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Matplotlib VS SonarCloud

Compare Matplotlib VS SonarCloud and see what are their differences

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Matplotlib logo Matplotlib

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

SonarCloud logo SonarCloud

Enhance your workflow with continuous code quality, SonarCloud automatically analyzes and decorates pull requests on GitHub, Bitbucket, Azure DevOps and GitLab on major languages.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • SonarCloud Landing page
    Landing page //
    2023-07-20

SonarCloud, a core component of the Sonar solution, is a Software-as-a-Service (SaaS) tool that systematically helps developers and organizations deliver Clean Code. SonarCloud easily integrates into the cloud DevOps platforms and extends the CI/CD workflow to perform automated code reviews to detect and help fix issues in the code.

Supported by the Sonar Clean as You Code methodology, only code that meets the defined quality standard can be released to production. SonarCloud analyzes the most popular programming languages, frameworks, and infrastructure technologies and supports over 5,000 Clean Code rules.

Trusted by 7 million developers and 400,000 organizations globally to clean more than half a trillion lines of code, Sonar has become integral to delivering better software.

SonarCloud

$ Details
freemium โ‚ฌ10.0 / Monthly (100,000 Lines of Code)
Platforms
Web Browser Google Chrome Internet Explorer Firefox Safari Cloud JavaScript PHP Python Java Ruby TypeScript JavaScript C++

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

SonarCloud features and specs

  • SAST Analysis
    Bug, Security Vulnerability, and Code Smell detection with remediation guidance
  • Code Reveiw
    Automatic code review and pull request feedback in your code repository
  • Quality Gate
    Go/No Go Quality Gate failing your pipelines when code doesnโ€™t meet requirements

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

SonarCloud videos

No SonarCloud videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Matplotlib and SonarCloud)
Data Science And Machine Learning
Developer Tools
0 0%
100% 100
Technical Computing
100 100%
0% 0
DevOps Tools
0 0%
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 Matplotlib and SonarCloud

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 doesnโ€™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...

SonarCloud Reviews

5 Best DevSecOps Tools in 2023
This software is not free but SonarCloud can be as little as โ‚ฌ10/month. SonarQube is software that you can license and run on your own hardware, whereas SonarCloud is Software as a Service (SaaS).

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than SonarCloud. It has been mentiond 114 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 (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

SonarCloud mentions (12)

  • free-for.dev
    Sonarcloud.io โ€” Automated source code analysis for Java, JavaScript, C/C++, C#, VB.NET, PHP, Objective-C, Swift, Python, Groovy and even more languages, free for Open Source. - Source: dev.to / over 3 years ago
  • A new version of Podman Desktop is out: v0.9.0
    Website has been improved with a lot of UI enhancements and updated content. On CI side, dependabot is now enabled as well as SonarCloud. Source: over 3 years ago
  • Sunday Daily Thread: What's everyone working on this week?
    I am also using [SonarCloud](https://sonarcloud.io/) for static code analysis to minimize the chances of bugs. Source: about 4 years ago
  • RFC: A Full-stack Analytics Platform Architecture
    Ideally, software can quickly go from development to production. Continuous deployment and delivery are some processes that make this possible. Continuous deployment means establishing an automated pipeline from development to production while continuous delivery means maintaining the main branch in a deployable state so that a deployment can be requested at any time. Predecos uses these tools. When a commit goes... - Source: dev.to / about 4 years ago
  • js / senior vs junior /.then vs await
    There are tools that scan a repo and automatically drop a comment on a PR if it picks up smells on new code. We used Sonarcloud at a previous job. Source: over 4 years ago
View more

What are some alternatives?

When comparing Matplotlib and SonarCloud, 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.

Snyk - Snyk helps you use open source and stay secure. Continuously find and fix vulnerabilities for npm, Maven, NuGet, RubyGems, PyPI and much more.

NumPy - NumPy is the fundamental package for scientific computing with Python

Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

Checkmarx - The industryโ€™s most comprehensive AppSec platform, Checkmarx One is fast, accurate, and accelerates your business.