Software Alternatives & Reviews


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.

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Jupyter Reviews and details

Jupyter Landing Page
Jupyter Landing Page

Social recommendations and mentions

We have tracked the following product recommendations or mentions on Reddit, HackerNews and some other sources. They can help you see what people think about Jupyter and what they use it for.
  • A Diagramming Software Which Combines Flowcharts And Codes?
    Maybe one of these two things: 1. 2. - Source: Reddit / 5 days ago
  • Literate Programming: Articles
    I've been experimenting a lot with using Jupyter Notebooks ( to get many features of literate programming. The tooling can be a bit clunky -- though JupyterLab and some plugins can go a long way. Importing notebooks into other notebooks or modules is still kind of weird even with the `ipynb` library. However, on the otherside of it all, you have a collection of documents that contain... - Source: Hacker News / 15 days ago
  • Why does Python look one way on my laptop and completely different in this video i wanted to watch?
    Jupyter Notebook - popular web browser based editor and run time environment for Python (and R). - Source: Reddit / 17 days ago
  • How to create YOLOv8-based object detection web service using Python, Julia, Node.js, JavaScript, Go and Rust
    To follow the sections started from this one, you need to have Python and Jupyter Notebooks installed. - Source: / 26 days ago
  • Which is better for my needs: Dual Boot or Virtual Box
    He's talking about Jupyter Notebooks. Its a whole programming methodology/paradigm that is based off Python and a few other things. I don't really understand it myself, I just know you'll run into it depending on how deep you get into learning Python and playing with AI or Data science things. - Source: Reddit / 21 days ago
  • [OC] Analyzing 15,963 Job Listings to Uncover the Top Skills for Data Analysts (update)
    Analysis was done in Jupyter Notebook with Python 3.10, Pandas, Matplotlib, wordcloud and Mercury framework. - Source: Reddit / 25 days ago
  • [OC] Data Analyst Skills in need based on 15,963 job listings
    Analysis was done in Jupyter Notebook with Python 3.10 kernel, Pandas, Matplotlib, wordcloud and Mercury framework to share notebook as a web application with widgets and code hidden. Gif created in Canva. - Source: Reddit / 27 days ago
  • how can I run only specific lines?
    You can use notebooks. Therefore an execution from line 4 to 10 is possible, but also from 0 to 10. jupyter. - Source: Reddit / about 1 month ago
  • Xonsh kernel for Jupyter
    Now with xontrib-jupyter you can use xonsh language in web-based Jupyter Notebook, JupyterLab and in terminal-based Euporie. - Source: Reddit / 2 months ago
  • Is it best just to use the terminal for python?
    You can also consider using Jupyter Notebook which gives a pretty nice interactive way of experimenting with Python: - Source: Reddit / 2 months ago
  • Considerable R Experience, Zero Python Experience - Where to Start?
    In terms of working environments, a lot of data science work tends to take place in Jupyter notebooks. - Source: Reddit / 3 months ago
  • Allowing execution of other languages inside a completed Rust project
    Do you mean something like Jupyter (ipython) notebooks? It’s primarily oriented towards python but they actually have support for other languages too. - Source: Reddit / 3 months ago
  • I'm 15 years old and would like to be an astrophysicist when I get older.
    If possible, think about a minor in math and/or CS. An undergrad astrophysics degree can be a bit hard to find; physics with a minor or concentration in it seems to be more common. regardless, those degrees will require a lot of math so it'll be incredibly beneficial to have a minor, and it'll probably be easy to get. I only had to take two extra math classes and they counted as electives I needed anyway for my... - Source: Reddit / 3 months ago
  • Intro' to Python for Data Science
    Download the latest version of Python for your operating system from here. You can read more about setting up a Python development using different platforms like VS Code, PyCharm, Jupyter Notebooks, etc. - Source: / 3 months ago
  • Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
    However, the best option to develop machine learning and data science solutions is Jupyter Notebook, so, ensure that it's installed before continue. Then, install Jupyter support for Julia package using REPL:. - Source: / 3 months ago
  • I'd like your opinion on my choice of Bash for data manipulation/cleaning and some stats
    Another benefit of using Python is that it's compatible with Jupyter Lab/Notebook. The feedback loop is much tighter. But I suppose if you don't have much time on your hands, it's just another tool to learn. And if your peers use Python, I'm sure you have probably already heard about it. - Source: Reddit / 4 months ago
  • 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: / 4 months 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 / 4 months 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: / 5 months 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 I personally find it a great way to learn. It would be best if you supplemented the book with other resources. Youtube,... - Source: Reddit / 5 months 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: / 5 months ago

External sources with reviews and comparisons of Jupyter

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 for in-memory data processing. The...
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?...

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