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
Observable Notebooks Landing Page
Jupyter Landing Page
Jupyter Landing Page

Observable Notebooks details

Categories
Python IDE Technical Computing Software Development
Website clhenrick.io  

Jupyter details

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

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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

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.
The Best ML Notebooks And Infrastructure Tools For Data Scientists
Jupyter Notebook is an open-source platform that supports more than 40 programming languages, including R and Python. ipynb, the default format for Jupyter files, is a JSON file and can be easily version controlled and shared using email, Dropbox, Github, and Jupyter Notebook Viewer. Jupyter Notebook supports big data integration through Apache Spark, a top analytics engine...
Top 5 Python IDEs For Data Science
1071070Related postsmust readpython+2Jupyter Notebook Tutorial: The Definitive GuideKarlijn WillemsJanuary 9th, 2019machine learning+2Deep Learning With Jupyter Notebooks In The CloudDan BeckerMarch 23rd, 2017learning data science+2AWS EC2 Tutorial For BeginnersMichael GalarnykDecember 6th, 2017Post a CommentSubscribe to RSSAboutTermsPrivacyWant to leave a comment?...

Social recommendations and mentions

Based on our record, Jupyter seems to be more popular. It has been mentiond 172 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. 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 (172)

  • How To Start Learning Data Analysis, Step By Step Guide
    Jupyter Notebook system: It makes testing, sharing, and creating life documents, codes, and text easy. Because of its markdown functionality, jupyter notebooks are more popular with non-technical folks. - Source: dev.to / 7 days ago
  • [Seeking] Self hosted vocal audio split tool
    Unfortunately I haven't heard of a interface for spleeter, that you can selfhost. The only thing I could think of, is self hosting a python script using smth like jupyterlab. - Source: Reddit / 12 days ago
  • How to raise the quality of scientific Jupyter notebooks
    Jupyter has emerged as a fundamental component in artificial intelligence (AI) solution development and scientific inquiry. Jupyter notebooks are prevelant in modern education, commercial applications, and academic research. The Insight Toolkit (ITK) is an open source, cross-platform toolkit for N-dimensional processing, segmentation, and registration used to obtain quantitative insights from medical,... - Source: dev.to / 20 days ago
  • i don't understand neither the basic source code, what can i do?
    A single book is not enough. Everyone learns differently. I'm a visual learner and find immediate feedback very helpful. My first language was Javascript, and it felt like magic just refreshing the page to see my results. You can do something similar with Jupyter Notebooks https://jupyter.org/. I personally find it a great way to learn. It would be best if you supplemented the book with other resources. Youtube,... - Source: Reddit / 23 days ago
  • Machine Learning in .NET with F# and ML.NET 2.0
    Polyglot Notebooks are the new name of Microsoft's .NET Interactive Notebooks project. This project adds a new kernel to Jupyter Notebooks and allows you to write F#, C#, HTML, SQL, and other languages in an interactive data science notebook. - Source: dev.to / about 1 month ago
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What are some alternatives?

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

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

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.

iPython - iPython provides a rich toolkit to help you make the most out of using Python interactively.

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

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

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

User reviews

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