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.
Sourced crypto market data with indicator monitoring, market regime context and research. BTC, ETH, XRP, SOL + major indices monitored 24/7. Educational content — not investment advice.
sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Which is more popular?
Based on our record, Jupyter
seems to be a lot more popular than ShellNewHandler.
While we know about 224 links to Jupyter,
we've tracked only 2 mentions of ShellNewHandler.
social mentions
224 vs 2
Data Science And Machine Learning popularity
100% vs 0%
Base details
Website, pricing, platforms and company facts side by side.
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
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.
No features have been listed yet.
Analysis
An editorial look at what each product does well and who it suits.
JupyterShellNewHandler
No analysis of Jupyter yet.
Overall verdict
ShellNewHandler is a niche, lightweight utility hosted on SourceForge designed to give users more control over the Windows 'New' context menu (the ShellNew menu). It can be considered good for its specific narrow use case, but it is an older, minimally maintained tool that may not suit all users, especially those on modern Windows versions.
Why this product is good
Provides direct control over customizing the Windows right-click 'New' menu, allowing users to add or remove file type entries
Lightweight and free, without bundled bloatware typical of some other free utilities
Simple and focused in scope, making it easy to understand for its specific purpose
Open distribution via SourceForge allows transparency and no-cost access
Recommended for
Power users who want to declutter or customize the Windows New context menu
IT administrators managing standardized desktop environments across multiple machines
Users comfortable with older utility-style tools and Windows registry-related tweaks
Not recommended for casual users seeking modern, actively supported software with regular updates
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...
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...
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.
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab....
- Source: dev.to
/
6 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable...
- Source: dev.to
/
6 months ago
I recently got libreoffice, but now the new option in right click looks like a mess. Can someone help me get rid of them please?
Use Shell New Handler. Run the portable app and simply untick the items you don't want to appear in your new context menu.
Source:
about 4 years ago
This menu should be easy to add/remove programs to... Who is really creating Access Databases from this menu often enough to keep it here? (Not me!) Is there an easy way to edit this?
I've always used ShellNewHandler for this. It's a really simple portable utility that allows you to remove most of the items from that menu. Tested it out on Windows 11 and it's still compatible.
Source:
over 5 years ago
Alternatives to Jupyter and ShellNewHandler
When comparing Jupyter and ShellNewHandler, you can also consider the following products.
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.
Looker
Google BigQuery
Databricks
Presto DB
Rakam
Informatica
Concurrent
