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Matplotlib VS Brilliant.org

Compare Matplotlib VS Brilliant.org 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...

Brilliant.org logo Brilliant.org

Brilliant - Understand concepts and build your problem solving skills with thousands of free problems and examples in math, science, and engineering.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Brilliant.org Landing page
    Landing page //
    2023-08-02

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.

Brilliant.org features and specs

  • Interactive Learning
    Brilliant.org offers a hands-on approach to learning, with interactive problem-solving and visual explanations that help in understanding complex concepts more effectively.
  • Wide Range of Topics
    The platform covers a diverse set of subjects including math, science, engineering, and computer science, making it a one-stop resource for various academic interests.
  • Skill Levels
    Courses and problems are designed for multiple skill levels, from beginner to advanced, allowing users to start at their own level and progress at their own pace.
  • Gamified Experience
    The gamified aspects, such as earning points and badges, make learning on the platform more engaging and motivating.
  • Expertly Curated Content
    Content is created and reviewed by experts in the field, ensuring high-quality and reliable educational material.
  • Mobile App
    Brilliant.org offers a mobile app, providing flexibility to learn on the go.

Possible disadvantages of Brilliant.org

  • Subscription Cost
    Access to the complete range of courses and features requires a subscription, which might be expensive for some users.
  • Limited Free Content
    The free version of Brilliant.org offers limited access to content, which may not be sufficient for a thorough learning experience.
  • Lack of Traditional Courses
    Brilliant.org focuses more on problem-solving and interactive learning, which might not be suitable for users looking for traditional, lecture-based courses.
  • No Accreditation
    Courses on Brilliant.org do not provide any formal accreditation or certificates, which may be a drawback for those looking to add formal qualifications to their resume.
  • Internet Dependency
    Accessing course material requires a stable internet connection, which can be a limitation for users with restricted internet access.

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

Brilliant.org videos

Brilliant.org โ€“ย Cool App Review

Category Popularity

0-100% (relative to Matplotlib and Brilliant.org)
Data Science And Machine Learning
Education
0 0%
100% 100
Technical Computing
100 100%
0% 0
Online Learning
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 Brilliant.org

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...

Brilliant.org Reviews

Math Made Easy: Best Apps Like PhotoMath
Brilliant is like the philosopher of math solver apps. Itโ€™s not just about getting the answer; itโ€™s about understanding the why and how. Itโ€™s like a deep dive into the world of math and science.

Social recommendations and mentions

Brilliant.org might be a bit more popular than Matplotlib. We know about 161 links to it since March 2021 and only 114 links to Matplotlib. 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 / 7 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 / 8 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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Brilliant.org mentions (161)

  • Ask HN: Who is hiring? (May 2025)
    Brilliant.org | Software Engineer (Interactives) | Remote (North America), SF, NYC | Full-time | $145k โ€” $220k | https://brilliant.org Brilliant is building world-class interactive learning experiences that combine challenging problems, compelling narratives, and delightful visual storytelling. We're hiring interactive engineers to help craft the next generation of interactive learning games and change how the... - Source: Hacker News / about 1 year ago
  • The Average American Spent 2.5 Months on Their Phone in 2024
    > Thereโ€™s no โ€œlearn about the worldโ€ course you take when you have nothing else to do. I've been testing https://brilliant.org/ and like it so far. Its scope is limited to STEM topics, but the thing I like about it is you can set courses to bite sized daily chunks as small as 5 minutes. - Source: Hacker News / over 1 year ago
  • Moon
    Brilliant.org[1] does a good job of using explorables in their learning materials, some of the best Iโ€™ve seen in that category. That said, Ciechanowski is on another level entirely. [1] https://brilliant.org/. - Source: Hacker News / over 1 year ago
  • Ask HN: Who is hiring? (November 2024)
    Brilliant.org | Software Engineers | Remote (North America), SF, NYC | Full-time | $170k โ€” $230k | https://brilliant.org Brilliant is building world-class interactive learning experiences that combine challenging problems, compelling narratives, and delightful visual storytelling. We're hiring for a number of engineering roles to help craft the next generation of interactive learning and change how the world... - Source: Hacker News / over 1 year ago
  • Ask HN: What learning methodologies should an Edtech capture?
    I think essentially you've described the methodology behind sites like https://brilliant.org/. - Source: Hacker News / over 1 year ago
View more

What are some alternatives?

When comparing Matplotlib and Brilliant.org, 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.

Khan Academy - Khan Academy offers online tools to help students learn about a variety of important school subjects. Tools include videos, practice exercises, and materials for instructors. Read more about Khan Academy.

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

ReadingIQ - ReadingIQ is the most leading digital learning library app for kids ages 2 to 13.

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

Preschool - Preschool!