Software Alternatives, Accelerators & Startups
Register | Login

StatCounter VS Jupyter

Compare StatCounter VS Jupyter and see what are their differences

LiveSession
LiveSession helps you analyze users’ behavior, improve UX, find JS bugs, and increase conversion rates using session replays, and event-based product analytics. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

Jupyter logo Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
  • StatCounter Landing page
    Landing page //
    2022-10-18
  • Jupyter Landing page
    Landing page //
    2023-06-22

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.

Jupyter features and specs

  • Interactive Computing
    Jupyter allows real-time interaction with the data and code, providing immediate feedback and making it easier to experiment and iterate.
  • Rich Media Output
    It supports output in various formats including HTML, images, videos, LaTeX, and more, enhancing the ability to visualize and interpret results.
  • Language Agnostic
    Jupyter supports multiple programming languages through its kernel system (e.g., Python, R, Julia), allowing flexibility in the choice of tools.
  • Collaborative Features
    It enables collaboration through shared notebooks, version control, and platform integrations like GitHub.
  • Educational Tool
    Jupyter is widely used for teaching, thanks to its easy-to-use interface and ability to combine narrative text with code, making it ideal for assignments and tutorials.
  • Extensibility
    Jupyter is highly extensible with a large ecosystem of plugins and extensions available for various functionalities.

Possible disadvantages of Jupyter

  • Performance Issues
    For larger datasets and more complex computations, Jupyter can be slower compared to running scripts directly in a dedicated IDE.
  • Version Control Challenges
    Managing version control for Jupyter notebooks can be cumbersome, as they are not plain text files and include metadata that can make diffing and merging complex.
  • Resource Intensive
    Running Jupyter notebooks can be resource-intensive, especially when working with multiple large notebooks simultaneously.
  • Security Concerns
    Because Jupyter allows code execution in the browser, it can be a potential security risk if notebooks from untrusted sources are run without restrictions.
  • Dependency Management
    Managing dependencies and ensuring that the notebook runs consistently across different environments can be challenging.
  • Less Suitable for Production
    Jupyter is often considered more as a research and educational tool rather than a production environment; transitioning from a notebook to production code can require significant refactoring.

StatCounter videos

+ Add

Statcounter Website Review

More videos:

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

Jupyter videos

+ Add

What is Jupyter Notebook?

More videos:

  • Tutorial - Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough
  • Review - JupyterLab: The Next Generation Jupyter Web Interface

Category Popularity

0-100% (relative to StatCounter and Jupyter)

StatCounter

Jupyter

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 Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using StatCounter and Jupyter. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare StatCounter and Jupyter

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

Jupyter Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Once you install nteract, you can open your notebook without having to launch the Jupyter Notebook or visit the Jupyter Lab. The nteract environment is similar to Jupyter Notebook but with more control and the possibility of extension via libraries like Papermill (notebook parameterization), Scrapbook (saving your notebook’s data and photos), and Bookstore (versioning).
Source: lakefs.io
7 best Colab alternatives in 2023
JupyterLab is the next-generation user interface for Project Jupyter. Like Colab, it's an interactive development environment for working with notebooks, code, and data. However, JupyterLab offers more flexibility as it can be self-hosted, enabling users to use their own hardware resources. It also supports extensions for integrating other services, making it a highly...
Source: deepnote.com
12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing
Jupyter Notebook is a widely popular tool for data scientists to work on data science projects. This article reviews the top 12 alternatives to Jupyter Notebook that offer additional features and capabilities.
Source: noteable.io
15 data science tools to consider using in 2021
Jupyter Notebook's roots are in the programming language Python -- it originally was part of the IPython interactive toolkit open source project before being split off in 2014. The loose combination of Julia, Python and R gave Jupyter its name; along with supporting those three languages, Jupyter has modular kernels for dozens of others.
Source: searchbusinessanalytics.techtarget.com
Top 4 Python and Data Science IDEs for 2021 and Beyond
Yep — it’s the most popular IDE among data scientists. Jupyter Notebooks made interactivity a thing, and Jupyter Lab took the user experience to the next level. It’s a minimalistic IDE that does the essentials out of the box and provides options and hacks for more advanced use.
Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, Jupyter seems to be a lot more popular than StatCounter. While we know about 216 links to Jupyter, we've tracked only 16 mentions of StatCounter. 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.

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: about 2 years ago
View more

Jupyter mentions (216)

  • The 3 Best Python Frameworks To Build UIs for AI Apps
    Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / about 2 months ago
  • LangChain: From Chains to Threads
    LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 3 months ago
  • Applied Artificial Intelligence & its role in an AGI World
    Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 4 months ago
  • Jupyter Notebook for Java
    Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 8 months ago
  • JIRA Analytics with Pandas
    One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / 11 months ago
View more

What are some alternatives?

When comparing StatCounter and Jupyter, 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.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Matomo - Matomo is an open-source web analytics platform

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Loading...