Software Alternatives, Accelerators & Startups

Plotly.js VS Matplotlib

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

Plotly.js logo Plotly.js

Open-source JavaScript charting library behind Plotly and Dash - plotly/plotly.js

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Plotly.js Landing page
    Landing page //
    2023-09-26
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Plotly.js videos

[Beginner] Simple Bar Chart | React Plotly.js

More videos:

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

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Plotly.js and Matplotlib)
Charting Libraries
100 100%
0% 0
Technical Computing
0 0%
100% 100
Data Dashboard
17 17%
83% 83
Data Science And Machine Learning

User comments

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Reviews

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

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. It’s built on top of D3.js and stack.gl.
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

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
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 code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
15 data science tools to consider using in 2021
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 visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesn’t support all file formats.
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Plotly.js. While we know about 100 links to Matplotlib, we've tracked only 3 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.

Plotly.js mentions (3)

  • 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 / 11 months 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 1 year 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: almost 3 years ago

Matplotlib mentions (100)

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What are some alternatives?

When comparing Plotly.js and Matplotlib, you can also consider the following products

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.

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

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

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

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

Google Charts - Interactive charts for browsers and mobile devices.