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Mimo VS Jupyter

Compare Mimo VS Jupyter and see what are their differences

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Contents:
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Mimo logo Mimo

Learn how to code on your iPhone📱

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.
  • Mimo Landing page
    Landing page //
    2023-10-09
  • Jupyter Landing page
    Landing page //
    2023-06-22

Mimo

Website
getmimo.com
Pricing URL
Official Mimo Pricing
Release Date
2016 January
Startup details
Country
Austria
State
Wien
City
Vienna
Founder(s)
Dennis Daume
Employees
10 - 19
Edit details

Jupyter

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

Mimo features and specs

  • Interactive Learning
    Mimo offers interactive exercises that make coding practice engaging and effective for learners.
  • Beginner-Friendly
    The app is designed with beginners in mind, offering step-by-step tutorials and explanations.
  • Mobile Accessibility
    Mimo is available as a mobile app, making it convenient to learn coding on the go.
  • Gamification
    The learning process is gamified with challenges and rewards, which helps to keep users motivated.
  • Wide Range of Topics
    Mimo covers a variety of programming languages and topics, including Python, JavaScript, and web development.
  • Community Support
    Users have access to a community where they can ask questions and get support from other learners.

Possible disadvantages of Mimo

  • Limited Advanced Content
    Advanced learners may find the content too basic and seek more in-depth materials elsewhere.
  • Subscription Cost
    The free version has limited features; users need to subscribe to a paid plan to access comprehensive courses.
  • Lack of Real-World Projects
    The platform may not offer enough real-world projects to help learners apply their skills in practical scenarios.
  • Possible Over-Simplification
    Simplifying complex topics for beginners could mean important nuances are overlooked.
  • In-App Purchases
    Some users might find the frequent prompts for in-app purchases distracting and disruptive.

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.

Mimo videos

+ Add

Learn to code with an app? Mimo - The app review show Ep 8

More videos:

  • Review - Can you learn to code with an app? Mimo: Learn to Code - 1 year review
  • Review - Velxtech Mimo Kit - Leafly Reviews

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 Mimo and Jupyter)

Mimo

Jupyter

Online Learning
100 100%
Online Learning
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Tool
100 100%
Tool
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

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Reviews

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

Mimo Reviews

  1. Rached Noureddin
    Mimo The Minimalistic looking app

    been using mimo for a time and finished Python course as a noob, i can say it's a good experience since they made the course like having a bike with third wheel which is great for home learners, your brain not ready to debug something you don't know, that stage also is tought as a last lesson, how to debug your program, my experience was all in all great, and this coming from me a Lazy Person :)

    👍 Pros:    Easy to use|Solid learning method|Repetitive questions explaination|Constantly improving
    👎 Cons:    English language only

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 Mimo. While we know about 216 links to Jupyter, we've tracked only 21 mentions of Mimo. 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.

Mimo mentions (21)

  • Recommend a mobile app to learn JavaScript - HTML and CSS as well.
    Mimo is an excellent learning app and beginner friendly. Source: over 2 years ago
  • Is going to collage even worth it if AI is going to replace us anyways?
    Web and Python Development: https://getmimo.com (Checkout out the website version). Source: over 2 years ago
  • Supplement learning on my phone
    I think what you are looking for is: https://getmimo.com/ (there might be some similar ones). Source: almost 3 years ago
  • 100 Days of Code : Day 1 to 5
    Mimo : an application, when I don't have too much time or don't have access to my PC. - Source: dev.to / almost 3 years ago
  • React-Redux Roadmap Zero to Advanced: Part 1 🚀
    Mimo App: Learning to code can be easy and fun. Start learning now! (getmimo.com) Beginners can use this app to build your basic foundation on HTML, CSS, JS. Backend developers who deliberately suck at front-end can also use this app to get clarity on the basics. - Source: dev.to / almost 3 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 / 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 / 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

What are some alternatives?

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

SABnzbd - SABnzbd is a free/open-source cross-platform binary newsreader written in Python.

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.

Newshosting - Join with any administration arrange and get finish access to the simple to-utilize Newshosting Usenet Browser.

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

NZBGet - The most efficient usenet downloader.

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

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