Software Alternatives, Accelerators & Startups

Jupyter VS Trackboxx

Compare Jupyter VS Trackboxx and see what are their differences

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.

Trackboxx logo Trackboxx

GDPR compliant tracking without cookies! TRACKBOXX - Visitor tracking Made in Germany.
  • Jupyter Landing page
    Landing page //
    2023-06-22
  • Trackboxx Landing page
    Landing page //
    2023-02-05

Trackboxx is a simple and effective tool to record and evaluate visitors to your website. With Trackboxx we offer a clear and simple solution to evaluate what is happening on your website. No consent banner is required and is fully compliant with the Data Protection Act. The Trackboxx works without cookies and we do not store any personal data! This means that you don´t have to mention Trackboxx in any Consent Banner. So long as you are not using any other program that collects personal data, the Opt-in Option for example, Consent Banner is not required.

Trackboxx

$ Details
freemium €5.0 / Monthly (1 website, 1 user, 25,000 page impressions)
Platforms
Angular Laravel Node JS PHP
Release Date
2020 October

Jupyter videos

What is Jupyter Notebook?

More videos:

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

Trackboxx videos

Trackboxx -The Google Analytics Alternative!

Category Popularity

0-100% (relative to Jupyter and Trackboxx)
Data Science And Machine Learning
Analytics
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Tool
0 0%
100% 100

Questions and Answers

As answered by people managing Jupyter and Trackboxx.

What makes your product unique?

Trackboxx's answer:

Trackboxx is the first privacy-first webanayltics, developed in germany. We offer several features in the realm of web analytics that our direct competitors do not provide. This includes, for example, the tracking of external links, and soon, the e-commerce tracking, which does not exist in any of our competitors' offerings. Additionally, the "userjourney" will soon be implemented, providing our customers with entirely new possibilities forweb analysis.

Why should a person choose your product over its competitors?

Trackboxx's answer:

In the realm of privacy-first web analytics offerings, the representations, visualizations, and evaluation capabilities are quite similar. We decided to take Trackboxx a step further - moving away from mere "data presentation" to genuine analysis. Furthermore, we've also chosen to incorporate additional features and functions into Trackboxx, such as a fully functional e-commerce tracking and a user journey that enables detailed analysis and evaluations.

How would you describe your primary audience?

Trackboxx's answer:

Our customers essentially come from all sectors and company sizes. We have many "smaller" clients who want to monitor their own websites, but we also have a multitude of agencies and marketing experts who oversee both their own projects as well as those of their clients. Moreover, well-known, reputable clients have now started to rely on Trackboxx, such as various banks and health insurance companies.

What's the story behind your product?

Trackboxx's answer:

Trackboxx was founded in 2020 and develops and distributes web analytics software as a SaaS solution. The idea emerged when it became increasingly difficult to use Google Analytics for our own projects as well as for client projects in a data protection-compliant manner. Thus, there was a desire to develop an in-house solution. It quickly became clear that there was a large market for such a solution, leading to the decision to develop Trackboxx as a full-fledged SaaS solution.

Trackboxx is compliant with data protection regulations and does not use cookies or process personal data. As a result, there is no need for a consent banner when using it on one's own website.

Which are the primary technologies used for building your product?

Trackboxx's answer:

Laravel, Angular, NodeJS, Clickhouse for our database

Who are some of the biggest customers of your product?

Trackboxx's answer:

Plausible Fathom Analytics Simpleanalystics

User comments

Share your experience with using Jupyter and Trackboxx. For example, how are they different and which one is better?
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Reviews

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

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.
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.

Trackboxx Reviews

  1. Privacy first Tracking

    After quitting with google analytics i tested several solutions, like Matomo, plausible and simpleanalytics, i ended up with Trackboxx. Main reason was the clean dashboard that loads lighting fast. Another point was the roadmap - they are working (or already integrating) an e-commerce tracking what is very important for me.

    👍 Pros:    Faster and cheaper than others|Ui is very attractive|Ecommerce|Good price|Great customer support
    👎 Cons:    Some missing features
  2. Metric Data

    I have been using Trackboxx for almost 2 years now and very happy with the data that I retrieve. The URL builder is a great addition to help support my marketing campaigns and the ability to set up goals!

Social recommendations and mentions

Based on our record, Jupyter seems to be a lot more popular than Trackboxx. While we know about 206 links to Jupyter, we've tracked only 1 mention of Trackboxx. 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.

Jupyter mentions (206)

  • Interactive Visualizations of Rate-Limiting Algorithms
    Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / 7 days ago
  • scrape-yahoo-finance
    JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 29 days ago
  • Let’s build AI-tools with the help of AI and Typescript!
    Jupyter Lab web-based interactive development environment. - Source: dev.to / about 1 month ago
  • Scrape Redfin Property Data
    Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / about 1 month ago
  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 3 months ago
View more

Trackboxx mentions (1)

What are some alternatives?

When comparing Jupyter and Trackboxx, you can also consider the following products

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.

Fathom Analytics - Simple, trustworthy website analytics (finally)

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

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 🇪🇺

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

micro-analytics - Public analytics as a Node.js microservice 📈