Software Alternatives, Accelerators & Startups
Register | Login

Jupyter VS Zoho DataPrep

Compare Jupyter VS Zoho DataPrep and see what are their differences

Electe
Discover Electe, our data analytics platform dedicated to SMEs. Don't let your data go unused, take your business into the future! 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

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.

Zoho DataPrep logo Zoho DataPrep

Zoho DataPrep (Best ETL tool in 2025) is an AI-powered no-code ETL self-service data preparation and cleansing software that helps cleanse, transform and enrich your data quality. Sign up for a FREE trial today!
  • Jupyter Landing page
    Landing page //
    2023-06-22
  • Zoho DataPrep Landing page
    Landing page //
    2023-06-25

Zoho DataPrep is an AI-powered advanced self-service data preparation software that helps organizations prepare huge volumes of data. As a no-code ETL platform, it eliminates the need for complex coding, making data preparation accessible to users of all backgrounds. Data can be imported from 50+ sources and DataPrep can automatically identify errors, discover data patterns, and transform and enrich data without coding. You can also set up automated export schedules to your preferred data destination. DataPrep also helps catalogue data and set up pipelines to sync the prepared data to Zoho Analytics and data warehouses, among many other destinations.

Best Alternative to Fivetran, Alteryx, Matillion, Datameer, Keboola, AWS Glue and Azure Data Factory.

Pricing: Starting Price: $40 per month

Pricing Details: Standard - $40 /user/month for yearly plans

Standard - $50 /user/month for monthly plans

Free Version: Free Version available.

Free Trial: Free Trial available.

Integrations: 50+

API: Yes, Zoho DataPrep offers API access

Languages- 24

LICENSING & DEPLOYMENT: Proprietary, Cloud Hosted, Web-based, Windows, Mac

SUPPORT: Email, Chat, Phone, 24x7 Support

Training: Webinar / Live Demo

Jupyter

Website
jupyter.org
Pricing URL
-
$ Details
-
Release Date
-
Edit details

Zoho DataPrep

Website
zoho.com
Pricing URL
Official Zoho DataPrep Pricing
$ Details
freemium $50.0 / Monthly (1 User)
Release Date
2021 July
Startup details
Country
United States
Founder(s)
Sridhar Vembu
Employees
5,000+
Edit details

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.

Zoho DataPrep features and specs

No features have been listed yet.

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

Zoho DataPrep videos

+ Add

Zoho DataPrep: How AI Driven CRM data Cleaning & Preparation Tool Helps Small Teams

More videos:

  • Demo - Zoho DataPrep 2.0 Overview: Witness How AI-Powered Data Preparation & ETL Platform Help Businesses
  • Tutorial - Introducing AI Data Preparation in Zoho DataPrep
  • Tutorial - Getting started - Zoho DataPrep
  • Review - What is Zoho DataPrep? | SuccessFULL Solutions
  • Tutorial - How to prepare ERP data using Zoho DataPrep

Category Popularity

0-100% (relative to Jupyter and Zoho DataPrep)

Jupyter

Zoho DataPrep

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Data Dashboard
96 96%
Data Dashboard
4% 4
Data Management
0 0%
Data Management
100% 100
Big Data Analytics
100 100%
Big Data Analytics
0% 0

User comments

Share your experience with using Jupyter and Zoho DataPrep. 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 Jupyter and Zoho DataPrep

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

Zoho DataPrep Reviews

We have no reviews of Zoho DataPrep yet.
Be the first one to post

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.

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 / 12 months ago
View more

Zoho DataPrep mentions (0)

We have not tracked any mentions of Zoho DataPrep yet. Tracking of Zoho DataPrep recommendations started around Sep 2021.

What are some alternatives?

When comparing Jupyter and Zoho DataPrep, 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.

Trifacta - Data Transformation Platform.

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

Tableau Prep - Tableau Prep is comprised of two products: Prep Builder and Prep Conductor.

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

Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

Loading...