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Matplotlib VS Mobbin

Compare Matplotlib VS Mobbin and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Matplotlib logo Matplotlib

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

Mobbin logo Mobbin

Latest mobile design patterns & elements library
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Mobbin Landing page
    Landing page //
    2023-10-06

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.

Mobbin features and specs

  • Extensive UI Database
    Mobbin offers a large collection of UI patterns from popular apps, providing a great resource for designers looking for inspiration and best practices.
  • Search and Filter
    The platform includes robust search and filter functionalities, allowing users to quickly find relevant UI elements based on categories, platforms, and other criteria.
  • High-Quality Screenshots
    All UI patterns are of high quality and offer detailed screenshots, making it easier for designers to understand and analyze different design elements.
  • Regular Updates
    Mobbin frequently updates its database with new UI patterns and design trends, ensuring that users have access to the latest design examples.
  • Team Collaboration Features
    The platform offers features that facilitate team collaboration, making it easier for design teams to share and discuss UI patterns internally.
  • Educational Resource
    In addition to providing visual inspiration, Mobbin can serve as an educational resource for new designers to learn from successful app designs.

Possible disadvantages of Mobbin

  • Subscription-Based Model
    While Mobbin offers a wealth of resources, its full collection and features are locked behind a subscription paywall, which may not be affordable for everyone.
  • Limited Free Access
    The free version of Mobbin offers limited access to their database, which may not be sufficient for some users looking for extensive design inspiration.
  • Lack of Original Content
    Mobbin primarily curates content from existing apps and may lack unique, original design resources created specifically for the platform.
  • Interface Overload
    With a vast amount of UI patterns and screenshots, some users may find the interface overwhelming and challenging to navigate efficiently.
  • Possible Overreliance
    There is a risk that designers might over-rely on Mobbin for inspiration, potentially stifling their own creativity and innovation.
  • Content Duplication
    Some UI patterns may appear similar or redundant, which could limit the diversity of design inspirations available.

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.

Analysis of Mobbin

Overall verdict

  • Yes, Mobbin is considered a valuable resource for mobile app design inspiration. Its user-friendly interface, comprehensive library of design patterns, and frequent updates make it a resourceful tool for those involved in the design and development process.

Why this product is good

  • Mobbin (mobbin.design) is highly regarded for its extensive collection of mobile app design patterns from some of the most popular apps on the market. It offers designers and developers inspiration and practical insights into user interface design, through detailed screenshots and organized content, which can enhance the design process.

Recommended for

  • UI/UX Designers seeking design inspiration
  • Product Managers overseeing app design
  • Developers interested in design patterns
  • Design students looking to study mobile UI trends

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Mobbin videos

+ Add

Mobbin' Robin โ”‚ 2009 Harley-Davidson Softail Deluxe

More videos:

  • Review - road king and road glide mobbin
  • Review - NEW SHOES FROM @FINISHLINE - MOBBIN' OUT!

Category Popularity

0-100% (relative to Matplotlib and Mobbin)

Matplotlib

Mobbin

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Design Tools
0 0%
Design Tools
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
Design Inspiration
0 0%
Design Inspiration
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 Mobbin

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

Mobbin Reviews

We have no reviews of Mobbin yet.
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Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Mobbin. 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 / 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
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Mobbin mentions (15)

  • Is there somewhere I can download examples of designs created by professionals?
    You can check mobbin.design and saasui.design and break them down yourself. Also best practises are never great if it doesnt work for you. So adapt. There will always be better ways to organise your design. All you need to find is a way that works for you. You need not choose the hard path. Sometimes easy gets work done. Source: over 3 years ago
  • free-for.dev
    Mobbin - [Mobile screenshots] Save hours of UI & UX research with our library of 50,000+ fully searchable mobile app screenshots. - Source: dev.to / over 3 years ago
  • Hey Please Give Me Feedback For My Design
    Those are great places to check! You can also edit your instagram feed to be design focused (e.g. Follow many design pages, mark irrelevant stuff as "show me less of this"). UI patterns can be found on mobbin.design or https://www.lapa.ninja/. Source: about 4 years ago
  • UI design feedback help please
    This is a good website for finding references and design trends: https://mobbin.design It has some paid features but you can totally use it for free as long as you create an account. I personally do this all the time, I hope it gives you some inspiration as well! Source: over 4 years ago
  • How to Design an App: Step-by-Step Guide for Non-Designers
    Mobbin Design โ€” Comprehensive curated library of mobile interfaces. - Source: dev.to / over 4 years ago
View more

What are some alternatives?

When comparing Matplotlib and Mobbin, 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.

Refero Design - The biggest collection of UX Patterns, UI Elements and design references from great web applications

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

Page Flows - User flow design inspiration for mobile & desktop

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

pttrns - iPhone and iPad user interface patterns

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