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Matplotlib VS Laravel

Compare Matplotlib VS Laravel 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...

Laravel logo Laravel

A PHP Framework For Web Artisans
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Laravel Landing page
    Landing page //
    2023-07-24

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.

Laravel features and specs

  • Eloquent ORM
    Laravel includes Eloquent ORM, which provides a beautiful and simple ActiveRecord implementation for working with your database. It allows for easy interaction with your databases, offering an intuitive syntax.
  • Blade Templating Engine
    The Blade templating engine offers a clean and efficient syntax for writing templates. It provides features like template inheritance and sections, which makes template design more manageable and organized.
  • Artisan CLI
    Laravel's Artisan Command Line Interface (CLI) allows developers to perform repetitive tasks and manage their Laravel project more efficiently with built-in commands for database migration, seeding, and building tasks.
  • Strong Community and Ecosystem
    Laravel has a large and active community that provides an abundance of resources, including packages, tutorials, and screencasts on Laracasts. This ecosystem allows for quick problem-solving and an extensive library of reusable components.
  • Robust Security Features
    Laravel provides built-in security features such as salted and hashed passwords, encryption, and protection against common vulnerabilities like SQL injection and cross-site request forgery (CSRF).
  • Efficient Testing
    Laravel comes with PHPUnit integrated, along with convenient helper methods, making writing test cases and performing automated testing more straightforward. This leads to better code reliability and fewer bugs.
  • Comprehensive Documentation
    Laravel has thorough and well-organized documentation that covers all its features in detail. This makes it easier for new and experienced developers to understand and use the framework effectively.

Possible disadvantages of Laravel

  • Performance Overhead
    Since Laravel is a full-featured framework, it includes many built-in functions and layers that can create performance overhead. For very high-performance applications, fine-tuning may be necessary.
  • Steep Learning Curve for Beginners
    For those new to web development or coming from a different programming paradigm, Laravel can be challenging to grasp initially due to its extensive features and modern PHP practices.
  • Heavy Dependency on Composer
    Laravel heavily relies on Composer for dependency management. While this is beneficial for package management, it can be a downside if you are not familiar with Composer or have issues managing packages.
  • Frequent Updates
    Laravel receives frequent updates and changes in the new versions, which can sometimes lead to compatibility issues with existing projects. Keeping up with the updates can be time-consuming.
  • Hosting Requirements
    Laravel requires specific server configurations and dependencies, which may not be available on all shared hosting services. This can necessitate using a Virtual Private Server (VPS) or dedicated server, which might have higher costs.

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Laravel videos

Laravel in 100 seconds

More videos:

  • Review - Why Laravel is Still Best in 2018

Category Popularity

0-100% (relative to Matplotlib and Laravel)
Technical Computing
100 100%
0% 0
Developer Tools
0 0%
100% 100
Data Science And Machine Learning
Web Frameworks
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 Laravel

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...

Laravel Reviews

Laravel vs. Symfony: A Comprehensive Comparison of PHP Frameworks
Laravel has a vibrant ecosystem with many first-party packages, such as Laravel Horizon for queue management, Laravel Echo for real-time events, and Laravel Sanctum for API authentication, that make it easy to extend functionality without much hassle.
The 20 Best Laravel Alternatives for Web Development
Oh, you bet. When devs talk Symfony, they’re eyeing robustness and a modular vibe that Laravel fans might miss. Its reusable components could tempt even the most loyal Laravel artisans to at least take a peek.
Top 9 best Frameworks for web development
The best frameworks for web development include React, Angular, Vue.js, Django, Spring, Laravel, Ruby on Rails, Flask and Express.js. Each of these frameworks has its own advantages and distinctive features, so it is important to choose the framework that best suits the needs of your project.
Source: www.kiwop.com
Top 5 Laravel Alternatives
However, there are other excellent choices other than Laravel as well. So, let’s check out some excellent Laravel alternatives before you hire Laravel developers India for your web development project. This post provides you with a thorough understanding of the available web development framework choices and their benefits over Laravel. For that, let’s first discuss the...
Framework review: Laravel vs CodeIgniter
Let's start with CodeIgniter first. It focuses on performance and speed. It offers a simple, easy-to-learn syntax, making it ideal for beginners. CodeIgniter uses its own proprietary Active Record implementation for database operations, which provides a simple and intuitive way to interact with data. Unlike Laravel, CodeIgniter does not enforce a specific architectural...
Source: infinyhost.com

Social recommendations and mentions

Based on our record, Laravel should be more popular than Matplotlib. It has been mentiond 240 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 (107)

  • Python for Data Visualization: Best Tools and Practices
    Matplotlib is the backbone of Python data visualization. It’s a flexible, reliable library for creating static plots. Whether you're making simple bar charts or complex graphs, Matplotlib allows extensive customization. You can adjust nearly every aspect of a plot to suit your needs. - Source: dev.to / about 1 month ago
  • Build a Competitive Intelligence Tool Powered by AI
    Add data visualization to make it actionable for your business using pandas.pydata.org and matplotlib.org. - Source: dev.to / 5 months ago
  • Data Visualisation Basics
    Matplotlib: a versatile library for visualizations, but it can take some code effort to put together common visualizations. - Source: dev.to / 9 months ago
  • Creating a CSV to Graph Generator App Using ToolJet and Python Libraries
    In this tutorial, we'll create a CSV to Graph Generator app using ToolJet and Python code. This app enables users to upload a CSV file and generate various types of graphs, including line, scatter, bar, histogram, and box plots. Since ToolJet supports Python (and JavaScript) code out of the box, we'll incorporate Python code and the matplotlib library to handle the graph generation. Additionally, we'll use... - Source: dev.to / 10 months ago
  • Something is strange with CrowdStrike timeline
    It looks like matplotlib to me: https://matplotlib.org/. - Source: Hacker News / 10 months ago
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Laravel mentions (240)

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What are some alternatives?

When comparing Matplotlib and Laravel, 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.

Django - The Web framework for perfectionists with deadlines

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

Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...

Plotly - Low-Code Data Apps

CodeIgniter - A Fully Baked PHP Framework