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NumPy VS Stylus - User Styles Manager

Compare NumPy VS Stylus - User Styles Manager and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Stylus - User Styles Manager logo Stylus - User Styles Manager

Stylus is a userstyles editor and manager based on the source code of Stylish version 1.5.2.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Stylus - User Styles Manager Landing page
    Landing page //
    2023-01-05

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Stylus - User Styles Manager features and specs

  • Customization
    Stylus allows users to fully customize the appearance of websites by applying user-created CSS styles, enabling a personalized browsing experience.
  • Ease of Use
    The interface is user-friendly and intuitive, making it easy for both beginners and advanced users to manage and apply user styles.
  • Open Source
    Stylus is open-source software, which means it is developed collaboratively and transparently, with community-driven improvements and security.
  • CSS Preprocessor Support
    Stylus supports using preprocessors, allowing users to write more organized and reusable CSS with variables, nested rules, and more.
  • Community and Library
    Stylus has a strong community and access to a large library of pre-made user styles that can be easily discovered and installed.

Possible disadvantages of Stylus - User Styles Manager

  • Compatibility Issues
    Some user styles may not work properly with certain websites or may require regular updates due to changes in website code.
  • Performance Concerns
    Applying complex styles can sometimes lead to increased browser resource consumption and slower page loading times.
  • Security Risks
    Downloading and applying user-generated styles can potentially introduce security issues if malicious code is injected.
  • Learning Curve
    Users who are unfamiliar with CSS may face a learning curve when trying to create custom styles from scratch.
  • Limited Browser Support
    Stylus might not be supported across all browsers, limiting its use to those that provide the necessary extension infrastructure.

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Stylus - User Styles Manager videos

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Category Popularity

0-100% (relative to NumPy and Stylus - User Styles Manager)

NumPy

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Data Science And Machine Learning
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Data Science And Machine Learning
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Browser Extension
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Browser Extension
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Data Science Tools
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Developer Tools
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User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and Stylus - User Styles Manager

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

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Social recommendations and mentions

Based on our record, NumPy should be more popular than Stylus - User Styles Manager. It has been mentiond 119 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.

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 5 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 9 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 10 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 10 months ago
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Stylus - User Styles Manager mentions (48)

  • How to Customize Slack Fonts Using Stylus for Improved Readability
    Stylus is a browser extension that allows you to apply custom CSS to any website. Https://add0n.com/stylus.html. - Source: dev.to / 12 months ago
  • Make GoodReads 15% Less Annoying with One Weird Trick!
    Both of these are hosted on userstyles.world. To use them, you'll need to have a browser extension like Stylus . Then just click the blue Install button for each tool you want! Source: almost 2 years ago
  • Promote Your Work! July 2023 Self-Promotion thread
    These are both hosted on userstyles.world. I recommend using them with the Stylus browser extension, which works on Chrome, Firefox (including Firefox Nightly for Android) and Opera. (Pretty sure it will also work with Cascadea if you're on Safari but I haven't tested it yet.). Source: almost 2 years ago
  • Any way to make lemmy look more like old reddit?
    I wonder if Stylus would be good for this... Source: about 2 years ago
  • I tweaked satisfactory-calculator.com to be better for wide monitors!
    If you don't have a userstyles extension installed, you can get one here for Firefox or Chrome, but for Safari you'll have to do some tweaking. Source: about 2 years ago
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What are some alternatives?

When comparing NumPy and Stylus - User Styles Manager, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Dark Reader - Reduce eye strain in your browser with this extension that provides a dark theme for browsing.

OpenCV - OpenCV is the world's biggest computer vision library

Stylebot - Change the appearance of websites instantly. Preview and install styles created by other users on stylebot.me

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Amino Editor - Amino is a Chrome browser extension for customizing web page presentation with user CSS.

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