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Rust VS Matplotlib

Compare Rust VS Matplotlib and see what are their differences

Rust logo Rust

A safe, concurrent, practical language

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Rust Landing page
    Landing page //
    2023-05-09

We recommend LibHunt Rust for discovery and comparisons of trending Rust projects.

  • Matplotlib Landing page
    Landing page //
    2023-06-14

Rust videos

Rust Crash Course | Rustlang

More videos:

  • Review - Why You Should & Shouldn't Learn the Rust Programming Language
  • Review - All About Rust

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Rust and Matplotlib)
Programming Language
100 100%
0% 0
Technical Computing
0 0%
100% 100
OOP
100 100%
0% 0
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 Rust and Matplotlib

Rust Reviews

Top 5 Most Liked and Hated Programming Languages of 2022
A survey by Stack Overflow reveals that about 83.5% of 90000 developers loved Rust and tagged it to be the most adorable programming language. Rust is that general-purpose programming language that mainly caters to excellent performance and safety. This multi-worldview programming language has syntax similar to that of C++.
Top 10 Rust Alternatives
Several programming languages like Rust are among the popular ones. However, people are in search of some good alternatives to Rust. Therefore, today we will be talking more about the top 10 alternatives to Rust.
The 10 Best Programming Languages to Learn Today
Rust is a fairly advanced language, so you'll want to master another language or two before learning Rust. But you'll find that learning Rust pays off generously. The average salary for a Rust developer in the U.S. is $105,000 per year.
Source: ict.gov.ge

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 should be more popular than Rust. 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.

Rust mentions (44)

  • Learning Rust: Enumerating Excellence
    Let's dive back into Rust! This time we're going to be going through the lesson called "Enums and Pattern Matching". We're going to be looking at inferring meaning with our data, how we can use match to execute different code depending on input and finally we'll have a look at if let. - Source: dev.to / 3 months ago
  • Writing your own CLI in rust
    We will be using rust. Rust is a very simple to use memory and type safe language that is excellent for building cool and reliable CLI’s. In fact it has quickly become the number one tool for building CLI’s. I’ll dive into more on why rust CLI’s are good in a future blog post, so stay tuned for that. So, with that, let’s get our project set up. Install rust on your machine if you have not already. You can do so... - Source: dev.to / 9 months ago
  • RUST Indian clan
    This is the subreddit of the Rust programming language. You’re welcome to start learning it, but the subreddit you’re looking for is r/playrust. Source: about 1 year ago
  • Rust slogans?
    The Rust Project certainly has slogans. The web site says, for example:. Source: about 1 year ago
  • My first usable rust project: a simple local http server. Mainly posting here to get feedback:)
    Hello rustaceans, this is my first usable rust project which is a simple local http server. Posting here to get feedback on what I have done incorrectly or not in a idiomatic way and how to fix them in a idiomatic way. Cheers :). Source: about 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 / about 2 months 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 / 3 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 / 6 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 / 10 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: about 1 year ago
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What are some alternatives?

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

Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

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

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

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

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

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.