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Jupyter VS Neovim

Compare Jupyter VS Neovim and see what are their differences

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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.

Neovim logo Neovim

Vim's rebirth for the 21st century
  • Jupyter Landing page
    Landing page //
    2023-06-22
  • Neovim Landing page
    Landing page //
    2023-07-23

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.

Neovim features and specs

  • Extensibility
    Neovim is designed to be highly extensible with a robust API that allows for the development of custom plugins, making it easy to tailor the editor to individual workflows.
  • Asynchronous Plugins
    Support for asynchronous plugins enables smoother and faster performance by allowing tasks like linting and autocomplete to run in the background without freezing the editor.
  • Modern Codebase
    The refactored codebase improves maintainability and introduces new features more efficiently compared to the original Vim.
  • Compatibility
    Neovim maintains compatibility with existing Vim plugins and configuration, making it easier for users to transition from Vim.
  • Improved User Interface
    Neovim provides better support for modern terminal features, GUI interfaces, and offers features like an embedded terminal emulator.

Possible disadvantages of Neovim

  • Lack of Official GUI
    Neovim does not come with an official graphical user interface (GUI), which means users who prefer a graphical experience may need to rely on third-party options.
  • Smaller Community
    Although growing, Neovim’s community is smaller compared to Vim, which means fewer community-created resources and plugins.
  • Learning Curve
    New users might find Neovim’s highly customizable nature and reliance on configuration files challenging, especially if they are not familiar with Vim-type editors.
  • Potential Instability
    Frequent updates and changes can sometimes introduce bugs or instability, which may affect users who rely on a stable environment for their work.
  • Plugin Compatibility
    While most Vim plugins work, some could have compatibility issues or require modification to work with Neovim, necessitating additional effort from the user.

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

Neovim videos

+ Add

What is Neovim, and why should you care?

More videos:

Category Popularity

0-100% (relative to Jupyter and Neovim)

Jupyter

Neovim

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Text Editors
0 0%
Text Editors
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
IDE
0 0%
IDE
100% 100

User comments

Share your experience with using Jupyter and Neovim. 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 Neovim

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

Neovim Reviews

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

Social recommendations and mentions

Based on our record, Jupyter should be more popular than Neovim. 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 / about 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 / 8 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 / 11 months ago
View more

Neovim mentions (108)

  • My Tech Stack in 2025
    PDE (Personalized Development Environment): Neovim. - Source: dev.to / 21 days ago
  • Optimizing My Dev Workflow in 2025
    I've used VSCode for years. It's great, no doubt. But when you have to juggle up to 5 projects daily, you'll find that it's going to block you away. Mine feels heavy, especially with multiple windows and extensions. This is why I decided to find an alternative, until I started using NeoVim instead. - Source: dev.to / 24 days ago
  • Setting Up Neovim for Automad Theme Development
    As the developer of the Automad flat-file content management system, I wanted to make working with Automad themes in Neovim as smooth as possible. Automad has its own templating syntax, so I created tree-sitter-automad to provide proper syntax highlighting. Since it’s not yet an official parser, you need to manually register it in Neovim. To speed up template writing, you can also add custom snippets using... - Source: dev.to / about 2 months ago
  • How to turn NEOVIM into an IDE-like code editor in NIXOS?
    Welcome to my optimized Laravel development setup featuring Nvim with LazyVim integration. This configuration is tailored to enhance productivity and streamline the development workflow for Laravel projects. - Source: dev.to / about 2 months ago
  • Dear (Rust) Devs: Article Request
    You want to customize your Neovim config but you don't know Lua. - Source: dev.to / 2 months ago
View more

What are some alternatives?

When comparing Jupyter and Neovim, 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.

VS Code - Build and debug modern web and cloud applications, by Microsoft

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

Vim - Highly configurable text editor built to enable efficient text editing

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

Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.

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