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Atlassian Design VS Matplotlib

Compare Atlassian Design VS Matplotlib and see what are their differences

Kimp
Kimp is an unlimited design company, specializing in graphic design (including print and digital designs, custom illustrations, landing page designs and email designs) and video design. featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Atlassian Design logo Atlassian Design

Design, develop, and deliver

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Atlassian Design Landing page
    Landing page //
    2023-06-22
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Atlassian Design features and specs

  • Comprehensive Design System
    Atlassian Design provides a complete and consistent design system for building applications, which helps ensure user interfaces are coherent and professional.
  • Access to Components
    It offers a wide range of pre-built UI components that can be easily integrated into projects, saving time in the development process.
  • Documentation
    Extensive and detailed documentation is available, which helps developers and designers understand how to use the system effectively.
  • Consistency
    Ensures that all components and patterns follow the same design principles, resulting in a more consistent user experience across different products.
  • Community Support
    Being a part of the broader Atlassian community means that there is a wealth of shared knowledge and resources available to help solve common problems.

Possible disadvantages of Atlassian Design

  • Learning Curve
    For new users, especially those not familiar with Atlassian products, the system can have a steep learning curve.
  • Customization Limitations
    While it provides many components, customization options might be limited for more unique or advanced use cases.
  • Dependency
    Relying heavily on Atlassian's design system means that changes or updates from Atlassian can impact your products, necessitating continuous adaptation.
  • Performance
    Using a large number of pre-built components might affect the performance of your application, especially if all components are not optimized for your specific use case.
  • Integration Complexity
    Integrating Atlassian Design with other systems or legacy codebases may require additional effort and potentially complex workarounds.

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.

Analysis of Atlassian Design

Overall verdict

  • Yes, Atlassian Design is generally regarded as a good design system. Its emphasis on clarity, usability, and consistency makes it highly effective for teams looking to create seamless and user-friendly experiences.

Why this product is good

  • Atlassian Design is considered good because it provides a comprehensive and cohesive design system that ensures consistency across Atlassian's products. It is well-documented, user-focused, and continually updated to align with modern design trends and user needs. The platform offers a collection of guidelines, components, and patterns that facilitate the creation of intuitive and accessible user interfaces.

Recommended for

  • UI/UX Designers working on Atlassian products
  • Teams seeking guidance on design consistency
  • Product managers who prioritize a cohesive user experience
  • Developers implementing design systems
  • Design teams looking for a robust design framework

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.

Atlassian Design videos

+ Add

5 things our users want from the Atlassian Design System

More videos:

  • Review - Atlassian Design Week 2017

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Atlassian Design and Matplotlib)

Atlassian Design

Matplotlib

Design Tools
100 100%
Design Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Color Palette Generator
100 100%
Color Palette Generator
0% 0
Technical Computing
0 0%
Technical Computing
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 Atlassian Design and Matplotlib

Atlassian Design Reviews

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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.
Source: www.technotification.com
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.
Source: searchbusinessanalytics.techtarget.com
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.
Source: www.analyticsvidhya.com
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...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Atlassian Design. 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.

Atlassian Design mentions (12)

  • Top 5 Drag-and-Drop Libraries for React
    As the official evolution of react-beautiful-dnd, this library also comes with extensible accessibility features right out of the box. The default assistive controls are based on the Atlassian Design System, so if youโ€™re already using that, integration will be seamless. But if you arenโ€™t, you can easily replace those components with your own, or completely redefine how accessibility is provided and take a more... - Source: dev.to / over 1 year ago
  • Getting Started with Color Module for Your Design System
    Atlassian Design System: Atlassian's Design System encompasses a color module encompassing primary, secondary, and functional colors, along with an extended palette for shades and tints. The system provides comprehensive guidelines for effective color usage and emphasizes accessibility. - Source: dev.to / almost 3 years ago
  • Making a UI Kit. Is there a good checklist for Must Have elements?
    Atlassian design system: https://atlassian.design/. Source: about 3 years ago
  • What's the best way to encapsulate a feature to make it reusable?
    Regarding discoverability, you could build a directory with documentation. Similarly to how design systems are documented, e.g: https://atlassian.design/ But if you really want to share them you'll probably need to evangelize it somehow. Source: over 3 years ago
  • UI Design Roadmap 2023
    Step 5: Study design system Atlassian design system Primer design system Spectrum, Adobeโ€™s design system Carbon design system. - Source: dev.to / over 3 years ago
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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 / 5 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 / 8 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 / 9 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 / 10 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 / 11 months ago
View more

What are some alternatives?

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

Design Principles - An open source repository of design principles and methods

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

Facebook Design - Resources for Designers from the Facebook Design team

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

Colorbox.io - Create accessible color systems ๐ŸŽจ

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

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