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Which is more popular?
Based on our record, Matplotlib
seems to be a lot more popular than ShellNewHandler.
While we know about 114 links to Matplotlib,
we've tracked only 2 mentions of ShellNewHandler.
social mentions
114 vs 2
Data Science And Machine Learning popularity
100% vs 0%
Base details
Website, pricing, platforms and company facts side by side.
Versatility Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
Customization It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
Integrations Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
Community and Documentation It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
Interactivity Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
Publication-Quality The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.
Possible disadvantages
Complexity While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
Performance Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
Modern Aesthetics Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
3D Plots Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
Size and Structure The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.
No features have been listed yet.
Analysis
An editorial look at what each product does well and who it suits.
MatplotlibShellNewHandler
Overall verdict
Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.
Why this product is good
Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.
Recommended for
Data scientists and analysts needing to create detailed, customized visual representations of their data.
Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
Python developers who require integration with other scientific computing libraries like NumPy and Pandas.
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
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of...
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data...
Recommendations tracked on public social media and blogs since March 2021.
Matplotlib114 mentionsShellNewHandler2 mentions
The soul file
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review....
- Source: dev.to
/
8 months ago
Numbers are useful, but sometimes it’s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw...
- Source: dev.to
/
11 months ago
libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:.
- Source: dev.to
/
12 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 Matplotlib and ShellNewHandler
When comparing Matplotlib and ShellNewHandler, you can also consider the following products.
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
