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Zendesk Support VS Jupyter

Compare Zendesk Support VS Jupyter and see what are their differences

BoldDesk
Premium Customer Service Software to manage your customer support. Manage support email, publish self-help articles, and automate repetitive tasks. featured
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Zendesk Support logo Zendesk Support

Social Customer Support and Help Desk and Ticketing

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.
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  • Jupyter Landing page
    Landing page //
    2023-06-22

Zendesk Support features and specs

  • Multichannel Support
    Zendesk Support enables integration across multiple channels such as email, chat, social media, and phone, ensuring customers can reach out through their preferred medium.
  • Customizable Workflows
    The platform offers extensive customization options, allowing businesses to tailor workflows, ticket forms, and automated processes to fit specific needs.
  • Robust Reporting and Analytics
    Zendesk provides comprehensive reporting and analytics tools, giving organizations insights into customer interactions and agent performance to help optimize support operations.
  • Scalability
    Zendesk Support is designed to scale with growing businesses, offering various plans and add-ons that can accommodate increasing support needs.
  • Third-Party Integrations
    The platform supports numerous integrations with third-party applications such as CRM systems, e-commerce platforms, and project management tools, enhancing its functionality.
  • User-Friendly Interface
    Zendesk boasts an intuitive and easy-to-navigate interface, which can reduce the learning curve and improve the efficiency of support agents.

Possible disadvantages of Zendesk Support

  • Cost
    The pricing can be steep, especially for small businesses or startups, as various features and advanced functionalities are available only in higher-tier plans.
  • Complexity
    For companies new to customer support software, the comprehensive set of features and customization options may initially be overwhelming.
  • Limited Basic Plan
    The basic plans come with limited features, which may not be sufficient for businesses with specific needs or more complex support requirements.
  • Performance Issues
    Some users have reported occasional performance issues, including slow load times and system lags, which can hinder productivity.
  • Limited Offline Support
    Zendesk Support is cloud-based and may offer limited functionality when offline, potentially posing an issue for teams without reliable internet access.

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 Zendesk Support

Overall verdict

  • Overall, Zendesk Support is highly regarded for companies seeking an effective and comprehensive customer support solution. It is particularly praised for its flexibility, allowing businesses to tailor the system to their specific needs.

Why this product is good

  • Zendesk Support is a popular customer service platform known for its ease of use, robust feature set, and scalability. It offers tools like ticketing systems, automation, reporting, analytics, and integrations with other apps, making it suitable for businesses of various sizes. Users often highlight its intuitive interface and strong support community as major benefits.

Recommended for

    Zendesk Support is recommended for small to large businesses that require a reliable and customizable customer service solution. It is ideal for teams looking to streamline their support processes, improve customer satisfaction, and provide multi-channel support across emails, chats, and social media.

Zendesk Support videos

+ Add

Introduction to Zendesk Support (for beginners)

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 Zendesk Support and Jupyter)

Zendesk Support

Jupyter

Customer Support
100 100%
Customer Support
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Help Desk
100 100%
Help Desk
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Zendesk Support 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 Zendesk Support and Jupyter

Zendesk Support Reviews

The Best Help Desk Software in 2020
Zendesk offers a variety of help desk solutions, but some of them can be broken out into individual packages. For example, the Zendesk Support option gives support teams custom ticketing fields, mobile and web interfaces, SLA management, and multilingual support. Essentially, a ticketing system. In order to add live chat and messaging, you need to also subscribe to Zendesk...
Source: www.jitbit.com
Best helpdesk software of 2020: for ticketing and support
Zendesk Support is a software package that provides organization to put a variety of customer support interactions in one accessible database. It has the features for an efficient workflow, including web widgets, the ability to search a customer’s history, and predefined ticket responses. Another standout feature is integrated surveys for customer satisfaction ratings,...
Source: www.techradar.com
5 Amazing Help Desk Apps That Will Help You Scale Your Customer Support
Next up, we have Zendesk Support. This is a popular help desk app, and it’s used by major companies such as Uber, Squarespace, Fossil, and Vimeo. The big selling point is better integration with your other departments. When you combine it with the other tools provided by Zendesk, you can focus more on customer experience rather than just ticket support. That being said, even...
Source: www.ltvplus.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 more popular. It has been mentiond 216 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.

Zendesk Support mentions (0)

We have not tracked any mentions of Zendesk Support yet. Tracking of Zendesk Support recommendations started around Mar 2021.

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 / 3 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 / about 1 year ago
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What are some alternatives?

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

Freshdesk - Freshdesk is a cloud-based customer support software that lets you support customers through traditional channels like phone and email, social channels like Facebook and Twitter, and your own branded community

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.

Zoho Desk - Industry's first context-aware Helpdesk Software

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

Salesforce Service Cloud - Service Cloud integrates customer service with social networks and provides a self-service customer portal and knowledge base system.

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

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