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Matplotlib VS Jenkins

Compare Matplotlib VS Jenkins 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...

Jenkins logo Jenkins

Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Jenkins Landing page
    Landing page //
    2023-04-15

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.

Jenkins features and specs

  • Open Source
    Jenkins is an open-source tool, which means users can modify, share, and use it without licensing fees.
  • Large Plugin Ecosystem
    Jenkins has a robust plugin ecosystem with over 1,500 plugins, allowing extensive customization and functionality to fit various DevOps needs.
  • Active Community
    The active and large community of Jenkins users and developers provides extensive support, documentation, and shared solutions.
  • Platform Independent
    Jenkins can run on various platforms including Windows, macOS, and various Unix-like systems, providing flexibility in deployment.
  • CI/CD Capabilities
    Jenkins is well-suited for implementing Continuous Integration and Continuous Deployment (CI/CD) pipelines, facilitating automated build, test, and deployment processes.
  • Scalability
    It supports distributed builds using Master-Slave architecture, enabling you to scale your build and deployment processes across multiple machines.
  • Extensible
    Thanks to its plugin architecture, Jenkins can be extended to integrate with a variety of tools and services, making it highly adaptable.

Possible disadvantages of Jenkins

  • Complex Setup
    Initial setup and configuration of Jenkins can be complicated, especially for new users or large-scale environments.
  • Resource Intensive
    Jenkins can be resource-intensive, requiring significant memory and CPU, particularly for large projects or high-frequency builds.
  • Maintenance Overhead
    Due to its extensive plugin usage, keeping Jenkins and its plugins updated can be time-consuming and sometimes problematic.
  • Steep Learning Curve
    Learning to use Jenkins effectively can have a steep learning curve, particularly due to the need to understand its various plugins and configuration options.
  • User Interface
    The user interface of Jenkins is sometimes considered outdated and not as intuitive or user-friendly as some of its modern counterparts.
  • Security Vulnerabilities
    As with many open-source tools, Jenkins can have security vulnerabilities that need to be regularly addressed to ensure a secure environment.
  • Poor Plugin Compatibility
    Not all plugins are maintained equally, leading to potential compatibility issues or bugs when using multiple plugins together.

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

Jenkins videos

Mick Jenkins - The Circus Album Review | DEHH

More videos:

  • Review - Mick Jenkins - The Water[s] ALBUM REVIEW
  • Review - Mick Jenkins - THE WATERS First REACTION/REVIEW

Category Popularity

0-100% (relative to Matplotlib and Jenkins)
Data Science And Machine Learning
DevOps Tools
0 0%
100% 100
Technical Computing
100 100%
0% 0
Continuous Integration
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 Jenkins

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...

Jenkins Reviews

The Best Alternatives to Jenkins for Developers
Jenkins X, a new kind of Jenkins made for cloud environments and modern development practices, tries to make setting up and handling CI/CD pipelines easier. It uses Kubernetes along with GitOps ideas in order to offer teams working on cloud-native apps an automated way that is less complex when it comes to managing their projectโ€™s lifecycle.
Source: morninglif.com
Top 5 Jenkins Alternatives in 2024: Automation of IT Infrastructure Written byย Uzair Ghalibย on the 02nd Jan 2024
If you have searched about Jenkins alternatives and you are reading this article, then there must be one of the three reasons you are here. You are already using Jenkins and are fed up with facing different issues and looking for a change. Or maybe you havenโ€™t faced any issues yet but have heard the stories about Jenkins issues and looking to avoid them by choosing an...
Source: attuneops.io
What Are The Best Alternatives To Ansible? | Attune, Jenkins &, etc.
Jenkin is a popular tool for performing continuous integration of software projects in the market. Plus, it continues the delivery of projects regardless of the platform youโ€™re working on. And it is also responsible for handling any build or continuous integration with various testing and development technologies. As a product, Jenkins is more developer-centric and...
Best 8 Ansible Alternatives & equivalent in 2022
Jenkins is an open-source continuous integration tool. It is written using the Java programming language. It facilitates real-time testing and reporting on isolated changes in a larger code base. This software similar to Ansible helps developers to quickly find and solve defects in their code base & automate testing of their builds.
Source: www.guru99.com
Top 10 Most Popular Jenkins Alternatives for DevOps in 2024
Jenkins may be a de-facto tool for CI/CD, but itโ€™s no longer a shiny newcomer borne directly out of modern DevOps best practices. Although Jenkins is still relevant, newer tools can offer improved ergonomics and expanded functionality. These can be better suited to contemporary software delivery methods.
Source: spacelift.io

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Jenkins. While we know about 114 links to Matplotlib, we've tracked only 8 mentions of Jenkins. 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
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Jenkins mentions (8)

  • Continuous integration with containers and inceptions
    Jenkins is an orchestration tool first devised for CI, but since the creation of the pipeline plugin it has become more of a general-purpose orchestrator. - Source: dev.to / 8 months ago
  • CircleCI vs. Jenkins
    Jenkins is an open-source automation server used for software continuous integration and delivery. It automates various tasks, such as building, testing, and deploying applications.  It is easily extendable due to its vast ecosystem of plugins, making it easy to integrate into version control systems like Git, build tools like Maven/Gradle, and deployment platforms like AWS and Docker. - Source: dev.to / over 1 year ago
  • Automated delivery React / Vue app for each Pull Request.
    It will give you a possibility to find and solve problems faster, release more stable and higher quality products. Here we will use CircleCI, but you can use whatever you need (Jenkins, Travis CI, GitLab CI). - Source: dev.to / about 2 years ago
  • Is Jenkins dead? v2
    CloudBees Jenkins Platform is a commercial offering from CloudBees, it is not the Jenkins project itself (which is open source). Jenkins is alive and well. See https://jenkins.io. Source: about 3 years ago
  • ELI5 what is Jenkins?
    Ok. I'm talking about this: https://jenkins.io/. Source: over 3 years ago
View more

What are some alternatives?

When comparing Matplotlib and Jenkins, 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.

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.

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

Travis CI - Simple, flexible, trustworthy CI/CD tools. Join hundreds of thousands who define tests and deployments in minutes, then scale up simply with parallel or multi-environment builds using Travis CIโ€™s precision syntaxโ€”all with the developer in mind.

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

Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.