Software Alternatives & Reviews

Observable Notebooks VS Jupyter

Compare Observable Notebooks VS Jupyter and see what are their differences

Observable Notebooks logo Observable Notebooks

The portfolio and technical blog of Chris Henrick – provider of professional web development, data visualization, GIS, mapping, & cartography services.

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.
  • Observable Notebooks Landing page
    Landing page //
    2021-06-14
  • Jupyter Landing page
    Landing page //
    2023-06-22

Observable Notebooks

Categories
  • Python IDE
  • Technical Computing
  • Software Development
  • Data Science Notebooks
Website clhenrick.io

Jupyter

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Data Science Notebooks
  • Data Science IDE
  • Data Analysis
Website jupyter.org

Observable Notebooks videos

Observable Notebooks and D3.Js with Amelia Wattenberger and Vlad Korobov

Jupyter videos

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 Observable Notebooks and Jupyter)
Data Science Notebooks
100 100%
0% 0
Data Science And Machine Learning
Python IDE
100 100%
0% 0
Data Dashboard
0 0%
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 Observable Notebooks and Jupyter

Observable Notebooks Reviews

We have no reviews of Observable Notebooks 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.
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.

Social recommendations and mentions

Based on our record, Jupyter seems to be more popular. It has been mentiond 202 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.

Observable Notebooks mentions (0)

We have not tracked any mentions of Observable Notebooks yet. Tracking of Observable Notebooks recommendations started around Jun 2021.

Jupyter mentions (202)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 25 days ago
  • Using IPython Jupyter Magic commands to improve the notebook experience
    Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments. - Source: dev.to / 26 days ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    They make it easy to launch multiple case-by-case data science projects and run your local code right from Jupyter Notebook. - Source: dev.to / about 2 months ago
  • MLOps in practice: building and deploying a machine learning app
    Talking to some colleagues and friends lately gathering some ideas of a nice Machine Learning project to build, I’ve seen that there’s a gap of knowledge in terms of how do one exactly uses a Machine Learning model trained? Just imagine yourself building a model to solve some problem, you are probably using Jupyter Notebook to perform some data clean up, perform some normalization and further tests. Then you... - Source: dev.to / 3 months ago
  • Stuff I Learned during Hanukkah of Data 2023
    This year I decided to commit to a set of tools on day 1 (Polars and Jupyter) and use them for the whole challenge. It seemed silly to do a whole new meandering walkthrough, so instead I'll highlight a few things that stuck out after finishing the challenge and sitting on it for a few days. Here we go! - Source: dev.to / 3 months ago
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What are some alternatives?

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

Kajero - Interactive JavaScript notebooks - create good-looking, responsive, interactive documents.

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.

Calculist - The open-source, web-based thinking tool that facilitates effective thinking for solving problems.

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

BeakerX - Open Source Polyglot Data Science Tool

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