Software Alternatives & Reviews

Matplotlib VS Recharts

Compare Matplotlib VS Recharts and see what are their differences

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Recharts logo Recharts

Redefined chart library built with React and D3
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Recharts Landing page
    Landing page //
    2023-03-13

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Recharts videos

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Category Popularity

0-100% (relative to Matplotlib and Recharts)
Technical Computing
100 100%
0% 0
Charting Libraries
0 0%
100% 100
Data Science And Machine Learning
Data Dashboard
62 62%
38% 38

User comments

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Reviews

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

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...

Recharts Reviews

6 JavaScript Charting Libraries for Powerful Data Visualizations in 2023
Naturally, it’s preferable if your chosen JS library uses the same frontend framework as the rest of your app. Apart from Recharts, which is a React library, all the libraries on our list are compatible with most popular frameworks. Their APIs make it easy to integrate charts into your apps or web pages.
Source: embeddable.com
15 JavaScript Libraries for Creating Beautiful Charts
Recharts is a composable charting library for building charts with decoupled, reusable React components. It’s built on top of SVG elements and D3.js. Check out the list of examples.

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Recharts. It has been mentiond 98 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.

Matplotlib mentions (98)

  • Implementing semantic image search with Amazon Titan and Supabase Vector
    Matplotlib: for displaying our image result. - Source: dev.to / 18 days ago
  • Releasing The Force Of Machine Learning: A Novice’s Guide 😃
    Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 2 months ago
  • How to retrieve and analyze crypto order book data using Python and a cryptocurrency API
    Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 5 months ago
  • Ask HN: What plotting tools should I invest in learning?
    For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 9 months ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago
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Recharts mentions (15)

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What are some alternatives?

When comparing Matplotlib and Recharts, you can also consider the following products

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.

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.

Plotly - Low-Code Data Apps

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