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Victory VS Matplotlib

Compare Victory VS Matplotlib and see what are their differences

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Victory logo Victory

ReactJS library for building interactive data visualizations

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Victory Landing page
    Landing page //
    2021-10-11
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Victory videos

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Don't Buy a Victory Motorcycle! Vegas 8 Ball 0-60 mph Ride, Review, Impressions, Sale Price

More videos:

  • Review - SHOULD YOU BUY A VICTORY MOTORCYCLE ? | VICTORY GUNNER REVIEW | FEEDBACK WELCOME
  • Review - Victory Highball Honest Review

Matplotlib videos

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Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Victory and Matplotlib)

Victory

Matplotlib

Charting Libraries
100 100%
Charting Libraries
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Data Dashboard
27 27%
Data Dashboard
73% 73
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
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 Victory and Matplotlib

Victory Reviews

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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.
Source: www.technotification.com
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.
Source: searchbusinessanalytics.techtarget.com
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.
Source: www.analyticsvidhya.com
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...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Victory. 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.

Victory mentions (12)

  • Level Up Your Web App with Stunning React Charts: Introducing the Top 10 React Charts Libraries
    Victory is a set of modular charting components for React and React Native. Victory makes it easy to get started without sacrificing flexibility. Create one of a kind data visualizations with fully customizable styles and behaviors. Victory uses the same API for web and React Native applications for easy cross-platform charting. - Source: dev.to / 9 months ago
  • React Native ECharts VS Victory Native VS React Native Chart Kit, Which solution is better?
    Victory Native is a chart library that was developed in 2015. It has been 7 years since its inception. With a high cumulative download count of 7,434,044, it has garnered an impressive 10.3k+ stars on GitHub. It is the longest-standing and most widely used chart library in the history of React Native. - Source: dev.to / 11 months ago
  • What chart libraries are ‘modern’?
    Anyone use Victory? It looks like it is gaining traction. Source: about 1 year ago
  • How to create such chart in React Native?
    For convenience of others, here’s a link to Victory Native’s project site (it’s a react.js library with a native version, so be sure to find the native docs). Source: over 1 year ago
  • The Top 6 ReactJS Chart Libraries for Data Visualization
    Victory is a ReactJS and React Native chart library created by Formidable. It's based on ReactJS and D3, and comes with a slew of fully configurable charts pre-installed. - Source: dev.to / over 1 year ago
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Matplotlib mentions (98)

  • Implementing semantic image search with Amazon Titan and Supabase Vector
    Matplotlib: for displaying our image result. - Source: dev.to / 29 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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What are some alternatives?

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

Recharts - Redefined chart library built with React and D3

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

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

Plotly - Low-Code Data Apps

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