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DataDome VS Jupyter

Compare DataDome VS Jupyter and see what are their differences

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DataDome logo DataDome

DataDome provides innovative technology and human expertise to block bad bots.

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.
  • DataDome Landing page
    Landing page //
    2019-06-17
  • Jupyter Landing page
    Landing page //
    2023-06-22

DataDome

Website
datadome.co
Release Date
2015 January
Startup details
Country
France
State
Ile-de-France
City
Paris
Founder(s)
Benjamin Fabre
Employees
10 - 19
Edit details

Jupyter

Website
jupyter.org
Release Date
-
Edit details

DataDome features and specs

  • Advanced Bot Protection
    DataDome provides real-time bot detection and mitigation, offering advanced solutions to prevent malicious traffic and automated attacks.
  • Machine Learning Algorithms
    Utilizes sophisticated machine learning algorithms to continuously analyze and adapt to new threats, ensuring up-to-date protection.
  • Comprehensive Dashboard
    Offers a user-friendly and detailed dashboard for monitoring bot activities and understanding traffic patterns in real-time.
  • Ease of Integration
    Provides easy integration with various platforms and services via APIs, making it accessible for most IT infrastructures.
  • Low Latency
    Designed to add minimal latency to web traffic, ensuring that legitimate user experience is not adversely affected.
  • Global Coverage
    Has a globally distributed network to protect assets across different geographical locations effectively.
  • Customization Options
    Offers extensive customization to set specific rules and configurations tailored to unique business needs.
  • 24/7 Support
    Provides round-the-clock technical support to address any issues or queries, ensuring continuous protection without downtime.

Possible disadvantages of DataDome

  • Cost
    DataDome's advanced features come at a premium price point, which may be a significant investment for smaller businesses.
  • Complexity
    The array of features and customization options can introduce a learning curve, requiring time and expertise to fully leverage its capabilities.
  • False Positives
    Despite advanced algorithms, there can still be instances of false positives, where legitimate traffic may be flagged as suspicious.
  • Platform Dependency
    Effectiveness can vary depending on the specific platform or technology stack, potentially necessitating adjustments or additional configurations.
  • Resource Intensive
    Requires adequate resources and infrastructure to handle its comprehensive functionalities and data processing needs.

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.

Analysis of DataDome

Overall verdict

  • DataDome is generally regarded as a reliable and effective tool for bot protection, with many positive reviews highlighting its ease of use, quick deployment, and comprehensive security features. It is suitable for businesses looking to enhance their web security measures against automated attacks.

Why this product is good

  • DataDome is considered a good option for bot protection due to its advanced machine learning algorithms that detect and mitigate malicious traffic in real-time. It provides comprehensive protection against various types of bot attacks, such as credential stuffing, web scraping, and account takeover. Furthermore, DataDome's solution is designed to be easy to integrate into various web platforms and offers scalability for businesses of different sizes.

Recommended for

  • E-commerce businesses that need to protect their online stores from scraper bots and account takeover attacks.
  • Media companies seeking to safeguard their content from unauthorized scraping and data extraction.
  • Financial institutions that require strong defenses against credential stuffing and fraud.

DataDome videos

+ Add

DataDome real-time bot protection Dashboard Demo

More videos:

  • Review - #FIC2020 [FT02] DATADOME - Security, webperf and bandwidth savings
  • Review - AWS & DataDome | Les conseils du fondateur #StartupMoments

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 DataDome and Jupyter)

DataDome

Jupyter

Security & Privacy
100 100%
Security & Privacy
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using DataDome and Jupyter. 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 DataDome and Jupyter

DataDome Reviews

We have no reviews of DataDome yet.
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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 DataDome. While we know about 216 links to Jupyter, we've tracked only 5 mentions of DataDome. 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.

DataDome mentions (5)

  • 10 Best Practices for API Rate Limiting in 2025
    These advancements highlight how adaptive strategies are essential as APIs handle greater traffic and security challenges in 2025. As noted by DataDome:. - Source: dev.to / 3 months ago
  • Website Bypasser doesn't work
    I think part of the problem is the SS bypass function is just not great. Another part might be not having everything whitelisted that needs to be. For example, using the NoScript browser plugin I can see that this webpage right here attempts connections to reddit.com, redditmedia.com, redditstatic.com, datadome.co, google.com and sentry.io. Source: over 2 years ago
  • What are you using lambda @ edge and cloudfront functions for ?
    We have AWS enterprise support, after weeks of trying to mitigate with WAF under the direction of AWS, they finally recommended DataDome to us (via AWS MarketPlace) and admitted that Shield/WAF isn't as advanced as their solution. Source: about 3 years ago
  • How to rate-limit website traffic
    There are specialized products like https://datadome.co/ (disclaimer: I know them) which are specialized in bot protection, they're probably too expensive for a personal use but maybe you can try reaching their support to see if there'd be a way to get it cheap for personal use. Source: over 3 years ago
  • Ask HN: Who is hiring? (June 2021)
    DataDome | NYC / Paris | Full Time | Onsite or Remote https://datadome.co https://docs.datadome.co/ Bot hunters is a full time job! With our SaaS cybersecurity technology, we detect and manage non-human traffic in real-time to protect our clients’ websites and APIs. Named as a Strong Performer by Forrester, DataDome is a growing cybersecurity pioneering in bot detection and protection for content publishers,... - Source: Hacker News / almost 4 years ago

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 / 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 / 4 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 / 5 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 / 9 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 / 12 months ago
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What are some alternatives?

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

GeeTest CAPTCHA - GeeTest protects your websites, mobile Apps and APIs from bot threats.

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.

MTcaptcha - Enterprise Captcha solutions

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

hCaptcha - Do you use a captcha to keep out bots? hCaptcha is a drop-in replacement for reCAPTCHA that earns website owners money and helps companies get their data labeled.

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

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