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NumPy VS JS Bin

Compare NumPy VS JS Bin and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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Contents:
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  3. » Reviews
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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

JS Bin logo JS Bin

Sample of the bin:
  • NumPy Landing page
    Landing page //
    2023-05-13
  • JS Bin Landing page
    Landing page //
    2018-10-09

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.

JS Bin features and specs

  • Real-time Collaboration
    JS Bin allows multiple users to work on the same code simultaneously, making it easy for teams to collaborate on front-end projects in real-time.
  • Instant Preview
    Changes to HTML, CSS, and JavaScript code are previewed instantly, allowing users to see the results of their work without manual refreshing or deploying.
  • Embed Feature
    Users can easily embed their bins into other web pages, making it convenient to share examples or demonstrate code snippets in blogs or documentation.
  • Debugging Tools
    JS Bin includes built-in debugging tools such as console log inspection, making it easier to identify and fix issues directly within the platform.
  • Customizable Environments
    Users can set up their preferred coding environment with various settings, including templates, libraries, and preprocessors, to enhance productivity.

Possible disadvantages of JS Bin

  • Limited Offline Use
    As a web-based application, JS Bin requires an internet connection to access and use, limiting its functionality in offline scenarios.
  • Performance Constraints
    Complex or heavy projects may experience performance issues as the platform is designed for smaller snippets and quick testing rather than large-scale applications.
  • Security Concerns
    Public sharing of bins can lead to exposure of sensitive code or data. Users need to be cautious about publicly sharing any code with proprietary or confidential information.
  • Limited Backend Capabilities
    JS Bin is focused on front-end development, so it offers minimal support for backend technologies, which may limit its use for full-stack development.
  • Subscription Cost for Premium Features
    Advanced features and additional functionalities often require a paid subscription, which may not be suitable for all users, especially hobbyists or students.

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

JS Bin videos

+ Add

JS Bin saving - a quick explanation

More videos:

  • Review - Customising JS Bin's editor
  • Review - JS Bin - shortcut urls

Category Popularity

0-100% (relative to NumPy and JS Bin)

NumPy

JS Bin

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Programming
0 0%
Programming
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Text Editors
0 0%
Text Editors
100% 100

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 JS Bin

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

JS Bin Reviews

8 Best Replit Alternatives & Competitors in 2022 (Free & Paid) - Software Discover
A live pastebin for HTML, CSS & javascript and a range of processors, including scss, coffeescript, jade and more. JS bin – collaborative javascript debugging.
Source: www.softwarediscover.com
6 Coding Playgrounds For Web Developers
What sets it apart from the previous playgrounds is that JS Bin allows you to download files to your computer, a nifty feature that may prove useful to developers, especially when fiddling around with code while offline. You can also create private “bins” on JS Bin but you will have to pay for this feature. Unfortunately, at this point, JS Bin doesn’t have a collaboration...
Source: www.hongkiat.com

Social recommendations and mentions

Based on our record, NumPy should be more popular than JS Bin. 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 / 3 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 / 7 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 / 8 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 / 9 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 / 9 months ago
View more

JS Bin mentions (25)

  • Ask HN: How can I get my 7-year-old started with web development?
    I don't understand why all these comments are against web dev. Creating an html file is quick, easy, and most importantly for kids, you instantly get visual results! You don't even need to open ugly terminal consoles, you could just use something like JS Bin (https://jsbin.com/) or JSFiddle or CodePen. I used to volunteer with CoderDojo, a non-profit that hosted intro to coding workshops for kids of all ages... - Source: Hacker News / 3 months ago
  • 100+ Must-Have Web Development Resources
    JS Bin: Allows you to save edited code locally or share a URL for collaborative debugging. Supports HTML, CSS, JavaScript, Markdown, Jade, and Sass. - Source: dev.to / 7 months ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Jsbin.com — JS Bin is another playground and code-sharing site of front-end web (HTML, CSS, and JavaScript. It Also supports Markdown, Jade, and Sass). - Source: dev.to / over 1 year ago
  • 10 best Javascript debugging tools
    JS Bin is one of the useful JavaScript debugging tools designed for developers working with HTML, CSS, and JavaScript. It gives them the opportunity to test and debug their code snippets in a real-world setting. The fact that this tool is open-source is fantastic. - Source: dev.to / over 1 year ago
  • <code> + linebreak breaks code segment. <code> without linebreak doesn't.
    If I paste both in jsbin.com, the both show all content on 1 line. Source: about 2 years ago
View more

What are some alternatives?

When comparing NumPy and JS Bin, 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.

CodePen - A front end web development playground.

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

JSFiddle - Test your JavaScript, CSS, HTML or CoffeeScript online with JSFiddle code editor.

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

Pastebin.com - Pastebin.com is a website where you can store text for a certain period of time.

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