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NumPy VS Plotly.js

Compare NumPy VS Plotly.js and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Plotly.js logo Plotly.js

Open-source JavaScript charting library behind Plotly and Dash - plotly/plotly.js
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Plotly.js Landing page
    Landing page //
    2023-09-26

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.

Plotly.js features and specs

  • Interactive Visualizations
    Plotly.js provides highly interactive charting capabilities, allowing users to hover, zoom, and pan easily within charts, enhancing the user experience.
  • Wide Range of Chart Types
    The library supports a comprehensive variety of chart types, from simple line and bar charts to more complex types like histograms, scatter plots, and even 3D and geographic plots.
  • Cross-Platform Compatibility
    Plotly.js works seamlessly across different platforms and browsers, ensuring consistent chart rendering and functionality whether used on desktops or mobile devices.
  • Customizable
    Users have a high degree of control over the appearance and behavior of plots, with numerous options to customize colors, legends, tooltips, and more.
  • Integration with Dash
    Plotly.js integrates well with the Dash framework, enabling the creation of interactive web applications that are highly visual and data-driven.

Possible disadvantages of Plotly.js

  • Performance Concerns
    Rendering very large datasets can be slow, potentially impacting the performance of the application, particularly in resource-constrained environments.
  • Complexity
    For users new to the library, the learning curve can be steep due to the extensive options and configurations available.
  • Size of Library
    Plotly.js has a relatively large file size, which can be a concern for web applications where minimizing load times and data transfer is critical.
  • Limited Free Features
    Certain advanced features and functionalities may require a paid subscription to Plotly's services, which may not be ideal for all users or projects.
  • Dependency Management
    Managing dependencies and ensuring compatibility with other JavaScript libraries can sometimes pose challenges, especially in complex applications.

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

Plotly.js videos

+ Add

[Beginner] Simple Bar Chart | React Plotly.js

More videos:

  • Tutorial - Create Real-time Chart with Javascript | Plotly.js Tutorial

Category Popularity

0-100% (relative to NumPy and Plotly.js)

NumPy

Plotly.js

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Libraries
0 0%
Libraries
100% 100

User comments

Share your experience with using NumPy and Plotly.js. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and Plotly.js

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

Plotly.js Reviews

15 JavaScript Libraries for Creating Beautiful Charts
Plotly.js is the first scientific JavaScript charting library for the web. It has been open-source since 2015, meaning anyone can use it for free. Plotly.js supports 20 chart types, including SVG maps, 3D charts, and statistical graphs. Itโ€™s built on top of D3.js and stack.gl.
Source: www.sitepoint.com
Top 10 JavaScript Charting Libraries for Every Data Visualization Need
Plotly.js is a high-level JavaScript library, free and open-source. It is built on D3.js and WebGL, so can be used to create many different chart types including 3D charts to statistical graphs.
Source: hackernoon.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Plotly.js. While we know about 122 links to NumPy, we've tracked only 4 mentions of Plotly.js. 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 (122)

View more

Plotly.js mentions (4)

  • Weekly JavaScript Roundup: Friday Links 17, February 07, 2025
    Plotly.js - Open-source JavaScript charting library behind Plotly and Dash. - Source: dev.to / over 1 year ago
  • Ask HN: What packages can be used to create interactive mathematics simulations?
    Well, MathML[1] support is (nearly) everywhere now, and as the docs say: MathML Core is a subset with increased implementation details based on rules from LaTeX and the Open Font Format. It is tailored for browsers and designed specifically to work well with other web standards including HTML, CSS, DOM, JavaScript. I don't have a lot of experience working with this stuff (yet) but if you can script your... - Source: Hacker News / about 3 years ago
  • What's new in Matplotlib 3.7.0 (Feb 13, 2023)
    Plotly offers multiple options (python, R, javascript). The weby stuff is done with plotly.js and uses d3.js underneath - https://github.com/plotly/plotly.js. - Source: Hacker News / over 3 years ago
  • How to decide between Dash versus Flask + React + Plotly.js?
    So you didn't use Django DRF as the backend? I'm just curious how Dash communicated with Django - did it communicate via plain HTTP calls? I guess you ran non-React Plotly.js (https://github.com/plotly/plotly.js)? Source: about 5 years ago

What are some alternatives?

When comparing NumPy and Plotly.js, 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.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

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

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

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

Chart.js - Easy, object oriented client side graphs for designers and developers.

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