracking). - Source: Hacker News / over 1 year ago
  • Easy way to see how many unique page visits in Joomla?
    If what you want to see is "visitors" to different pages and not specific IP addresses and you are wary of jumping into Google Analytics, I was just recommended the free version of Statcounter. Source: almost 2 years ago
  • Statcounter.com will not load even after adding the whitelist
    Running PiHole and Unbound on a raspberry pie and https://statcounter.com refuses to load even after adding the domain to the white list. Source: about 2 years ago
  • SEO Tools the best out there. Try these
    StatCounter Http://statcounter.com/ Analytics Free, quick, and lightweight analytics solution. Often used by those who want to avoid using Google Analytics for privacy reasons. Source: over 2 years ago
View more

What are some alternatives?

When comparing NumPy and StatCounter, 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.

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

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.

Adobe Analytics - Adobe Analytics is an industry-leading solution that empowers you to understand your customers as people and steer your business with customer intelligence.

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